repo_name stringlengths 6 67 | path stringlengths 5 185 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 1.02k 962k | license stringclasses 15
values |
|---|---|---|---|---|---|
ellisonbg/altair | altair/utils/core.py | 1 | 10929 | """
Utility routines
"""
import re
import warnings
import collections
from copy import deepcopy
import sys
import traceback
import six
import pandas as pd
import numpy as np
try:
from pandas.api.types import infer_dtype
except ImportError: # Pandas before 0.20.0
from pandas.lib import infer_dtype
from .schem... | bsd-3-clause |
IBT-FMI/SAMRI | samri/development.py | 1 | 5858 | # -*- coding: utf-8 -*-
# Development work, e.g. for higher level functions.
# These functions are not intended to work on any machine or pass the tests.
# They are early drafts (e.g. of higher level workflows) intended to be shared among select collaborators or multiple machines of one collaborator.
# Please don't ed... | gpl-3.0 |
nelango/ViralityAnalysis | model/lib/nltk/sentiment/util.py | 3 | 30992 | # coding: utf-8
#
# Natural Language Toolkit: Sentiment Analyzer
#
# Copyright (C) 2001-2015 NLTK Project
# Author: Pierpaolo Pantone <24alsecondo@gmail.com>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
"""
Utility methods for Sentiment Analysis.
"""
from copy import deepcopy
import codecs
imp... | mit |
ChinaQuants/bokeh | bokeh/tests/test_sources.py | 26 | 3245 | from __future__ import absolute_import
import unittest
from unittest import skipIf
import warnings
try:
import pandas as pd
is_pandas = True
except ImportError as e:
is_pandas = False
from bokeh.models.sources import DataSource, ColumnDataSource, ServerDataSource
class TestColumnDataSourcs(unittest.Test... | bsd-3-clause |
paladin74/neural-network-animation | matplotlib/patches.py | 10 | 142681 | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import map, zip
import math
import matplotlib as mpl
import numpy as np
import matplotlib.cbook as cbook
import matplotlib.artist as artist
from matplotlib.a... | mit |
glouppe/scikit-learn | examples/text/document_classification_20newsgroups.py | 27 | 10521 | """
======================================================
Classification of text documents using sparse features
======================================================
This is an example showing how scikit-learn can be used to classify documents
by topics using a bag-of-words approach. This example uses a scipy.spars... | bsd-3-clause |
awni/tensorflow | tensorflow/examples/skflow/text_classification_builtin_rnn_model.py | 1 | 2881 | # Copyright 2015-present The Scikit Flow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | apache-2.0 |
toobaz/pandas | pandas/tests/window/test_api.py | 2 | 12926 | from collections import OrderedDict
import warnings
from warnings import catch_warnings
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DataFrame, Index, Series, Timestamp, concat
from pandas.core.base import SpecificationError
from pandas.tests.windo... | bsd-3-clause |
SylvainTakerkart/vobi_one | examples/scripts_vodev_0.4/script0_import_and_parameters_estimation.py | 1 | 10389 | # Author: Flavien Garcia <flavien.garcia@free.fr>
# Sylvain Takerkart <Sylvain.Takerkart@univ-amu.fr>
# License: BSD Style.
"""
Description
-----------
This script processes the oidata functions on some selected blk files or
on some raw file already imported.
