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325,300 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_concatenate.py | kamae.spark.transformers.array_concatenate.ArrayConcatenateTransformer | import tensorflow as tf
from typing import List, Optional
from pyspark import keyword_only
from pyspark.sql.types import ArrayType, DataType
from kamae.spark.params import AutoBroadcastParams, MultiInputSingleOutputParams
from kamae.tensorflow.layers import ArrayConcatenateLayer
from pyspark.sql import Column, DataFram... |
class ArrayConcatenateTransformer(BaseTransformer, MultiInputSingleOutputParams, AutoBroadcastParams):
'''
ArrayConcatenate Spark Transformer for use in Spark pipelines.
This transformer assembles multiple columns into a single array column.
'''
@keyword_only
def __init__(self, inputCols: Optio... | 9 | 6 | 47 | 3 | 19 | 25 | 1 | 1.25 | 3 | 7 | 1 | 0 | 4 | 0 | 5 | 60 | 253 | 19 | 104 | 39 | 80 | 130 | 32 | 20 | 26 | 3 | 6 | 1 | 7 |
325,301 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_crop.py | kamae.spark.transformers.array_crop.ArrayCropParams | from pyspark.ml.param import Param, TypeConverters
from kamae.spark.params import PadValueParams, SingleInputSingleOutputParams
class ArrayCropParams(PadValueParams):
"""
Mixin class containing pad value parameters needed
for array crop transformers.
"""
arrayLength = Param(PadValueParams._dummy(),... |
class ArrayCropParams(PadValueParams):
'''
Mixin class containing pad value parameters needed
for array crop transformers.
'''
def setArrayLength(self, value: int) -> 'ArrayCropParams':
'''
Sets the parameter array length to the given value.
:param value: array length.
... | 3 | 3 | 8 | 0 | 3 | 5 | 2 | 1 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 4 | 29 | 3 | 13 | 4 | 10 | 13 | 8 | 4 | 5 | 2 | 2 | 1 | 3 |
325,302 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_crop.py | kamae.spark.transformers.array_crop.ArrayCropTransformer | import pyspark.sql.functions as F
from pyspark.sql.types import BooleanType, DataType, FloatType, IntegerType, StringType
from kamae.spark.utils import get_array_nesting_level_and_element_dtype, single_input_single_output_array_transform
import tensorflow as tf
from kamae.spark.params import PadValueParams, SingleInput... |
class ArrayCropTransformer(BaseTransformer, SingleInputSingleOutputParams, ArrayCropParams):
'''
Transformer that reshapes arrays into consistent shapes by
either cropping or padding.
If the tensor is shorter than the specified length, it is
padded with specified pad value.
'''
@keyword_onl... | 9 | 5 | 27 | 1 | 15 | 11 | 2 | 0.78 | 3 | 8 | 1 | 0 | 4 | 1 | 5 | 62 | 153 | 11 | 80 | 28 | 58 | 62 | 28 | 12 | 22 | 5 | 6 | 1 | 10 |
325,303 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_split.py | kamae.spark.transformers.array_split.ArraySplitTransformer | from .base import BaseTransformer
import pyspark.sql.functions as F
from pyspark.sql import DataFrame
from kamae.spark.utils import single_input_single_output_array_transform
from kamae.tensorflow.layers import ArraySplitLayer
from pyspark.sql.types import DataType
from pyspark import keyword_only
from kamae.spark.para... |
class ArraySplitTransformer(BaseTransformer, SingleInputMultiOutputParams):
'''
ArraySplit Spark Transformer for use in Spark pipelines.
This transformer splits an array column into multiple columns.
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=None, outputCols: Optional[List[st... | 7 | 5 | 17 | 1 | 9 | 7 | 1 | 0.8 | 2 | 4 | 1 | 0 | 4 | 0 | 4 | 57 | 82 | 8 | 41 | 24 | 24 | 33 | 18 | 12 | 13 | 2 | 6 | 1 | 5 |
325,304 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_subtract_minimum.py | kamae.spark.transformers.array_subtract_minimum.ArraySubtractMinimumParams | from pyspark.ml.param import Param, Params, TypeConverters
class ArraySubtractMinimumParams(Params):
"""
Mixin class containing pad value parameters needed
for array subtract min transformers.
"""
padValue = Param(Params._dummy(), 'padValue', 'The value to be considered as padding. Defaults to `Non... |
class ArraySubtractMinimumParams(Params):
'''
Mixin class containing pad value parameters needed
for array subtract min transformers.
'''
def setPadValue(self, value: float) -> 'ArraySubtractMinimumParams':
'''
Sets the parameter pad value to the given value.
:param value: ... | 3 | 3 | 8 | 1 | 2 | 5 | 1 | 1.18 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 29 | 5 | 11 | 4 | 8 | 13 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
325,305 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/array_subtract_minimum.py | kamae.spark.transformers.array_subtract_minimum.ArraySubtractMinimumTransformer | import tensorflow as tf
from typing import List, Optional
import pyspark.sql.functions as F
from kamae.spark.utils import single_input_single_output_array_transform
from kamae.tensorflow.layers import ArraySubtractMinimumLayer
from pyspark.sql.types import ArrayType, ByteType, DataType, DoubleType, FloatType, IntegerTy... |
class ArraySubtractMinimumTransformer(BaseTransformer, SingleInputSingleOutputParams, ArraySubtractMinimumParams):
'''
ArraySubtractMinimumTransformer that computes the difference within an array from
the minimum non-paded element in the input tensor. The calculation preserves the pad
value elements.
... | 8 | 5 | 24 | 1 | 13 | 9 | 1 | 0.85 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 59 | 125 | 12 | 61 | 24 | 41 | 52 | 21 | 10 | 15 | 2 | 6 | 1 | 7 |
325,306 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/base.py | kamae.spark.transformers.base.BaseTransformer | from pyspark.sql import DataFrame
from abc import abstractmethod
from pyspark.ml import Transformer
import tensorflow as tf
from kamae.spark.common import SparkOperation
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
class BaseTransformer(Transformer, SparkOperation):
"""
Abstract class for... |
class BaseTransformer(Transformer, SparkOperation):
'''
Abstract class for all transformers.
'''
def __init__(self) -> None:
'''
Initializes the transformer.
'''
pass
def transform(self, dataset: DataFrame, params: Optional['ParamMap']=None) -> DataFrame:
... | 6 | 5 | 20 | 2 | 12 | 7 | 1 | 0.6 | 2 | 5 | 0 | 70 | 4 | 1 | 4 | 48 | 88 | 11 | 48 | 13 | 40 | 29 | 21 | 8 | 16 | 2 | 5 | 1 | 5 |
325,307 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bearing_angle.py | kamae.spark.transformers.bearing_angle.BearingAngleParams | from kamae.spark.params import LatLonConstantParams, MultiInputSingleOutputParams
from typing import List, Optional
class BearingAngleParams(LatLonConstantParams, MultiInputSingleOutputParams):
"""
Mixin class setting input cols.
"""
def setInputCols(self, value: List[str]) -> 'BearingAngleParams':
... |
class BearingAngleParams(LatLonConstantParams, MultiInputSingleOutputParams):
'''
Mixin class setting input cols.
'''
def setInputCols(self, value: List[str]) -> 'BearingAngleParams':
'''
Overrides setting the input columns for the transformer.
Throws an error if we do not ... | 2 | 2 | 20 | 0 | 13 | 7 | 3 | 0.71 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 16 | 25 | 1 | 14 | 2 | 12 | 10 | 6 | 2 | 4 | 3 | 4 | 1 | 3 |
325,308 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bearing_angle.py | kamae.spark.transformers.bearing_angle.BearingAngleTransformer | from pyspark.sql.types import DataType, DoubleType, FloatType
from kamae.tensorflow.layers import BearingAngleLayer
import math
import pyspark.sql.functions as F
from typing import List, Optional
from kamae.spark.utils import multi_input_single_output_scalar_transform
from pyspark.sql import Column, DataFrame
import te... |
class BearingAngleTransformer(BaseTransformer, BearingAngleParams):
'''
Bearing Angle Calculator Spark Transformer for use in Spark pipelines.
This transformer computes the bearing angle between two lat/lon pairs.
This can be between four columns (one for each lat/lon) or between two columns
and a ... | 13 | 8 | 22 | 1 | 13 | 8 | 1 | 0.77 | 2 | 5 | 1 | 0 | 5 | 0 | 7 | 63 | 171 | 15 | 88 | 42 | 62 | 68 | 39 | 25 | 30 | 2 | 6 | 1 | 10 |
325,309 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bin.py | kamae.spark.transformers.bin.BinParams | from pyspark.ml.param import Param, Params, TypeConverters
from typing import Any, List, Optional, Union
class BinParams(Params):
"""
Mixin class containing parameters needed for Bin transform layers.
"""
conditionOperators = Param(Params._dummy(), 'conditionOperators', 'Operators to use in condition: ... |
class BinParams(Params):
'''
Mixin class containing parameters needed for Bin transform layers.
'''
def _check_params_size(self, param_name: str, param_value: List[Any]) -> None:
'''
Checks that the length of the given parameter is the same as the length of
the other parame... | 10 | 10 | 11 | 1 | 4 | 6 | 1 | 1.02 | 1 | 5 | 0 | 1 | 9 | 0 | 9 | 9 | 144 | 23 | 60 | 17 | 50 | 61 | 34 | 17 | 24 | 4 | 1 | 3 | 13 |
325,310 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bin.py | kamae.spark.transformers.bin.BinTransformer | import pyspark.sql.functions as F
from pyspark.sql import Column, DataFrame
from kamae.spark.params import SingleInputSingleOutputParams
from kamae.tensorflow.layers import BinLayer
from typing import Any, List, Optional, Union
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongTy... |
class BinTransformer(BaseTransformer, SingleInputSingleOutputParams, BinParams):
'''
Bin Spark Transformer for use in Spark pipelines.
This transformer performs a binning operation on a column in a Spark dataframe.
The binning operation is performed by comparing the input column to a list of
values... | 8 | 6 | 26 | 2 | 13 | 12 | 1 | 0.89 | 3 | 6 | 1 | 0 | 4 | 0 | 4 | 66 | 134 | 13 | 64 | 32 | 41 | 57 | 22 | 15 | 16 | 2 | 6 | 1 | 6 |
325,311 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bloom_encode.py | kamae.spark.transformers.bloom_encode.BloomEncodeParams | from kamae.spark.params import HashIndexParams, SingleInputSingleOutputParams
from pyspark.ml.param import Param, Params, TypeConverters
class BloomEncodeParams(HashIndexParams):
"""
Mixin class containing parameters needed for bloom encoding.
"""
numHashFns = Param(Params._dummy(), 'numHashFns', 'Numb... |
class BloomEncodeParams(HashIndexParams):
'''
Mixin class containing parameters needed for bloom encoding.
'''
def setNumHashFns(self, value: int) -> 'BloomEncodeParams':
'''
Sets the `numHashFns` parameter.
'''
pass
def getNumHashFns(self) -> int:
'''
... | 8 | 8 | 7 | 0 | 4 | 3 | 2 | 0.55 | 1 | 3 | 0 | 1 | 7 | 0 | 7 | 11 | 78 | 10 | 44 | 11 | 36 | 24 | 25 | 11 | 17 | 3 | 2 | 1 | 11 |
325,312 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bloom_encode.py | kamae.spark.transformers.bloom_encode.BloomEncodeTransformer | from pyspark import keyword_only
from kamae.spark.params import HashIndexParams, SingleInputSingleOutputParams
from pyspark.sql import Column, DataFrame
import tensorflow as tf
from kamae.tensorflow.layers import BloomEncodeLayer
from pyspark.sql.types import ArrayType, DataType, IntegerType, StringType
from typing imp... |
class BloomEncodeTransformer(BaseTransformer, BloomEncodeParams, SingleInputSingleOutputParams):
'''
Bloom encoder Spark Transformer for use in Spark pipelines.