The process is decomposed in 4 or 6 steps :
1. Dat... | gpl-3.0 |
ShadowTemplate/ScriBa | test.py | 1 | 5074 | import re
import glob
import time
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
# http://stackoverflow.com/questions/12118720/python-tf-idf-cosine-to-find-document-similarity
# http://scikit-learn.org/stable/modules/generated/sklearn.feature_extracti... | gpl-2.0 |
kirangonella/BuildingMachineLearningSystemsWithPython | ch10/large_classification.py | 19 | 3271 | # This code is supporting material for the book
# Building Machine Learning Systems with Python
# by Willi Richert and Luis Pedro Coelho
# published by PACKT Publishing
#
# It is made available under the MIT License
from __future__ import print_function
import mahotas as mh
from glob import glob
from sklearn import cr... | mit |
smartscheduling/scikit-learn-categorical-tree | sklearn/tests/test_isotonic.py | 16 | 11166 | import numpy as np
import pickle
from sklearn.isotonic import (check_increasing, isotonic_regression,
IsotonicRegression)
from sklearn.utils.testing import (assert_raises, assert_array_equal,
assert_true, assert_false, assert_equal,
... | bsd-3-clause |
pchmieli/h2o-3 | h2o-py/h2o/estimators/estimator_base.py | 1 | 11755 | from ..model.model_base import ModelBase
from ..model.autoencoder import H2OAutoEncoderModel
from ..model.binomial import H2OBinomialModel
from ..model.clustering import H2OClusteringModel
from ..model.dim_reduction import H2ODimReductionModel
from ..model.multinomial import H2OMultinomialModel
from ..model.regression ... | apache-2.0 |
ningchi/scikit-learn | sklearn/linear_model/tests/test_randomized_l1.py | 214 | 4690 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.linear_model.randomized_l1 i... | bsd-3-clause |
jkthompson/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/colors.py | 69 | 31676 | """
A module for converting numbers or color arguments to *RGB* or *RGBA*
*RGB* and *RGBA* are sequences of, respectively, 3 or 4 floats in the
range 0-1.
This module includes functions and classes for color specification
conversions, and for mapping numbers to colors in a 1-D array of
colors called a colormap. Color... | gpl-3.0 |
bthirion/scikit-learn | sklearn/neighbors/tests/test_kde.py | 26 | 5518 | import numpy as np
from sklearn.utils.testing import (assert_allclose, assert_raises,
assert_equal)
from sklearn.neighbors import KernelDensity, KDTree, NearestNeighbors
from sklearn.neighbors.ball_tree import kernel_norm
from sklearn.pipeline import make_pipeline
from sklearn.dataset... | bsd-3-clause |
yuyu2172/image-labelling-tool | examples/ssd/demo.py | 1 | 1243 | import argparse
import matplotlib.pyplot as plot
import yaml
import chainer
from chainercv.datasets import voc_detection_label_names
from chainercv.links import SSD300
from chainercv import utils
from chainercv.visualizations import vis_bbox
from original_detection_dataset import OriginalDetectionDataset
def main(... | mit |
Quantipy/quantipy | tests/test_merging.py | 1 | 20330 | import unittest
import os.path
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
import test_helper
import copy
import json
from operator import lt, le, eq, ne, ge, gt
from pandas.core.index import Index
__index_symbol__ = {
Index.union: ',',
Index.intersection: '&',
... | mit |
zorroblue/scikit-learn | sklearn/linear_model/omp.py | 13 | 31718 | """Orthogonal matching pursuit algorithms
"""
# Author: Vlad Niculae
#
# License: BSD 3 clause
import warnings
import numpy as np
from scipy import linalg
from scipy.linalg.lapack import get_lapack_funcs
from .base import LinearModel, _pre_fit
from ..base import RegressorMixin
from ..utils import as_float_array, ch... | bsd-3-clause |
ahoyosid/scikit-learn | examples/classification/plot_classification_probability.py | 242 | 2624 | """
===============================
Plot classification probability
===============================
Plot the classification probability for different classifiers. We use a 3
class dataset, and we classify it with a Support Vector classifier, L1
and L2 penalized logistic regression with either a One-Vs-Rest or multinom... | bsd-3-clause |
BigDataforYou/movie_recommendation_workshop_1 | big_data_4_you_demo_1/venv/lib/python2.7/site-packages/pandas/tests/series/test_misc_api.py | 1 | 11674 | # coding=utf-8