This transformer performs bloom encoding on the input column resulting in an
array of integers of size equal to numHashFns.
See paper for ... | 9 | 6 | 25 | 1 | 13 | 11 | 1 | 0.87 | 3 | 8 | 1 | 0 | 5 | 0 | 5 | 69 | 155 | 13 | 76 | 31 | 51 | 66 | 23 | 13 | 16 | 2 | 6 | 1 | 8 |
325,313 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bucketize.py | kamae.spark.transformers.bucketize.BucketizeParams | from typing import List, Optional, Union
from pyspark.ml.param import Param, Params, TypeConverters
class BucketizeParams(Params):
"""
Mixin class containing splits parameter needed for bucketing.
"""
splits = Param(Params._dummy(), 'splits', 'List of split points for bucketing.', typeConverter=TypeCon... |
class BucketizeParams(Params):
'''
Mixin class containing splits parameter needed for bucketing.
'''
@staticmethod
def check_splits_sorted(splits: List[float]) -> None:
'''
Checks that the splits parameter is sorted.
:param splits: List of float values to use for bucketi... | 5 | 4 | 8 | 1 | 3 | 4 | 1 | 1 | 1 | 2 | 0 | 1 | 2 | 0 | 3 | 3 | 39 | 7 | 16 | 6 | 11 | 16 | 10 | 5 | 6 | 2 | 1 | 1 | 4 |
325,314 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/bucketize.py | kamae.spark.transformers.bucketize.BucketizeTransformer | import pyspark.sql.functions as F
from pyspark import keyword_only
from .base import BaseTransformer
from kamae.spark.utils.transform_utils import single_input_single_output_scalar_udf_transform
from kamae.spark.params import SingleInputSingleOutputParams
import tensorflow as tf
from typing import List, Optional, Union... |
class BucketizeTransformer(BaseTransformer, BucketizeParams, SingleInputSingleOutputParams):
'''
BucketizeLayer Spark Transformer for use in Spark pipelines.
This transformer buckets a numerical column into bins.
Buckets will be created based on the splits parameter.
The bins are integer values sta... | 8 | 5 | 17 | 1 | 9 | 7 | 1 | 0.83 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 60 | 97 | 11 | 47 | 24 | 27 | 39 | 18 | 10 | 12 | 2 | 6 | 1 | 6 |
325,315 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/conditional_standard_scale.py | kamae.spark.transformers.conditional_standard_scale.ConditionalStandardScaleTransformer | from kamae.spark.params import SingleInputSingleOutputParams, StandardScaleSkipZerosParams
from kamae.spark.utils.transform_utils import single_input_single_output_array_transform
from pyspark import keyword_only
import pyspark.sql.functions as F
from pyspark.sql import DataFrame
from pyspark.sql.types import ArrayType... |
class ConditionalStandardScaleTransformer(BaseTransformer, StandardScaleParams, StandardScaleSkipZerosParams, SingleInputSingleOutputParams):
'''
Conditional standard scaler transformer for use in Spark pipelines.
This is used to standardize/transform the input column using the mean and
the standard de... | 9 | 5 | 28 | 1 | 16 | 12 | 2 | 0.8 | 4 | 5 | 1 | 0 | 4 | 0 | 4 | 67 | 134 | 10 | 70 | 34 | 47 | 56 | 29 | 16 | 24 | 5 | 6 | 1 | 8 |
325,316 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/cosine_similarity.py | kamae.spark.transformers.cosine_similarity.CosineSimilarityTransformer | from kamae.tensorflow.layers import CosineSimilarityLayer
from typing import List, Optional
from .base import BaseTransformer
import pyspark.sql.functions as F
from pyspark.sql.types import ArrayType, DataType, DoubleType, FloatType
from pyspark.sql import Column, DataFrame
from pyspark import keyword_only
from kamae.s... |
class CosineSimilarityTransformer(BaseTransformer, MultiInputSingleOutputParams):
'''
Cosine Similarity Spark Transformer for use in Spark pipelines.
This transformer computes the cosine similarity between two array columns.
'''
@keyword_only
def __init__(self, inputCols: Optional[List[str]]=No... | 10 | 6 | 17 | 1 | 11 | 5 | 1 | 0.59 | 2 | 5 | 1 | 0 | 5 | 0 | 5 | 58 | 124 | 14 | 69 | 25 | 49 | 41 | 25 | 13 | 17 | 2 | 6 | 1 | 9 |
325,317 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/current_date.py | kamae.spark.transformers.current_date.CurrentDateTransformer | from pyspark import keyword_only
import tensorflow as tf
from pyspark.sql.types import DataType
from kamae.spark.params import SingleInputSingleOutputParams
from kamae.tensorflow.layers import CurrentDateLayer
from typing import List, Optional
from kamae.spark.transformers.base import BaseTransformer
from kamae.spark.u... |
class CurrentDateTransformer(BaseTransformer, SingleInputSingleOutputParams):
'''
Returns the current UTC date in yyyy-MM-dd format.
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=None, outputCol: Optional[str]=None, inputDtype: Optional[str]=None, outputDtype: Optional[str]=None, lay... | 8 | 6 | 19 | 2 | 8 | 10 | 1 | 1.19 | 2 | 3 | 1 | 0 | 4 | 1 | 4 | 57 | 94 | 13 | 37 | 21 | 22 | 44 | 18 | 12 | 12 | 1 | 6 | 0 | 5 |
325,318 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/current_date_time.py | kamae.spark.transformers.current_date_time.CurrentDateTimeTransformer | from typing import List, Optional
from kamae.tensorflow.layers import CurrentDateTimeLayer
import pyspark.sql.functions as F
from kamae.spark.utils import single_input_single_output_scalar_transform
from kamae.spark.params import SingleInputSingleOutputParams
import tensorflow as tf
from kamae.spark.transformers.base i... |
class CurrentDateTimeTransformer(BaseTransformer, SingleInputSingleOutputParams):
'''
Returns the current UTC datetime in yyyy-MM-dd HH:mm:ss.SSS format.
NOTE: Parity between this and its TensorFlow counterpart is very difficult at the
millisecond level. We have to round the TensorFlow timestamp to the... | 8 | 6 | 21 | 2 | 9 | 10 | 1 | 1.23 | 2 | 3 | 1 | 0 | 4 | 1 | 4 | 57 | 104 | 15 | 40 | 21 | 25 | 49 | 18 | 12 | 12 | 1 | 6 | 0 | 5 |
325,319 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/current_unix_timestamp.py | kamae.spark.transformers.current_unix_timestamp.CurrentUnixTimestampTransformer | from kamae.spark.params import SingleInputSingleOutputParams, UnixTimestampParams
import pyspark.sql.functions as F
from pyspark import keyword_only
from kamae.spark.utils import single_input_single_output_scalar_transform
from kamae.spark.transformers.base import BaseTransformer
from kamae.tensorflow.layers import Cur... |
class CurrentUnixTimestampTransformer(BaseTransformer, SingleInputSingleOutputParams, UnixTimestampParams):
'''
Returns the current unix timestamp in either seconds or milliseconds.
NOTE: Parity between this and its TensorFlow counterpart is very difficult at the
millisecond level. TensorFlow provides ... | 8 | 6 | 23 | 2 | 12 | 9 | 1 | 0.94 | 3 | 3 | 1 | 0 | 4 | 0 | 4 | 59 | 111 | 14 | 50 | 26 | 32 | 47 | 21 | 14 | 15 | 2 | 6 | 0 | 6 |
325,320 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_add.py | kamae.spark.transformers.date_add.DateAddTransformer | from pyspark.sql import DataFrame
import tensorflow as tf
import pyspark.sql.functions as F
from kamae.spark.params import MultiInputSingleOutputParams, SingleInputSingleOutputParams
from kamae.spark.utils import get_element_type, multi_input_single_output_scalar_transform
from pyspark import keyword_only
from pyspark.... |
class DateAddTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, DateAdditionParams):
'''
Transformer to add or subtract a static or dynamic (column) number of days
from a date column.
WARNING: This transform destroys the time component of the date column.
'''
... | 9 | 7 | 22 | 1 | 13 | 8 | 2 | 0.59 | 4 | 5 | 1 | 0 | 6 | 0 | 6 | 62 | 149 | 14 | 85 | 30 | 62 | 50 | 34 | 14 | 27 | 4 | 6 | 1 | 12 |
325,321 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_add.py | kamae.spark.transformers.date_add.DateAdditionParams | from pyspark.ml.param import Param, Params, TypeConverters
class DateAdditionParams(Params):
"""
Mixin class for a date addition transformer.
"""
numDays = Param(Params._dummy(), 'numDays', 'Number of days to add/subtract. Negative values subtract.', typeConverter=TypeConverters.toInt)
def getNumD... |
class DateAdditionParams(Params):
'''
Mixin class for a date addition transformer.
'''
def getNumDays(self) -> int:
'''
Gets the value of the numDays parameter.
:returns: Number of days to add/subtract.
'''
pass
def setNumDays(self, value: int) -> 'Date... | 3 | 3 | 9 | 1 | 3 | 5 | 2 | 0.92 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 2 | 30 | 5 | 13 | 4 | 10 | 12 | 8 | 4 | 5 | 2 | 1 | 1 | 3 |
325,322 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_diff.py | kamae.spark.transformers.date_diff.DateDiffTransformer | import pyspark.sql.functions as F
from typing import List, Optional
from pyspark.sql import Column, DataFrame
from kamae.spark.params import DefaultIntValueParams, MultiInputSingleOutputParams
from .base import BaseTransformer
from kamae.spark.utils import multi_input_single_output_scalar_transform
import tensorflow as... |
class DateDiffTransformer(BaseTransformer, MultiInputSingleOutputParams, DefaultIntValueParams):
'''
DateDiffLayer Spark Transformer for use in Spark pipelines.
This transformer calculates the difference between two dates.
'''
@keyword_only
def __init__(self, inputCols: Optional[List[str]]=None... | 9 | 6 | 18 | 1 | 10 | 7 | 1 | 0.74 | 3 | 5 | 1 | 0 | 5 | 0 | 5 | 60 | 114 | 13 | 58 | 26 | 37 | 43 | 24 | 12 | 17 | 2 | 6 | 1 | 8 |
325,323 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_parse.py | kamae.spark.transformers.date_parse.DateParseParams | from kamae.spark.params import DefaultIntValueParams, SingleInputSingleOutputParams
from pyspark.ml.param import Param, Params, TypeConverters
class DateParseParams(DefaultIntValueParams):
"""
Mixin class for a date part.
"""
datePart = Param(Params._dummy(), 'datePart', 'Date part to extract from date... |
class DateParseParams(DefaultIntValueParams):
'''
Mixin class for a date part.
'''
def getDatePart(self) -> str:
'''
Gets the value of the datePart parameter.
:returns: Date part to extract from date.
'''
pass
def setDatePart(self, value: str) -> 'DateP... | 3 | 3 | 17 | 3 | 10 | 5 | 2 | 0.46 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 4 | 46 | 8 | 26 | 5 | 23 | 12 | 9 | 5 | 6 | 2 | 2 | 1 | 3 |
325,324 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_parse.py | kamae.spark.transformers.date_parse.DateParseTransformer | from kamae.spark.utils import single_input_single_output_scalar_transform
from pyspark.sql import Column, DataFrame
from pyspark import keyword_only
import tensorflow as tf
from kamae.tensorflow.layers import DateParseLayer
from typing import List, Optional
from itertools import chain
from kamae.spark.params import Def... |
class DateParseTransformer(BaseTransformer, SingleInputSingleOutputParams, DateParseParams):
'''
Date parse transform layer.