# pylint: disable-msg=E1101,W0612
import numpy as np
import pandas as pd
from pandas import Index, Series, DataFrame, date_range
from pandas.tseries.index import Timestamp
from pandas.compat import range
from pandas import compat
import pandas.formats.printing as printing
from pandas.util.testing impo... | mit |
florian-f/sklearn | sklearn/metrics/cluster/tests/test_supervised.py | 15 | 7635 | import numpy as np
from sklearn.metrics.cluster import adjusted_rand_score
from sklearn.metrics.cluster import homogeneity_score
from sklearn.metrics.cluster import completeness_score
from sklearn.metrics.cluster import v_measure_score
from sklearn.metrics.cluster import homogeneity_completeness_v_measure
from sklearn... | bsd-3-clause |
shishaochen/TensorFlow-0.8-Win | tensorflow/examples/skflow/digits.py | 4 | 2395 | # Copyright 2015-present The Scikit Flow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | apache-2.0 |
jayshonzs/ESL | KernelSmoothing/LocalLinearRegression.py | 1 | 1142 | '''
Created on 2014-6-21
@author: xiajie
'''
import numpy as np
import SimulateData as sd
import matplotlib.pyplot as plt
def augment(X):
lst = [[1, X[i]] for i in range(len(X))]
return np.array(lst)
def Epanechnikov(x0, x, lmbda):
t = np.abs(x0-x)/lmbda
if t > 1:
return 0
else:
r... | mit |
paulsheehan/deeperSpeech | audio_input.py | 1 | 1939 | import csv
import os
import librosa
import numpy as np
import tensorflow as tf
import pandas as pd
testOutput = open('data/cluster_test_results.csv', 'w')
outputWriter = csv.writer(testOutput, delimiter=',')
headers = ["id", "freq_min", "freq_max", "freq_std", "mfcc_power", "mfcc_mean", "mfcc_std", "mfcc_delta_mean",... | mit |
rosswhitfield/mantid | qt/python/mantidqt/widgets/plotconfigdialog/axestabwidget/__init__.py | 3 | 2266 | # Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2019 ISIS Rutherford Appleton Laboratory UKRI,
# NScD Oak Ridge National Laboratory, European Spallation Source,
# Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
# T... | gpl-3.0 |
DhashS/Olin-Complexity-Final-Project | code/stats.py | 1 | 1959 | from parsers import TSP
from algs import simple_greed
import matplotlib.pyplot as plt
import seaborn as sns
from ggplot import ggplot, aes, geom_point, geom_hline, ggtitle, geom_line
import pandas as pd
import numpy as np
from decorator import decorator
import os
import time
def get_stats(name="", path="../img/", d... | gpl-3.0 |
bhargav/scikit-learn | examples/cluster/plot_birch_vs_minibatchkmeans.py | 333 | 3694 | """
=================================
Compare BIRCH and MiniBatchKMeans
=================================
This example compares the timing of Birch (with and without the global
clustering step) and MiniBatchKMeans on a synthetic dataset having
100,000 samples and 2 features generated using make_blobs.
If ``n_clusters... | bsd-3-clause |
ClimbsRocks/scikit-learn | sklearn/tests/test_dummy.py | 186 | 17778 | from __future__ import division
import numpy as np
import scipy.sparse as sp
from sklearn.base import clone
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_eq... | bsd-3-clause |
SummaLabs/DLS | app/backend/core/datasets/dbhelpers.py | 1 | 10266 | #!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
import os
import sys
import glob
import fnmatch
import numpy as np
import json
import pandas as pd
from dbutils import calcNumImagesByLabel, getListDirNamesInDir, getListImagesInDirectory, checkFilePath
#################################################
clas... | mit |
xmnlab/minilab | data_type/array/plot.py | 1 | 1109 | # -*- coding: utf-8 -*-
"""
Visualiza datos en gráficos utilizando la librería google charts
"""
import matplotlib.pyplot as plt
import numpy as np
import random
from matplotlib.ticker import EngFormatter
sample = 2
sensors = [random.sample(xrange(100), sample),
random.sample(xrange(100), sample),
... | gpl-3.0 |
kenshay/ImageScript | ProgramData/SystemFiles/Python/Lib/site-packages/pandas/tseries/util.py | 7 | 3244 | import warnings
from pandas.compat import lrange
import numpy as np
from pandas.types.common import _ensure_platform_int
from pandas.core.frame import DataFrame
import pandas.core.nanops as nanops
def pivot_annual(series, freq=None):
"""
Deprecated. Use ``pivot_table`` instead.