This layer parses a date(time) column into a specified date part.
We require the date format to be yyyy-MM-dd (HH:mm:ss.SSS).
Date parts can be one of the following:
- `D... | 9 | 6 | 22 | 3 | 13 | 6 | 2 | 0.68 | 3 | 6 | 1 | 0 | 5 | 0 | 5 | 62 | 154 | 23 | 78 | 28 | 58 | 53 | 29 | 15 | 22 | 2 | 6 | 1 | 9 |
325,325 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/date_time_to_unix_timestamp.py | kamae.spark.transformers.date_time_to_unix_timestamp.DateTimeToUnixTimestampTransformer | import tensorflow as tf
import pyspark.sql.functions as F
from kamae.spark.utils import single_input_single_output_scalar_transform
from kamae.spark.transformers.base import BaseTransformer
from pyspark import keyword_only
from typing import List, Optional
from kamae.tensorflow.layers import DateTimeToUnixTimestampLaye... |
class DateTimeToUnixTimestampTransformer(BaseTransformer, SingleInputSingleOutputParams, UnixTimestampParams):
'''
Transformer that converts a datetime string to a unix timestamp.
The unix timestamp can be in milliseconds or seconds, set by the `unit` parameter.
'''
@keyword_only
def __init__(s... | 8 | 6 | 25 | 2 | 12 | 12 | 1 | 0.92 | 3 | 3 | 1 | 0 | 4 | 0 | 4 | 59 | 113 | 13 | 52 | 28 | 34 | 48 | 23 | 16 | 17 | 1 | 6 | 0 | 5 |
325,326 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/divide.py | kamae.spark.transformers.divide.DivideTransformer | from typing import List, Optional
from functools import reduce
from kamae.spark.utils import multi_input_single_output_scalar_transform
from pyspark import keyword_only
import pyspark.sql.functions as F
import tensorflow as tf
from pyspark.sql import Column, DataFrame
from kamae.spark.params import MathFloatConstantPar... |
class DivideTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
DivideLayer Spark Transformer for use in Spark pipelines.
This transformer divides a column by a constant or another column.
'''
@keyword_only
def __init__(self, i... | 8 | 6 | 19 | 1 | 9 | 8 | 1 | 0.81 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 104 | 10 | 52 | 27 | 30 | 42 | 18 | 11 | 12 | 1 | 6 | 0 | 5 |
325,327 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/exp.py | kamae.spark.transformers.exp.ExpTransformer | from kamae.tensorflow.layers import ExpLayer
from .base import BaseTransformer
from kamae.spark.utils import single_input_single_output_scalar_transform
from pyspark import keyword_only
from kamae.spark.params import SingleInputSingleOutputParams
from typing import List, Optional
import tensorflow as tf
from pyspark.sq... |
class ExpTransformer(BaseTransformer, SingleInputSingleOutputParams):
'''
exp value Spark Transformer for use in Spark pipelines.
This transformer applies exp(x) operation to the input.
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=None, outputCol: Optional[str]=None, inputDtype:... | 7 | 5 | 15 | 1 | 7 | 7 | 1 | 0.91 | 2 | 3 | 1 | 0 | 4 | 0 | 4 | 57 | 75 | 8 | 35 | 20 | 18 | 32 | 13 | 8 | 8 | 1 | 6 | 0 | 4 |
325,328 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/exponent.py | kamae.spark.transformers.exponent.ExponentParams | from pyspark.ml.param import Param, Params, TypeConverters
class ExponentParams(Params):
"""
Mixin class containing alpha parameter needed for exponent transform layers.
"""
exponent = Param(Params._dummy(), 'exponent', 'Value to use in exponent transform: x^exponent', typeConverter=TypeConverters.toFl... |
class ExponentParams(Params):
'''
Mixin class containing alpha parameter needed for exponent transform layers.
'''
def setExponent(self, value: float) -> 'ExponentParams':
'''
Sets the exponent parameter.
:param value: Float value to use in exponent transform: x^exponent.
... | 3 | 3 | 8 | 1 | 2 | 5 | 1 | 1.09 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 28 | 5 | 11 | 4 | 8 | 12 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
325,329 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/exponent.py | kamae.spark.transformers.exponent.ExponentTransformer | from pyspark import keyword_only
from .base import BaseTransformer
from kamae.spark.utils import multi_input_single_output_scalar_transform
from kamae.tensorflow.layers import ExponentLayer
from pyspark.sql import DataFrame
from pyspark.sql.types import DataType, DoubleType, FloatType
import tensorflow as tf
from kamae... |
class ExponentTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ExponentParams):
'''
Exponent Spark Transformer for use in Spark pipelines.
This transformer applies x^exponent in the case of single input and or x^y in the
case of two inputs.
'''
@keyword_... | 8 | 6 | 20 | 1 | 10 | 9 | 1 | 0.88 | 4 | 5 | 1 | 0 | 5 | 0 | 5 | 61 | 119 | 12 | 57 | 27 | 35 | 50 | 20 | 11 | 14 | 2 | 6 | 1 | 6 |
325,330 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/hash_index.py | kamae.spark.transformers.hash_index.HashIndexTransformer | from pyspark.sql.types import DataType, IntegerType, StringType
from kamae.tensorflow.layers import HashIndexLayer
import tensorflow as tf
from pyspark import keyword_only
import pyspark.sql.functions as F
from .base import BaseTransformer
from kamae.spark.params import HashIndexParams, SingleInputSingleOutputParams
fr... |
class HashIndexTransformer(BaseTransformer, HashIndexParams, SingleInputSingleOutputParams):
'''
Hash indexer Spark Transformer for use in Spark pipelines.
This transformer hashes the input column and then bins it into
the specified number of bins using modulo arithmetic.
NOTE: If your data contain... | 7 | 5 | 19 | 2 | 10 | 8 | 1 | 0.83 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 97 | 11 | 47 | 25 | 27 | 39 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,331 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/haversine_distance.py | kamae.spark.transformers.haversine_distance.HaversineDistanceParams | from pyspark.ml.param import Param, Params, TypeConverters
from kamae.spark.params import LatLonConstantParams, MultiInputSingleOutputParams
from typing import List, Optional
class HaversineDistanceParams(LatLonConstantParams, MultiInputSingleOutputParams):
"""
Mixin class containing unit parameters.
"""
... |
class HaversineDistanceParams(LatLonConstantParams, MultiInputSingleOutputParams):
'''
Mixin class containing unit parameters.
'''
def setUnit(self, value: str) -> 'HaversineDistanceParams':
'''
Sets the unit parameter.
:param value: The unit to use for the distance calcula... | 4 | 4 | 12 | 0 | 6 | 5 | 2 | 0.7 | 2 | 2 | 0 | 1 | 3 | 0 | 3 | 18 | 50 | 4 | 27 | 5 | 23 | 19 | 13 | 5 | 9 | 3 | 4 | 1 | 6 |
325,332 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/haversine_distance.py | kamae.spark.transformers.haversine_distance.HaversineDistanceTransformer | from .base import BaseTransformer
import pyspark.sql.functions as F
from pyspark.sql.types import DataType, DoubleType, FloatType
from typing import List, Optional
from kamae.tensorflow.layers import HaversineDistanceLayer
from pyspark.sql import Column, DataFrame
from kamae.spark.utils import multi_input_single_output... |
class HaversineDistanceTransformer(BaseTransformer, HaversineDistanceParams):
'''
Haversine Distance Spark Transformer for use in Spark pipelines.
This transformer computes the haversine distance between two lat/lon pairs.
This can be between four columns (one for each lat/lon) or between two columns
... | 13 | 8 | 23 | 3 | 13 | 8 | 1 | 0.74 | 2 | 5 | 1 | 0 | 5 | 1 | 7 | 65 | 185 | 25 | 92 | 45 | 65 | 68 | 39 | 27 | 30 | 2 | 6 | 1 | 11 |
325,333 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/identity.py | kamae.spark.transformers.identity.IdentityTransformer | from kamae.spark.params import SingleInputSingleOutputParams
from pyspark.sql.types import DataType
from pyspark.sql import DataFrame
from pyspark import keyword_only
from .base import BaseTransformer
from typing import List, Optional
import pyspark.sql.functions as F
from kamae.tensorflow.layers import IdentityLayer
i... |
class IdentityTransformer(BaseTransformer, SingleInputSingleOutputParams):
'''
IdentityLayer Spark Transformer for use in Spark pipelines.
This transformer simply passes the input to the output unchanged.
Used for cases where you want to keep the input the same.
'''
@keyword_only
def __init... | 7 | 5 | 14 | 1 | 5 | 8 | 1 | 1.33 | 2 | 3 | 1 | 0 | 4 | 0 | 4 | 57 | 71 | 8 | 27 | 18 | 10 | 36 | 11 | 6 | 6 | 1 | 6 | 0 | 4 |
325,334 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/if_statement.py | kamae.spark.transformers.if_statement.IfStatementParams | from numbers import Number
from pyspark.ml.param import Param, Params, TypeConverters
from typing import List, Optional, Union
class IfStatementParams(Params):
"""
Mixin class containing parameters needed for IfStatementTransformer
transform layers.
"""
conditionOperator = Param(Params._dummy(), 'c... |
class IfStatementParams(Params):
'''
Mixin class containing parameters needed for IfStatementTransformer
transform layers.
'''
def setConditionOperator(self, value: str) -> 'IfStatementParams':
'''
Sets the conditionOperator parameter.
:param value: String value describing ... | 9 | 9 | 13 | 1 | 6 | 6 | 1 | 0.74 | 1 | 7 | 0 | 1 | 8 | 0 | 8 | 8 | 142 | 20 | 70 | 20 | 55 | 52 | 28 | 14 | 19 | 3 | 1 | 1 | 11 |
325,335 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/if_statement.py | kamae.spark.transformers.if_statement.IfStatementTransformer | from pyspark.sql import Column, DataFrame
from .base import BaseTransformer
from pyspark import keyword_only
from pyspark.sql.types import DataType
from kamae.spark.params import MultiInputSingleOutputParams, SingleInputSingleOutputParams
from kamae.utils import get_condition_operator
import tensorflow as tf
from typin... |
class IfStatementTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, IfStatementParams):
'''
IfStatement Spark Transformer for use in Spark pipelines.
This transformer computes an if statement between a set of constants
and columns.
'''
@keyword_only
de... | 9 | 7 | 34 | 2 | 19 | 12 | 2 | 0.65 | 4 | 7 | 1 | 0 | 6 | 0 | 6 | 68 | 220 | 19 | 122 | 40 | 96 | 79 | 44 | 21 | 37 | 7 | 6 | 3 | 14 |
325,336 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/impute.py | kamae.spark.transformers.impute.ImputeParams | from typing import List, Optional, Union
from pyspark.ml.param import Param, Params, TypeConverters
class ImputeParams(Params):
"""
Mixin class used to provide imputation and mask value needed for imputation.
"""
imputeValue = Param(Params._dummy(), 'imputeValue', 'Value to be imputed.', typeConverter=... |
class ImputeParams(Params):
'''
Mixin class used to provide imputation and mask value needed for imputation.
'''
def setImputeValue(self, value: Union[float, int, str]) -> 'ImputeParams':
'''
Sets the parameter imputeValue to the given scalar value.
:param value: List of im... | 5 | 5 | 8 | 1 | 3 | 5 | 1 | 0.81 | 1 | 4 | 0 | 1 | 4 | 0 | 4 | 4 | 56 | 9 | 26 | 7 | 21 | 21 | 13 | 7 | 8 | 2 | 1 | 1 | 5 |
325,337 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/impute.py | kamae.spark.transformers.impute.ImputeTransformer | from pyspark.sql import DataFrame
from pyspark.sql.types import DataType
from pyspark import keyword_only
from kamae.spark.utils import single_input_single_output_scalar_transform
import tensorflow as tf
from .base import BaseTransformer
import pyspark.sql.functions as F
from kamae.tensorflow.layers import ImputeLayer
... |
class ImputeTransformer(BaseTransformer, ImputeParams, SingleInputSingleOutputParams):
'''
Imputation transformer for use in Spark pipelines.
This is used to impute the mean or median value when
value is null or equalling a mask
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=N... | 7 | 5 | 19 | 1 | 9 | 9 | 1 | 1 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 61 | 89 | 9 | 40 | 20 | 24 | 40 | 14 | 9 | 9 | 1 | 6 | 0 | 4 |
325,338 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/lambda_function.py | kamae.spark.transformers.lambda_function.LambdaFunctionParams | from pyspark.ml.param import Param, Params, TypeConverters
from typing import Any, Callable, List, Optional, Union
import base64
from pyspark.sql.types import ArrayType, DataType, StructField, StructType
import dill
class LambdaFunctionParams(Params):
"""
Mixin class containing parameters needed for the Lambda... |
class LambdaFunctionParams(Params):
'''
Mixin class containing parameters needed for the LambdaFunctionTransformer.
'''
def setFunction(self, value: Callable[[Any], Any]) -> 'LambdaFunctionParams':
'''
Sets the lambda function to apply to the input column.
:param value: Lam... | 5 | 5 | 10 | 1 | 4 | 5 | 1 | 0.72 | 1 | 1 | 0 | 1 | 4 | 0 | 4 | 4 | 61 | 11 | 29 | 13 | 24 | 21 | 18 | 13 | 13 | 2 | 1 | 1 | 5 |
325,339 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/lambda_function.py | kamae.spark.transformers.lambda_function.LambdaFunctionTransformer | from .base import BaseTransformer
from kamae.tensorflow.layers import LambdaFunctionLayer
from typing import Any, Callable, List, Optional, Union
import tensorflow as tf
from pyspark.sql.types import ArrayType, DataType, StructField, StructType
from kamae.spark.params import MultiInputMultiOutputParams, MultiInputSingl... |
class LambdaFunctionTransformer(BaseTransformer, SingleInputSingleOutputParams, SingleInputMultiOutputParams, MultiInputSingleOutputParams, MultiInputMultiOutputParams, LambdaFunctionParams):
'''
Spark Transformer that applies tensorflow lambda functions to the input column(s).
The provided function must e... | 18 | 14 | 28 | 2 | 15 | 11 | 3 | 0.85 | 6 | 8 | 1 | 0 | 11 | 0 | 12 | 72 | 336 | 42 | 159 | 59 | 113 | 135 | 82 | 28 | 67 | 9 | 6 | 3 | 36 |
325,340 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_max.py | kamae.spark.transformers.list_max.ListMaxTransformer | from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongType, ShortType
from .base import BaseTransformer
from typing import List, Optional
import pyspark.sql.functions as F
from pyspark.sql import DataFrame
from kamae.tensorflow.layers import ListMaxLayer
from kamae.spark.params impor... |
class ListMaxTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ListwiseStatisticsParams, NanFillValueParams):
'''
Calculate the listwise maximum across the query id column.
- If inputCol is set, the transformer calculates the maximum of the input column
based on ... | 7 | 4 | 25 | 2 | 18 | 5 | 2 | 0.59 | 5 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 145 | 15 | 82 | 31 | 56 | 48 | 24 | 10 | 19 | 4 | 6 | 1 | 7 |
325,341 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_mean.py | kamae.spark.transformers.list_mean.ListMeanTransformer | from .base import BaseTransformer
import tensorflow as tf
from pyspark import keyword_only
from pyspark.sql import DataFrame
from typing import List, Optional
from pyspark.sql.types import DataType, DoubleType, FloatType
from kamae.spark.params import ListwiseStatisticsParams, MultiInputSingleOutputParams, NanFillValue... |
class ListMeanTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ListwiseStatisticsParams, NanFillValueParams):
'''
Calculate the listwise mean across the query id column.
- If inputCol is set, the transformer calculates the mean of the input column
based on all t... | 7 | 4 | 24 | 2 | 17 | 5 | 2 | 0.62 | 5 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 141 | 15 | 78 | 31 | 52 | 48 | 24 | 10 | 19 | 4 | 6 | 1 | 7 |
325,342 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_median.py | kamae.spark.transformers.list_median.ListMedianTransformer | from kamae.spark.params import ListwiseStatisticsParams, MultiInputSingleOutputParams, NanFillValueParams, SingleInputSingleOutputParams
from pyspark.sql import DataFrame
from pyspark.sql.types import DataType, DoubleType, FloatType
from typing import List, Optional
import tensorflow as tf
from .base import BaseTransfo... |
class ListMedianTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ListwiseStatisticsParams, NanFillValueParams):
'''
Calculate the listwise median across the query id column.
- If inputCol is set, the transformer calculates the median of the input column
based on... | 7 | 4 | 29 | 2 | 22 | 5 | 2 | 0.51 | 5 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 161 | 16 | 96 | 33 | 70 | 49 | 28 | 12 | 23 | 4 | 6 | 1 | 7 |
325,343 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_min.py | kamae.spark.transformers.list_min.ListMinTransformer | import tensorflow as tf
from pyspark import keyword_only
from pyspark.sql import DataFrame
from kamae.spark.utils import check_listwise_columns, get_listwise_condition_and_window
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongType, ShortType
from kamae.spark.params import List... |
class ListMinTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ListwiseStatisticsParams, NanFillValueParams):
'''
Calculate the listwise minimum across the query id column.
- If inputCol is set, the transformer calculates the minimum of the input column
based on ... | 7 | 4 | 25 | 2 | 18 | 5 | 2 | 0.59 | 5 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 145 | 15 | 82 | 31 | 56 | 48 | 24 | 10 | 19 | 4 | 6 | 1 | 7 |
325,344 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_rank.py | kamae.spark.transformers.list_rank.ListRankTransformer | from kamae.spark.params import ListwiseParams, SingleInputSingleOutputParams
from pyspark.sql import DataFrame, Window
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongType, ShortType
import tensorflow as tf
from kamae.spark.utils import check_listwise_columns
from typing import... |
class ListRankTransformer(BaseTransformer, SingleInputSingleOutputParams, ListwiseParams):
'''
Calculate the listwise rank across the query id column.
Example: calculate the rank of items within a query, given the score.
:param inputCol: Value column, on which to calculate the rank.
:param outputCo... | 7 | 4 | 20 | 2 | 13 | 5 | 2 | 0.56 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 105 | 13 | 59 | 27 | 39 | 33 | 25 | 12 | 20 | 4 | 6 | 1 | 7 |
325,345 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/list_std_dev.py | kamae.spark.transformers.list_std_dev.ListStdDevTransformer | from pyspark.sql.types import DataType, DoubleType, FloatType
from kamae.spark.params import ListwiseStatisticsParams, MultiInputSingleOutputParams, NanFillValueParams, SingleInputSingleOutputParams
import pyspark.sql.functions as F
from pyspark import keyword_only
from typing import List, Optional
import tensorflow as... |
class ListStdDevTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ListwiseStatisticsParams, NanFillValueParams):
'''
Calculate the listwise standard deviation across the query id column.
- If inputCol is set, the transformer calculates the stddev of the input column
... | 7 | 4 | 24 | 2 | 17 | 5 | 2 | 0.62 | 5 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 141 | 15 | 78 | 31 | 52 | 48 | 24 | 10 | 19 | 4 | 6 | 1 | 7 |
325,346 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/log.py | kamae.spark.transformers.log.LogParams | from pyspark.ml.param import Param, Params, TypeConverters
class LogParams(Params):
"""
Mixin class containing alpha parameter needed for log transform layers.
"""
alpha = Param(Params._dummy(), 'alpha', 'Value to use in log transform: log(alpha + x)', typeConverter=TypeConverters.toFloat)
def set... |
class LogParams(Params):
'''
Mixin class containing alpha parameter needed for log transform layers.
'''
def setAlpha(self, value: float) -> 'LogParams':
'''
Sets the alpha parameter.
:param value: Float value to use in log transform: log(alpha + x).
:returns: Insta... | 3 | 3 | 8 | 1 | 2 | 5 | 1 | 1.09 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 28 | 5 | 11 | 4 | 8 | 12 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
325,347 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/log.py | kamae.spark.transformers.log.LogTransformer | from kamae.tensorflow.layers import LogLayer
import tensorflow as tf
from pyspark import keyword_only
from pyspark.sql.types import DataType, DoubleType, FloatType
from pyspark.sql import DataFrame
from kamae.spark.params import SingleInputSingleOutputParams
from .base import BaseTransformer
import pyspark.sql.function... |
class LogTransformer(BaseTransformer, LogParams, SingleInputSingleOutputParams):
'''
Log Spark Transformer for use in Spark pipelines.
This transformer applies a log(alpha + x) transform to the input column.
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=None, outputCol: Optional[... | 7 | 5 | 17 | 1 | 8 | 8 | 1 | 0.85 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 59 | 83 | 9 | 40 | 23 | 21 | 34 | 15 | 9 | 10 | 1 | 6 | 0 | 4 |
325,348 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/logical_and.py | kamae.spark.transformers.logical_and.LogicalAndTransformer | from pyspark.sql import DataFrame
import tensorflow as tf
from functools import reduce
from .base import BaseTransformer
from pyspark.sql.types import BooleanType, DataType
from typing import List, Optional
import pyspark.sql.functions as F
from operator import and_
from kamae.tensorflow.layers import LogicalAndLayer
f... |
class LogicalAndTransformer(BaseTransformer, MultiInputSingleOutputParams):
'''
Logical And Spark Transformer for use in Spark pipelines.
This transformer performs an element-wise logical and operation on multiple columns.
'''
@keyword_only
def __init__(self, inputCols: Optional[List[str]]=None... | 8 | 6 | 15 | 1 | 7 | 7 | 1 | 0.88 | 2 | 4 | 1 | 0 | 5 | 0 | 5 | 58 | 91 | 10 | 43 | 23 | 25 | 38 | 19 | 11 | 13 | 2 | 6 | 1 | 6 |
325,349 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/logical_not.py | kamae.spark.transformers.logical_not.LogicalNotTransformer | from kamae.tensorflow.layers import LogicalNotLayer
from kamae.spark.params import SingleInputSingleOutputParams
from typing import List, Optional
from kamae.spark.utils import single_input_single_output_scalar_transform
from .base import BaseTransformer
import tensorflow as tf
from pyspark.sql import DataFrame
from py... |
class LogicalNotTransformer(BaseTransformer, SingleInputSingleOutputParams):
'''
Logical Not Spark Transformer for use in Spark pipelines.
This transformer performs a logical not operation on a single column.