Group a series by years, ... | gpl-3.0 |
gwparikh/cvguipy | genetic_compare.py | 2 | 4329 | #!/usr/bin/env python
import os, sys, subprocess
import argparse
import subprocess
import timeit
from multiprocessing import Queue, Lock
from configobj import ConfigObj
from numpy import loadtxt
from numpy.linalg import inv
import matplotlib.pyplot as plt
import moving
from cvguipy import trajstorage, cvgenetic
"""co... | mit |
moonbury/pythonanywhere | github/MasteringMLWithScikit-learn/8365OS_04_Codes/ch42.py | 3 | 1763 | import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import train_test_split
from sklearn.metrics import precision_score, recall_score, roc_auc_score, auc, confusion_matrix
import numpy as np
from scipy.sparse i... | gpl-3.0 |
giorgiop/scikit-learn | sklearn/datasets/samples_generator.py | 7 | 56557 | """
Generate samples of synthetic data sets.
"""
# Authors: B. Thirion, G. Varoquaux, A. Gramfort, V. Michel, O. Grisel,
# G. Louppe, J. Nothman
# License: BSD 3 clause
import numbers
import array
import numpy as np
from scipy import linalg
import scipy.sparse as sp
from ..preprocessing import MultiLabelBin... | bsd-3-clause |
andyraib/data-storage | python_scripts/env/lib/python3.6/site-packages/pandas/tseries/holiday.py | 9 | 16176 | import warnings
from pandas import DateOffset, DatetimeIndex, Series, Timestamp
from pandas.compat import add_metaclass
from datetime import datetime, timedelta
from dateutil.relativedelta import MO, TU, WE, TH, FR, SA, SU # noqa
from pandas.tseries.offsets import Easter, Day
import numpy as np
def next_monday(dt):... | apache-2.0 |
js850/pele | pele/potentials/test_functions/_beale.py | 1 | 3947 | import numpy as np
from numpy import exp, sqrt, cos, pi, sin
from pele.potentials import BasePotential
from pele.systems import BaseSystem
def makeplot2d(f, nx=100, xmin=None, xmax=None, zlim=None, show=True):
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as pl... | gpl-3.0 |
flightgong/scikit-learn | sklearn/decomposition/pca.py | 1 | 26496 | """ Principal Component Analysis
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <d.engemann@fz-juelich.de>
#
# License: BSD 3 clause
from math import log, sqrt
import warnin... | bsd-3-clause |
suvam97/zeppelin | python/src/main/resources/bootstrap.py | 4 | 5728 | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | apache-2.0 |
0x0all/scikit-learn | examples/linear_model/plot_ols_3d.py | 350 | 2040 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Sparsity Example: Fitting only features 1 and 2
=========================================================
Features 1 and 2 of the diabetes-dataset are fitted and
plotted below. It illustrates that although feature... | bsd-3-clause |
pystruct/pystruct | examples/plot_snakes_typed.py | 1 | 7289 | """
==============================================
Conditional Interactions on the Snakes Dataset
==============================================
This is a variant of plot_snakes.py where we use the NodeTypeEdgeFeatureGraphCRF
class instead of EdgeFeatureGraphCRF, despite there is only 1 type of nodes.