'''
@keyword_only
def __init__(self, inputCol: Optional[str]=None, outputCol: Optional... | 7 | 5 | 15 | 1 | 7 | 7 | 1 | 0.91 | 2 | 3 | 1 | 0 | 4 | 0 | 4 | 57 | 75 | 8 | 35 | 20 | 18 | 32 | 13 | 8 | 8 | 1 | 6 | 0 | 4 |
325,350 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/logical_or.py | kamae.spark.transformers.logical_or.LogicalOrTransformer | import pyspark.sql.functions as F
from functools import reduce
from .base import BaseTransformer
from operator import or_
from pyspark.sql.types import BooleanType, DataType
from kamae.tensorflow.layers import LogicalOrLayer
import tensorflow as tf
from typing import List, Optional
from pyspark import keyword_only
from... |
class LogicalOrTransformer(BaseTransformer, MultiInputSingleOutputParams):
'''
Logical Or Spark Transformer for use in Spark pipelines.
This transformer performs an element-wise logical or operation on multiple columns.
'''
@keyword_only
def __init__(self, inputCols: Optional[List[str]]=None, o... | 8 | 6 | 15 | 1 | 7 | 7 | 1 | 0.88 | 2 | 4 | 1 | 0 | 5 | 0 | 5 | 58 | 91 | 10 | 43 | 23 | 25 | 38 | 19 | 11 | 13 | 2 | 6 | 1 | 6 |
325,351 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/max.py | kamae.spark.transformers.max.MaxTransformer | from typing import List, Optional
import tensorflow as tf
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongType, ShortType
from kamae.spark.utils import multi_input_single_output_scalar_transform
import pyspark.sql.functions as F
from pyspark import keyword_only
from pyspark.sql... |
class MaxTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
MaxLayer Spark Transformer for use in Spark pipelines.
This transformer gets the max of a column and a constant or another column.
'''
@keyword_only
def __init__(self... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.74 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 103 | 9 | 54 | 26 | 33 | 40 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,352 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/mean.py | kamae.spark.transformers.mean.MeanTransformer | from kamae.spark.params import MathFloatConstantParams, MultiInputSingleOutputParams, SingleInputSingleOutputParams
from functools import reduce
from typing import List, Optional
from operator import add
from kamae.tensorflow.layers import MeanLayer
from .base import BaseTransformer
from pyspark import keyword_only
fro... |
class MeanTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
Mean Spark Transformer for use in Spark pipelines.
This transformer gets the mean of a column and a constant or another column.
'''
@keyword_only
def __init__(self, ... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.71 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 105 | 9 | 56 | 26 | 35 | 40 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,353 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/min.py | kamae.spark.transformers.min.MinTransformer | import pyspark.sql.functions as F
import tensorflow as tf
from .base import BaseTransformer
from typing import List, Optional
from pyspark import keyword_only
from kamae.tensorflow.layers import MinLayer
from pyspark.sql import DataFrame
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerTy... |
class MinTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
MinLayer Spark Transformer for use in Spark pipelines.
This transformer gets the min of a column and a constant or another column.
'''
@keyword_only
def __init__(self... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.74 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 103 | 9 | 54 | 26 | 33 | 40 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,354 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/min_hash_index.py | kamae.spark.transformers.min_hash_index.MinHashIndexParams | from kamae.spark.params import MaskStringValueParams, SingleInputSingleOutputParams
from pyspark.ml.param import Param, Params, TypeConverters
class MinHashIndexParams(MaskStringValueParams):
"""
Mixin class containing bin parameter needed for the MinHashIndexTransformer.
"""
numPermutations = Param(Pa... |
class MinHashIndexParams(MaskStringValueParams):
'''
Mixin class containing bin parameter needed for the MinHashIndexTransformer.
'''
def setNumPermutations(self, value: int) -> 'MinHashIndexParams':
'''
Sets the numPermutations parameter.
:param value: Integer value for th... | 3 | 3 | 9 | 1 | 3 | 5 | 2 | 0.86 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 4 | 31 | 5 | 14 | 4 | 11 | 12 | 8 | 4 | 5 | 2 | 2 | 1 | 3 |
325,355 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/min_hash_index.py | kamae.spark.transformers.min_hash_index.MinHashIndexTransformer | import pyspark.sql.functions as F
from typing import List, Optional
from .base import BaseTransformer
from kamae.spark.params import MaskStringValueParams, SingleInputSingleOutputParams
from pyspark import keyword_only
import tensorflow as tf
from kamae.tensorflow.layers import MinHashIndexLayer
from pyspark.sql import... |
class MinHashIndexTransformer(BaseTransformer, MinHashIndexParams, SingleInputSingleOutputParams):
'''
MinHash indexer Spark Transformer for use in Spark pipelines.
This transformer hashes the input string set using the MinHash algorithm:
https://en.wikipedia.org/wiki/MinHash
MinHash approximates t... | 7 | 5 | 22 | 1 | 12 | 8 | 2 | 0.88 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 61 | 117 | 12 | 56 | 25 | 36 | 49 | 20 | 10 | 15 | 3 | 6 | 1 | 6 |
325,356 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/min_max_scale.py | kamae.spark.transformers.min_max_scale.MinMaxScaleParams | from kamae.spark.params import MaskValueParams, SingleInputSingleOutputParams
from typing import List, Optional
from pyspark.ml.param import Param, Params, TypeConverters
class MinMaxScaleParams(MaskValueParams):
"""
Mixin class containing minimum and maximum parameters needed
for min/max scaler transforme... |
class MinMaxScaleParams(MaskValueParams):
'''
Mixin class containing minimum and maximum parameters needed
for min/max scaler transformers.
'''
def setMin(self, value: List[float]) -> 'MinMaxScaleParams':
'''
Sets the parameter min to the given list value.
Saves the min as ... | 5 | 5 | 10 | 1 | 4 | 5 | 2 | 0.89 | 1 | 4 | 0 | 1 | 4 | 0 | 4 | 6 | 61 | 10 | 27 | 7 | 22 | 24 | 17 | 7 | 12 | 2 | 2 | 1 | 6 |
325,357 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/min_max_scale.py | kamae.spark.transformers.min_max_scale.MinMaxScaleTransformer | from .base import BaseTransformer
import tensorflow as tf
import numpy as np
from kamae.spark.utils import single_input_single_output_array_transform
from pyspark import keyword_only
from typing import List, Optional
from kamae.tensorflow.layers import MinMaxScaleLayer
from pyspark.sql import DataFrame
from pyspark.sql... |
class MinMaxScaleTransformer(BaseTransformer, MinMaxScaleParams, SingleInputSingleOutputParams):
'''
MinMax scale transformer for use in Spark pipelines.
This is used to standardize/transform the input column
to the range [0, 1] using the minimum and maximum values.
Formula: (x - min)/(max - min)
... | 7 | 5 | 25 | 2 | 14 | 8 | 2 | 0.64 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 63 | 119 | 14 | 64 | 31 | 43 | 41 | 26 | 15 | 21 | 4 | 6 | 1 | 7 |
325,358 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/modulo.py | kamae.spark.transformers.modulo.ModuloParams | from pyspark.ml.param import Param, Params, TypeConverters
class ModuloParams(Params):
"""
Mixin class for divisor used in modulo transform layers.
"""
divisor = Param(Params._dummy(), 'divisor', 'Integer divisor used in modulo transform', typeConverter=TypeConverters.toFloat)
def __init__(self) -... |
class ModuloParams(Params):
'''
Mixin class for divisor used in modulo transform layers.
'''
def __init__(self) -> None:
pass
def getDivisor(self) -> float:
'''
Gets the value of the divisor parameter.
:returns: Float divisor used in modulo transform.
'... | 4 | 3 | 6 | 1 | 2 | 3 | 1 | 0.86 | 1 | 2 | 0 | 1 | 3 | 0 | 3 | 3 | 32 | 6 | 14 | 5 | 10 | 12 | 9 | 5 | 5 | 1 | 1 | 0 | 3 |
325,359 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/modulo.py | kamae.spark.transformers.modulo.ModuloTransformer | import pyspark.sql.functions as F
from kamae.spark.utils import multi_input_single_output_scalar_transform
from typing import List, Optional
from .base import BaseTransformer
from pyspark.sql import DataFrame
from pyspark import keyword_only
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, Integ... |
class ModuloTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, ModuloParams):
'''
ModuloLayer Spark Transformer for use in Spark pipelines.
This transformer applies a modulo transform to the input column by dividing
by the divisor parameter or another column.
... | 8 | 6 | 21 | 1 | 11 | 9 | 1 | 0.75 | 4 | 5 | 1 | 0 | 5 | 0 | 5 | 62 | 123 | 11 | 64 | 27 | 42 | 48 | 20 | 11 | 14 | 2 | 6 | 1 | 6 |
325,360 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/multiply.py | kamae.spark.transformers.multiply.MultiplyTransformer | from pyspark.sql import DataFrame
import tensorflow as tf
from typing import List, Optional
from kamae.spark.params import MathFloatConstantParams, MultiInputSingleOutputParams, SingleInputSingleOutputParams
from kamae.tensorflow.layers import MultiplyLayer
from kamae.spark.utils import multi_input_single_output_scalar... |
class MultiplyTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
MultiplyLayer Spark Transformer for use in Spark pipelines.
This transformer multiplies a column by a constant or another column.
'''
@keyword_only
def __init__(... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.72 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 102 | 9 | 54 | 26 | 33 | 39 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,361 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/numerical_if_statement.py | kamae.spark.transformers.numerical_if_statement.NumericalIfStatementParams | from pyspark.ml.param import Param, Params, TypeConverters
class NumericalIfStatementParams(Params):
"""
Mixin class containing parameters needed for NumericalIfStatementTransformer
transform layers.
"""
conditionOperator = Param(Params._dummy(), 'conditionOperator', 'Operator to use in condition: ... |
class NumericalIfStatementParams(Params):
'''
Mixin class containing parameters needed for NumericalIfStatementTransformer
transform layers.
'''
def setConditionOperator(self, value: str) -> 'NumericalIfStatementParams':
'''
Sets the conditionOperator parameter.
:param valu... | 9 | 9 | 10 | 1 | 3 | 6 | 1 | 1.13 | 1 | 3 | 0 | 1 | 8 | 0 | 8 | 8 | 118 | 20 | 46 | 14 | 37 | 52 | 24 | 14 | 15 | 2 | 1 | 1 | 9 |
325,362 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/numerical_if_statement.py | kamae.spark.transformers.numerical_if_statement.NumericalIfStatementTransformer | from .base import BaseTransformer
from kamae.spark.utils import multi_input_single_output_scalar_transform
from kamae.spark.params import MultiInputSingleOutputParams, SingleInputSingleOutputParams
import tensorflow as tf
from pyspark import keyword_only
from typing import List, Optional
from kamae.tensorflow.layers im... |
class NumericalIfStatementTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, NumericalIfStatementParams):
'''
NumericalIfStatement Spark Transformer for use in Spark pipelines.
This transformer computes an if statement between a set of numerical constants
and colu... | 9 | 7 | 34 | 2 | 19 | 12 | 2 | 0.65 | 4 | 5 | 1 | 0 | 6 | 0 | 6 | 68 | 220 | 19 | 122 | 40 | 96 | 79 | 44 | 21 | 37 | 7 | 6 | 3 | 14 |
325,363 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/one_hot_encode.py | kamae.spark.transformers.one_hot_encode.OneHotEncodeTransformer | import pyspark.sql.functions as F
from kamae.spark.params import DropUnseenParams, SingleInputSingleOutputParams, StringIndexParams
from typing import List, Optional
from pyspark.sql import DataFrame
from pyspark import keyword_only
from kamae.spark.utils import one_hot_encoding_udf, single_input_single_output_scalar_u... |
class OneHotEncodeTransformer(BaseTransformer, DropUnseenParams, StringIndexParams, SingleInputSingleOutputParams):
'''
OneHotEncodeTransformer Spark Transformer for use in Spark pipelines.
This transformer is used to one-hot feature columns using the string labels
collected by the OneHotEncodeEstimato... | 7 | 5 | 27 | 2 | 15 | 10 | 1 | 0.76 | 4 | 5 | 1 | 0 | 4 | 0 | 4 | 69 | 128 | 12 | 66 | 31 | 42 | 50 | 18 | 12 | 13 | 1 | 6 | 0 | 4 |
325,364 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/ordinal_array_encode.py | kamae.spark.transformers.ordinal_array_encode.OrdinalArrayEncodeTransformer | from kamae.spark.utils import ordinal_array_encode_udf, single_input_single_output_array_udf_transform
from pyspark import keyword_only
from kamae.spark.params import PadValueParams, SingleInputSingleOutputParams
import pyspark.sql.functions as F
from typing import List, Optional
from .base import BaseTransformer
impor... |
class OrdinalArrayEncodeTransformer(BaseTransformer, SingleInputSingleOutputParams, PadValueParams):
'''
Transformer that encodes an array of strings into an array of integers.
The transformer will map each unique string in the array to an integer,
according to the order in which they appear in the arr... | 7 | 5 | 24 | 1 | 11 | 12 | 1 | 1.02 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 59 | 112 | 9 | 51 | 22 | 32 | 52 | 16 | 8 | 11 | 2 | 6 | 1 | 5 |
325,365 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/round.py | kamae.spark.transformers.round.RoundParams | from pyspark.ml.param import Param, Params, TypeConverters
class RoundParams(Params):
"""
Mixin class containing roundType parameter needed for rounding transform layers.
"""
roundType = Param(Params._dummy(), 'roundType', "Round type to use in round transform, one of 'floor', 'ceil' or 'round'.", type... |
class RoundParams(Params):
'''
Mixin class containing roundType parameter needed for rounding transform layers.
'''
def setRoundType(self, value: str) -> 'RoundParams':
'''
Sets the roundType parameter.
:param value: Rounding type to use in round transform,
one of '... | 3 | 3 | 10 | 1 | 3 | 6 | 2 | 1.08 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 2 | 32 | 5 | 13 | 4 | 10 | 14 | 8 | 4 | 5 | 2 | 1 | 1 | 3 |
325,366 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/round.py | kamae.spark.transformers.round.RoundTransformer | from kamae.tensorflow.layers import RoundLayer
from .base import BaseTransformer
from pyspark.sql.types import DataType, DoubleType, FloatType
from pyspark.sql import DataFrame
import tensorflow as tf
import pyspark.sql.functions as F
from pyspark import keyword_only
from kamae.spark.params import SingleInputSingleOutp... |
class RoundTransformer(BaseTransformer, SingleInputSingleOutputParams, RoundParams):
'''
Round Spark Transformer for use in Spark pipelines.
This transformer rounds the input column to the nearest integer using the
specified rounding type.
'''
@keyword_only
def __init__(self, inputCol: Opti... | 7 | 5 | 18 | 1 | 9 | 8 | 1 | 0.8 | 3 | 3 | 1 | 0 | 4 | 0 | 4 | 59 | 88 | 9 | 44 | 23 | 25 | 35 | 15 | 9 | 10 | 1 | 6 | 0 | 4 |
325,367 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/round_to_decimal.py | kamae.spark.transformers.round_to_decimal.RoundToDecimalParams | from pyspark.ml.param import Param, Params, TypeConverters
class RoundToDecimalParams(Params):
"""
Mixin class containing decimals parameter needed for rounding transform layers.
"""
decimals = Param(Params._dummy(), 'decimals', 'Number of decimals to round to', typeConverter=TypeConverters.toInt)
... |
class RoundToDecimalParams(Params):
'''
Mixin class containing decimals parameter needed for rounding transform layers.
'''
def setDecimals(self, value: int) -> 'RoundToDecimalParams':
'''
Sets the decimals parameter.
:param value: Number of decimals to round to.
:r... | 3 | 3 | 9 | 1 | 3 | 5 | 2 | 0.92 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 2 | 30 | 5 | 13 | 4 | 10 | 12 | 8 | 4 | 5 | 2 | 1 | 1 | 3 |
325,368 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/round_to_decimal.py | kamae.spark.transformers.round_to_decimal.RoundToDecimalTransformer | from pyspark import keyword_only
from pyspark.sql import DataFrame
from kamae.tensorflow.layers import RoundToDecimalLayer
from pyspark.sql.types import DataType, DoubleType, FloatType, IntegerType, LongType
import tensorflow as tf
from kamae.spark.params import SingleInputSingleOutputParams
from kamae.spark.utils impo... |
class RoundToDecimalTransformer(BaseTransformer, SingleInputSingleOutputParams, RoundToDecimalParams):
'''
Round Spark Transformer for use in Spark pipelines.
This transformer rounds the input column to the nearest decimal using the
specified number of decimals.
'''
@keyword_only
def __init... | 7 | 5 | 16 | 1 | 8 | 7 | 1 | 0.89 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 59 | 81 | 9 | 38 | 22 | 19 | 34 | 13 | 8 | 8 | 1 | 6 | 0 | 4 |
325,369 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/shared_one_hot_encode.py | kamae.spark.transformers.shared_one_hot_encode.SharedOneHotEncodeTransformer | from kamae.tensorflow.layers import OneHotEncodeLayer
from pyspark.sql.types import ArrayType, DataType, FloatType, IntegerType, LongType, ShortType, StringType
from .base import BaseTransformer
import pyspark.sql.functions as F
from kamae.spark.params import DropUnseenParams, MultiInputMultiOutputParams, StringIndexPa... |
class SharedOneHotEncodeTransformer(BaseTransformer, MultiInputMultiOutputParams, StringIndexParams, DropUnseenParams):
'''
SharedOneHotEncodeTransformer Spark Transformer for use in Spark pipelines.
This transformer is used to one-hot encode multiple input columns using the
string labels collected by ... | 7 | 5 | 28 | 2 | 16 | 10 | 1 | 0.68 | 4 | 6 | 1 | 0 | 4 | 0 | 4 | 69 | 133 | 14 | 71 | 34 | 47 | 48 | 22 | 15 | 17 | 2 | 6 | 1 | 5 |
325,370 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/shared_string_index.py | kamae.spark.transformers.shared_string_index.SharedStringIndexTransformer | from kamae.spark.params import MultiInputMultiOutputParams, StringIndexParams
from .base import BaseTransformer
from typing import List, Optional
import pyspark.sql.functions as F
from pyspark import keyword_only
from pyspark.sql import DataFrame
from pyspark.sql.types import DataType, IntegerType, StringType
import te... |
class SharedStringIndexTransformer(BaseTransformer, StringIndexParams, MultiInputMultiOutputParams):
'''
SharedStringIndexTransformer Spark Transformer for use in Spark pipelines.
This transformer is used to index/transform feature columns using the string labels
collected by the SharedStringIndexEstim... | 7 | 5 | 26 | 2 | 14 | 10 | 1 | 0.75 | 3 | 5 | 1 | 0 | 4 | 0 | 4 | 67 | 124 | 14 | 63 | 31 | 41 | 47 | 21 | 14 | 16 | 2 | 6 | 1 | 5 |
325,371 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/standard_scale.py | kamae.spark.transformers.standard_scale.StandardScaleTransformer | from kamae.tensorflow.layers import StandardScaleLayer
from kamae.spark.params import SingleInputSingleOutputParams, StandardScaleParams
from pyspark.sql.types import ArrayType, DataType, DoubleType, FloatType
import tensorflow as tf
from .base import BaseTransformer
from kamae.spark.utils import single_input_single_ou... |
class StandardScaleTransformer(BaseTransformer, StandardScaleParams, SingleInputSingleOutputParams):
'''
Standard scaler transformer for use in Spark pipelines.
This is used to standardize/transform the input column
using the mean and standard deviation.
WARNING: If the input is an array, we assume... | 7 | 5 | 24 | 2 | 13 | 9 | 2 | 0.75 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 63 | 116 | 13 | 59 | 31 | 38 | 44 | 26 | 15 | 21 | 4 | 6 | 1 | 7 |
325,372 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_affix.py | kamae.spark.transformers.string_affix.StringAffixParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringAffixParams(Params):
"""
Mixin class containing parameters needed for string affixing.
transforms.
"""
prefix = Param(Params._dummy(), 'prefix', 'Value to use as a prefix when joining the strings.', typeConverter=TypeConverters.... |
class StringAffixParams(Params):
'''
Mixin class containing parameters needed for string affixing.
transforms.
'''
def setPrefix(self, value: str) -> 'StringAffixParams':
'''
Sets the prefix parameter.
:param value: String value to use as a prefix when joining the strings.
... | 5 | 5 | 8 | 1 | 2 | 5 | 1 | 1.05 | 1 | 1 | 0 | 1 | 4 | 0 | 4 | 4 | 52 | 9 | 21 | 7 | 16 | 22 | 11 | 7 | 6 | 1 | 1 | 0 | 4 |
325,373 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_affix.py | kamae.spark.transformers.string_affix.StringAffixTransformer | import pyspark.sql.functions as F
from pyspark.sql import Column, DataFrame
from kamae.spark.params import SingleInputSingleOutputParams
from typing import List, Optional
import tensorflow as tf
from pyspark.sql.types import DataType, StringType
from pyspark import keyword_only
from kamae.tensorflow.layers import Strin... |
class StringAffixTransformer(BaseTransformer, SingleInputSingleOutputParams, StringAffixParams):
'''
String Affix Spark Transformer for use in Spark pipelines.
This transformer takes in a column and pre- and su- fixes it.
Input columns must be of type string.
'''
@keyword_only
def __init__(... | 9 | 6 | 16 | 1 | 10 | 5 | 2 | 0.65 | 3 | 4 | 1 | 0 | 5 | 0 | 5 | 62 | 106 | 12 | 57 | 29 | 33 | 37 | 26 | 12 | 19 | 3 | 6 | 1 | 9 |
325,374 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_array_constant.py | kamae.spark.transformers.string_array_constant.StringArrayConstantTransformer | from pyspark import keyword_only
from kamae.tensorflow.layers import StringArrayConstantLayer
from .base import BaseTransformer
import pyspark.sql.functions as F
import tensorflow as tf
from kamae.spark.params import ConstantStringArrayParams, SingleInputSingleOutputParams
from typing import List, Optional
from pyspark... |
class StringArrayConstantTransformer(BaseTransformer, SingleInputSingleOutputParams, ConstantStringArrayParams):
'''
String Array Constant Spark Transformer for use in Spark pipelines.
This transformer populates a column with a constant string array.
'''
@keyword_only
def __init__(self, inputCo... | 7 | 5 | 16 | 1 | 8 | 7 | 1 | 0.87 | 3 | 3 | 1 | 0 | 4 | 0 | 4 | 59 | 79 | 8 | 38 | 22 | 19 | 33 | 13 | 8 | 8 | 1 | 6 | 0 | 4 |
325,375 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_case.py | kamae.spark.transformers.string_case.StringCaseParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringCaseParams(Params):
"""
Mixin class containing stringCaseType parameter needed for string casing transforms.
"""
stringCaseType = Param(Params._dummy(), 'stringCaseType', 'How to change the case of the string.', typeConverter=TypeCo... |
class StringCaseParams(Params):
'''
Mixin class containing stringCaseType parameter needed for string casing transforms.
'''
def setStringCaseType(self, value: str) -> 'StringCaseParams':
'''
Sets the stringCaseType parameter to the given value.
Must be one of:
- 'u... | 3 | 3 | 13 | 1 | 6 | 6 | 2 | 0.79 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 2 | 39 | 5 | 19 | 5 | 16 | 15 | 9 | 5 | 6 | 2 | 1 | 1 | 3 |
325,376 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_case.py | kamae.spark.transformers.string_case.StringCaseTransformer | from kamae.tensorflow.layers import StringCaseLayer
from kamae.spark.utils import single_input_single_output_scalar_transform
import tensorflow as tf
from typing import List, Optional
from pyspark.sql.types import DataType, StringType
from pyspark import keyword_only
from pyspark.sql import Column, DataFrame
from kamae... |
class StringCaseTransformer(BaseTransformer, SingleInputSingleOutputParams, StringCaseParams):
'''
StringCaseLayer Spark Transformer for use in Spark pipelines.
This transformer applies an upper, lower or capitalise operation
on the input column.
'''
@keyword_only
def __init__(self, inputCo... | 8 | 5 | 18 | 1 | 11 | 6 | 1 | 0.74 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 59 | 98 | 11 | 50 | 24 | 30 | 37 | 20 | 10 | 14 | 3 | 6 | 1 | 7 |
325,377 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_concatenate.py | kamae.spark.transformers.string_concatenate.StringConcatenateParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringConcatenateParams(Params):
"""
Mixin class containing separator parameter needed for string concatenation
transforms.
"""
separator = Param(Params._dummy(), 'separator', 'Value to use as a separator when joining the strings.', t... |
class StringConcatenateParams(Params):
'''
Mixin class containing separator parameter needed for string concatenation
transforms.
'''
def setSeparator(self, value: str) -> 'StringConcatenateParams':
'''
Sets the separator parameter.
:param value: String value to use as a se... | 3 | 3 | 8 | 1 | 2 | 5 | 1 | 1.18 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 29 | 5 | 11 | 4 | 8 | 13 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
325,378 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_concatenate.py | kamae.spark.transformers.string_concatenate.StringConcatenateTransformer | import tensorflow as tf
from kamae.spark.params import MultiInputSingleOutputParams
from pyspark.sql import DataFrame
from pyspark.sql.types import DataType, StringType
from kamae.tensorflow.layers import StringConcatenateLayer
from typing import List, Optional
from kamae.spark.utils import multi_input_single_output_sc... |
class StringConcatenateTransformer(BaseTransformer, MultiInputSingleOutputParams, StringConcatenateParams):
'''
String Concatenate Spark Transformer for use in Spark pipelines.
This transformer takes in multiple columns and concatenates them together into a
single column using a separator. Input column... | 7 | 5 | 19 | 2 | 10 | 7 | 1 | 0.74 | 3 | 3 | 1 | 0 | 4 | 0 | 4 | 59 | 90 | 10 | 46 | 25 | 27 | 34 | 17 | 11 | 12 | 1 | 6 | 0 | 4 |
325,379 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_contains.py | kamae.spark.transformers.string_contains.StringContainsTransformer | import pyspark.sql.functions as F
from typing import List, Optional
from pyspark import keyword_only
from kamae.spark.utils import multi_input_single_output_scalar_transform
from kamae.tensorflow.layers import StringContainsLayer
import tensorflow as tf
from kamae.spark.params import MultiInputSingleOutputParams, Negat... |
class StringContainsTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, NegationParams, StringConstantParams):
'''
String contains Spark Transformer for use in Spark pipelines.
This transformer performs a string contains operation on the input column.
If the string... | 9 | 6 | 19 | 1 | 10 | 7 | 1 | 0.78 | 5 | 5 | 1 | 0 | 5 | 0 | 5 | 63 | 127 | 13 | 64 | 33 | 37 | 50 | 23 | 13 | 16 | 2 | 6 | 1 | 8 |
325,380 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_contains_list.py | kamae.spark.transformers.string_contains_list.StringContainsListTransformer | from kamae.tensorflow.layers import StringContainsListLayer
from typing import List, Optional
from kamae.spark.utils import single_input_single_output_scalar_transform
import tensorflow as tf
import pyspark.sql.functions as F
from pyspark.sql import Column, DataFrame
from pyspark.sql.types import DataType, StringType
f... |
class StringContainsListTransformer(BaseTransformer, SingleInputSingleOutputParams, NegationParams, ConstantStringArrayParams):
'''
String contains list Spark Transformer for use in Spark pipelines.
This transformer performs a string contains operation on the input column over all
constants in the pass... | 8 | 5 | 20 | 2 | 12 | 6 | 2 | 0.62 | 4 | 5 | 1 | 0 | 4 | 0 | 4 | 61 | 107 | 13 | 58 | 29 | 34 | 36 | 22 | 11 | 16 | 2 | 6 | 1 | 8 |
325,381 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_equals_if_statement.py | kamae.spark.transformers.string_equals_if_statement.StringEqualsIfStatementParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringEqualsIfStatementParams(Params):
"""
Mixin class containing parameters needed for StringEqualsIfStatementTransformer
transform layers.
"""
valueToCompare = Param(Params._dummy(), 'valueToCompare', 'Float value to compare to inpu... |
class StringEqualsIfStatementParams(Params):
'''
Mixin class containing parameters needed for StringEqualsIfStatementTransformer
transform layers.
'''
def setResultIfTrue(self, value: str) -> 'StringEqualsIfStatementParams':
'''
Sets the resultIfTrue parameter.
:param value... | 7 | 7 | 8 | 1 | 2 | 5 | 1 | 1 | 1 | 1 | 0 | 1 | 6 | 0 | 6 | 6 | 77 | 15 | 31 | 10 | 24 | 31 | 16 | 10 | 9 | 1 | 1 | 0 | 6 |
325,382 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_equals_if_statement.py | kamae.spark.transformers.string_equals_if_statement.StringEqualsIfStatementTransformer | from pyspark.sql import Column, DataFrame
from kamae.tensorflow.layers import StringEqualsIfStatementLayer
from kamae.spark.params import MultiInputSingleOutputParams, SingleInputSingleOutputParams
from typing import List, Optional
from .base import BaseTransformer
import tensorflow as tf
from pyspark.sql.types import ... |
class StringEqualsIfStatementTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, StringEqualsIfStatementParams):
'''
StringEqualIfStatement Spark Transformer for use in Spark pipelines.
This transformer computes an if equal statement between a set of constants
and ... | 9 | 7 | 32 | 2 | 18 | 12 | 2 | 0.66 | 4 | 4 | 1 | 0 | 6 | 0 | 6 | 66 | 211 | 18 | 116 | 38 | 91 | 77 | 41 | 20 | 34 | 7 | 6 | 3 | 13 |
325,383 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_index.py | kamae.spark.transformers.string_index.StringIndexTransformer | from .base import BaseTransformer
import tensorflow as tf
from typing import List, Optional
from pyspark.sql import DataFrame
import pyspark.sql.functions as F
from pyspark import keyword_only
from kamae.spark.params import SingleInputSingleOutputParams, StringIndexParams
from pyspark.sql.types import DataType, Integer... |
class StringIndexTransformer(BaseTransformer, StringIndexParams, SingleInputSingleOutputParams):
'''
StringIndexTransformer Spark Transformer for use in Spark pipelines.
This transformer is used to index/transform feature columns using the string labels
collected by the StringIndexEstimator.
NOTE: ... | 7 | 5 | 24 | 2 | 13 | 9 | 1 | 0.78 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 67 | 115 | 12 | 58 | 28 | 36 | 45 | 17 | 11 | 12 | 1 | 6 | 0 | 4 |
325,384 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_isin_list.py | kamae.spark.transformers.string_isin_list.StringIsInListTransformer | from typing import List, Optional
from pyspark.sql.types import DataType, StringType
from kamae.tensorflow.layers import StringIsInListLayer
from .base import BaseTransformer
from pyspark import keyword_only
import pyspark.sql.functions as F
from kamae.spark.utils import single_input_single_output_scalar_transform
impo... |
class StringIsInListTransformer(BaseTransformer, SingleInputSingleOutputParams, NegationParams, ConstantStringArrayParams):
'''
String is in list Spark Transformer for use in Spark pipelines.
This transformer performs a string equality operation on the input column over all
constants in the passed cons... | 8 | 5 | 18 | 2 | 10 | 6 | 2 | 0.65 | 4 | 5 | 1 | 0 | 4 | 0 | 4 | 61 | 104 | 13 | 55 | 28 | 31 | 36 | 21 | 10 | 15 | 2 | 6 | 1 | 8 |
325,385 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_list_to_string.py | kamae.spark.transformers.string_list_to_string.StringListToStringParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringListToStringParams(Params):
"""
Mixin class containing separator parameter needed for
string list to string transforms.
"""
separator = Param(Params._dummy(), 'separator', 'Separator to use when joining the string list.', typeCo... |
class StringListToStringParams(Params):
'''
Mixin class containing separator parameter needed for
string list to string transforms.
'''
def getSeparator(self) -> str:
'''
Gets the separator to use when joining the string list.
:returns: Separator to use when joining the str... | 3 | 3 | 8 | 1 | 2 | 5 | 1 | 1.18 | 1 | 1 | 0 | 1 | 2 | 0 | 2 | 2 | 29 | 5 | 11 | 4 | 8 | 13 | 6 | 4 | 3 | 1 | 1 | 0 | 2 |
325,386 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_list_to_string.py | kamae.spark.transformers.string_list_to_string.StringListToStringTransformer | from typing import List, Optional
from pyspark import keyword_only
from pyspark.sql import DataFrame
from kamae.spark.params import SingleInputSingleOutputParams
import tensorflow as tf
from kamae.spark.utils import single_input_single_output_array_transform
from kamae.tensorflow.layers import StringListToStringLayer
f... |
class StringListToStringTransformer(BaseTransformer, SingleInputSingleOutputParams, StringListToStringParams):
'''
StringListToStringLayer Spark Transformer for use in Spark pipelines.
This transformer takes a column of string lists and joins them into a single string.
'''
@keyword_only
def __i... | 7 | 5 | 19 | 1 | 10 | 8 | 1 | 0.72 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 59 | 90 | 9 | 47 | 23 | 28 | 34 | 17 | 9 | 12 | 2 | 6 | 1 | 5 |
325,387 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_map.py | kamae.spark.transformers.string_map.StringMapTransformer | from kamae.tensorflow.layers import StringMapLayer
import tensorflow as tf
from .base import BaseTransformer
from pyspark.sql import Column, DataFrame
from typing import List, Optional
from kamae.spark.utils import single_input_single_output_scalar_transform
from pyspark.sql.types import DataType, StringType
from pyspa... |
class StringMapTransformer(BaseTransformer, SingleInputSingleOutputParams, StringMapTransformerParams):
'''
String Map Spark Transformer for use in Spark Pipelines.
This transformer replaces a list of strings with the respective mapping value.
'''
@keyword_only
def __init__(self, inputCol: Opti... | 8 | 6 | 21 | 1 | 12 | 7 | 2 | 0.59 | 3 | 5 | 1 | 0 | 5 | 0 | 5 | 64 | 120 | 10 | 69 | 27 | 47 | 41 | 28 | 11 | 22 | 4 | 6 | 2 | 10 |
325,388 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_map.py | kamae.spark.transformers.string_map.StringMapTransformerParams | from typing import List, Optional
from pyspark.ml.param import Param, Params, TypeConverters
class StringMapTransformerParams(Params):
"""
Mixin class containing StringMatchValues and StringReplaceValues
needed for string map layers.
"""
stringMatchValues = Param(Params._dummy(), 'stringMatchValues... |
class StringMapTransformerParams(Params):
'''
Mixin class containing StringMatchValues and StringReplaceValues
needed for string map layers.
'''
def setStringMatchValues(self, value: List[str]) -> 'StringMapTransformerParams':
'''
Sets the stringMatchValues parameter.
:para... | 7 | 7 | 8 | 1 | 3 | 5 | 1 | 0.84 | 1 | 2 | 0 | 1 | 6 | 0 | 6 | 6 | 85 | 15 | 38 | 10 | 31 | 32 | 20 | 10 | 13 | 2 | 1 | 1 | 8 |
325,389 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_replace.py | kamae.spark.transformers.string_replace.StringReplaceParams | from kamae.spark.params import MultiInputSingleOutputParams, SingleInputSingleOutputParams, StringRegexParams
from pyspark.ml.param import Param, Params, TypeConverters
class StringReplaceParams(StringRegexParams):
"""
Mixin class containing StringMatchConstant, StringReplaceConstant needed for string
repl... |
class StringReplaceParams(StringRegexParams):
'''
Mixin class containing StringMatchConstant, StringReplaceConstant needed for string
replace layers.
'''
def setStringMatchConstant(self, value: str) -> 'StringReplaceParams':
'''
Sets the stringConstant parameter.
:param val... | 5 | 5 | 7 | 1 | 2 | 4 | 1 | 0.95 | 1 | 1 | 0 | 1 | 4 | 0 | 4 | 6 | 50 | 9 | 21 | 7 | 16 | 20 | 11 | 7 | 6 | 1 | 2 | 0 | 4 |
325,390 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_replace.py | kamae.spark.transformers.string_replace.StringReplaceTransformer | from pyspark.sql import Column, DataFrame
import tensorflow as tf
from kamae.tensorflow.layers import StringReplaceLayer
from kamae.spark.utils import multi_input_single_output_scalar_transform
from typing import List, Optional
from .base import BaseTransformer
from pyspark.sql.types import DataType, StringType
import ... |
class StringReplaceTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, StringReplaceParams):
'''
String replace Spark Transformer for use in Spark Pipelines.
This transformer performs a string replace operation on the input column.
The transformer takes up to 3 inp... | 10 | 7 | 26 | 2 | 18 | 7 | 2 | 0.5 | 4 | 5 | 1 | 0 | 6 | 0 | 6 | 66 | 190 | 20 | 113 | 36 | 85 | 57 | 37 | 16 | 29 | 7 | 6 | 1 | 15 |
325,391 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_to_string_list.py | kamae.spark.transformers.string_to_string_list.StringToStringListParams | from pyspark.ml.param import Param, Params, TypeConverters
class StringToStringListParams(Params):
"""
Mixin class containing separator parameter needed for
string to string list transforms.
"""
separator = Param(Params._dummy(), 'separator', 'Separator to use when joining the string list.', typeCo... |
class StringToStringListParams(Params):
'''
Mixin class containing separator parameter needed for
string to string list transforms.
'''
def getSeparator(self) -> str:
'''
Gets the separator to use when joining the string list.
:returns: Separator to use when joining the str... | 7 | 7 | 8 | 1 | 2 | 5 | 1 | 0.94 | 1 | 3 | 0 | 1 | 6 | 0 | 6 | 6 | 79 | 15 | 33 | 10 | 26 | 31 | 18 | 10 | 11 | 2 | 1 | 1 | 7 |
325,392 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/string_to_string_list.py | kamae.spark.transformers.string_to_string_list.StringToStringListTransformer | from typing import List, Optional
import re
from kamae.tensorflow.layers import StringToStringListLayer
import tensorflow as tf
from pyspark.sql.types import DataType, StringType
from pyspark import keyword_only
from .base import BaseTransformer
import pyspark.sql.functions as F
from kamae.spark.utils import single_inp... |
class StringToStringListTransformer(BaseTransformer, SingleInputSingleOutputParams, StringToStringListParams):
'''
StringToStringListLayer Spark Transformer for use in Spark pipelines.
This transformer takes a column of string lists and joins them into a single string.
'''
@keyword_only
def __i... | 8 | 5 | 22 | 1 | 13 | 7 | 1 | 0.65 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 63 | 110 | 11 | 60 | 29 | 38 | 39 | 22 | 13 | 16 | 1 | 6 | 0 | 5 |
325,393 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/sub_string_delim_at_index.py | kamae.spark.transformers.sub_string_delim_at_index.SubStringDelimAtIndexParams | from pyspark.ml.param import Param, Params, TypeConverters
class SubStringDelimAtIndexParams(Params):
"""
Mixin class containing delimiter & index parameter needed for sub string transforms.
"""
delimiter = Param(Params._dummy(), 'delimiter', 'Value to use to split the string into substrings.', typeCon... |
class SubStringDelimAtIndexParams(Params):
'''
Mixin class containing delimiter & index parameter needed for sub string transforms.
'''
def setDelimiter(self, value: str) -> 'SubStringDelimAtIndexParams':
'''
Sets the delimiter parameter.
:param value: String value to split... | 7 | 7 | 8 | 1 | 2 | 5 | 1 | 0.97 | 1 | 2 | 0 | 1 | 6 | 0 | 6 | 6 | 76 | 15 | 31 | 10 | 24 | 30 | 16 | 10 | 9 | 1 | 1 | 0 | 6 |
325,394 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/sub_string_delim_at_index.py | kamae.spark.transformers.sub_string_delim_at_index.SubStringDelimAtIndexTransformer | from kamae.tensorflow.layers import SubStringDelimAtIndexLayer
from pyspark.sql import DataFrame
from kamae.spark.params import SingleInputSingleOutputParams
import re
from pyspark import keyword_only
from typing import List, Optional
from kamae.spark.utils import single_input_single_output_scalar_transform
from .base ... |
class SubStringDelimAtIndexTransformer(BaseTransformer, SingleInputSingleOutputParams, SubStringDelimAtIndexParams):
'''
Sub string at delimiter Spark Transformer for use in Spark pipelines.
This transformer splits a string at a delimiter and returns the substring
at the specified index. If the delimit... | 7 | 5 | 22 | 1 | 11 | 10 | 1 | 0.9 | 3 | 4 | 1 | 0 | 4 | 0 | 4 | 63 | 108 | 9 | 52 | 28 | 31 | 47 | 20 | 12 | 15 | 2 | 6 | 0 | 5 |
325,395 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/subtract.py | kamae.spark.transformers.subtract.SubtractTransformer | from kamae.spark.params import MathFloatConstantParams, MultiInputSingleOutputParams, SingleInputSingleOutputParams
from .base import BaseTransformer
from pyspark.sql import DataFrame
import tensorflow as tf
from kamae.tensorflow.layers import SubtractLayer
from kamae.spark.utils import multi_input_single_output_scalar... |
class SubtractTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
SubtractLayer Spark Transformer for use in Spark pipelines.
This transformer subtracts a column by a constant or another column.
'''
@keyword_only
def __init__(s... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.72 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 102 | 9 | 54 | 26 | 33 | 39 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,396 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/sum.py | kamae.spark.transformers.sum.SumTransformer | from operator import add
from functools import reduce
from pyspark.sql.types import ByteType, DataType, DoubleType, FloatType, IntegerType, LongType, ShortType
from .base import BaseTransformer
from kamae.tensorflow.layers import SumLayer
from kamae.spark.utils import multi_input_single_output_scalar_transform
import t... |
class SumTransformer(BaseTransformer, SingleInputSingleOutputParams, MultiInputSingleOutputParams, MathFloatConstantParams):
'''
SumLayer Spark Transformer for use in Spark pipelines.
This transformer sums a column with a constant or another column.
'''
@keyword_only
def __init__(self, inputCol... | 7 | 5 | 22 | 1 | 12 | 9 | 1 | 0.72 | 4 | 4 | 1 | 0 | 4 | 0 | 4 | 61 | 102 | 9 | 54 | 26 | 33 | 39 | 16 | 10 | 11 | 1 | 6 | 0 | 4 |
325,397 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/spark/transformers/unix_timestamp_to_date_time.py | kamae.spark.transformers.unix_timestamp_to_date_time.UnixTimestampToDateTimeTransformer | from kamae.tensorflow.layers import UnixTimestampToDateTimeLayer
from typing import List, Optional
import pyspark.sql.functions as F
from kamae.spark.transformers.base import BaseTransformer
from pyspark.sql import Column, DataFrame, SparkSession
import tensorflow as tf
from pyspark.sql.types import DataType, DoubleTyp... |
class UnixTimestampToDateTimeTransformer(BaseTransformer, SingleInputSingleOutputParams, UnixTimestampParams, DateTimeParams):
'''
Transformer that converts a unix timestamp to a datetime.
The unix timestamp can be in milliseconds or seconds, set by the `unit` parameter.
If the `includeTime` parameter ... | 8 | 6 | 30 | 2 | 17 | 11 | 1 | 0.78 | 4 | 4 | 1 | 0 | 4 | 1 | 4 | 61 | 132 | 13 | 67 | 31 | 46 | 52 | 23 | 16 | 17 | 2 | 6 | 0 | 6 |
325,398 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/tensorflow/layers/absolute_value.py | kamae.tensorflow.layers.absolute_value.AbsoluteValueLayer | from kamae.tensorflow.typing import Tensor
import tensorflow as tf
from .base import BaseLayer
from kamae.tensorflow.utils import enforce_single_tensor_input
import kamae
from typing import Any, Dict, List, Optional
@tf.keras.utils.register_keras_serializable(package=kamae.__name__)
class AbsoluteValueLayer(BaseLayer)... | @tf.keras.utils.register_keras_serializable(package=kamae.__name__)
class AbsoluteValueLayer(BaseLayer):
'''
Performs the abs(x) operation on a given input tensor
'''
def __init__(self, name: Optional[str]=None, input_dtype: Optional[str]=None, output_dtype: Optional[str]=None, **kwargs: Any) -> None:
... | 8 | 5 | 14 | 1 | 7 | 6 | 1 | 0.9 | 1 | 3 | 0 | 0 | 4 | 0 | 4 | 41 | 64 | 9 | 29 | 15 | 16 | 26 | 11 | 7 | 6 | 1 | 5 | 0 | 4 |
325,399 | ExpediaGroup/kamae | /Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/ExpediaGroup_kamae/src/kamae/tensorflow/layers/array_concatenate.py | kamae.tensorflow.layers.array_concatenate.ArrayConcatenateLayer | import tensorflow as tf
from .base import BaseLayer
import kamae
from kamae.tensorflow.typing import Tensor
from kamae.tensorflow.utils import enforce_multiple_tensor_input, reshape_to_equal_rank
from typing import Any, Dict, Iterable, List, Optional
@tf.keras.utils.register_keras_serializable(kamae.__name__)
class Ar... | @tf.keras.utils.register_keras_serializable(kamae.__name__)
class ArrayConcatenateLayer(BaseLayer):
'''
Performs a concatenation of the input tensors.
'''
def __init__(self, name: Optional[str]=None, input_dtype: Optional[str]=None, output_dtype: Optional[str]=None, axis: int=-1, auto_broadcast: bool=F... | 8 | 5 | 26 | 3 | 13 | 10 | 3 | 0.8 | 1 | 8 | 0 | 0 | 4 | 2 | 4 | 41 | 112 | 15 | 54 | 29 | 39 | 43 | 36 | 19 | 31 | 7 | 5 | 3 | 11 |
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