So this should g... | bsd-2-clause |
LeoQuote/ingress-simple-planner | create_plan.py | 1 | 5789 | import csv
import matplotlib.path as mplPath
import numpy as np
import json
class portal:
def __init__(self,name, lat, lon):
self.name = name
self.lat = float(lat)-40
self.lon = float(lon)-116
def __repr__(self):
return '{}'.format(self.name)
def __str__(self):
... | mit |
yukisakurai/hhana | mva/plotting/classify.py | 5 | 12122 |
# stdlib imports
import os
# local imports
from . import log
from ..variables import VARIABLES
from .. import PLOTS_DIR
from .draw import draw
from statstools.utils import efficiency_cut, significance
# matplotlib imports
from matplotlib import cm
from matplotlib import pyplot as plt
from matplotlib.ticker import Ma... | gpl-3.0 |
rsivapr/scikit-learn | sklearn/qda.py | 8 | 7229 | """
Quadratic Discriminant Analysis
"""
# Author: Matthieu Perrot <matthieu.perrot@gmail.com>
#
# License: BSD 3 clause
import warnings
import numpy as np
from .base import BaseEstimator, ClassifierMixin
from .externals.six.moves import xrange
from .utils.fixes import unique
from .utils import check_arrays, array2d... | bsd-3-clause |
hadim/pygraphml | pygraphml/graph.py | 1 | 6171 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from . import Node
from . import Edge
from collections import deque
class Graph:
"""
Main class which represent a Graph
:param na... | bsd-3-clause |
alexlee-gk/visual_dynamics | scripts/plot_algorithm.py | 1 | 8487 | import argparse
import csv
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import yaml
from visual_dynamics.utils.iter_util import flatten_tree, unflatten_tree
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--algorithm_fnames', nargs='+', type=str)
parser.ad... | mit |
nicolagritti/ACVU_scripts | source/check_piezo_movements.py | 1 | 1793 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 1 10:31:00 2015
@author: kienle
"""
import numpy as np
import matplotlib.pyplot as plt
import pickle
from matplotlib import cm
from generalFunctions import *
from skimage import filters
import matplotlib as mpl
mpl.rcParams['pdf.fonttype'] = 42
path = 'X:\\Nicola\\16... | gpl-3.0 |
jwiggins/scikit-image | doc/examples/features_detection/plot_local_binary_pattern.py | 12 | 6776 | """
===============================================
Local Binary Pattern for texture classification
===============================================
In this example, we will see how to classify textures based on LBP (Local
Binary Pattern). LBP looks at points surrounding a central point and tests
whether the surroundin... | bsd-3-clause |
lukauskas/scipy | scipy/signal/windows.py | 32 | 53971 | """The suite of window functions."""
from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from scipy import special, linalg
from scipy.fftpack import fft
from scipy._lib.six import string_types
__all__ = ['boxcar', 'triang', 'parzen', 'bohman', 'blackman', 'nuttall',
... | bsd-3-clause |
Insight-book/data-science-from-scratch | scratch/recommender_systems.py | 2 | 12803 | users_interests = [
["Hadoop", "Big Data", "HBase", "Java", "Spark", "Storm", "Cassandra"],
["NoSQL", "MongoDB", "Cassandra", "HBase", "Postgres"],
["Python", "scikit-learn", "scipy", "numpy", "statsmodels", "pandas"],
["R", "Python", "statistics", "regression", "probability"],
["machine learning", ... | unlicense |
lfairchild/PmagPy | programs/hysteresis_magic2.py | 2 | 13221 | #!/usr/bin/env python
import sys
import matplotlib
if matplotlib.get_backend() != "TKAgg":
matplotlib.use("TKAgg")
import pmagpy.pmagplotlib as pmagplotlib
import pmagpy.pmag as pmag
def main():
"""
NAME
hysteresis_magic.py
DESCRIPTION
calculates hystereis parameters and saves them i... | bsd-3-clause |
nicproulx/mne-python | tutorials/plot_background_filtering.py | 3 | 43173 | # -*- coding: utf-8 -*-
r"""
.. _tut_background_filtering:
===================================
Background information on filtering
===================================
Here we give some background information on filtering in general,
and how it is done in MNE-Python in particular.
Recommended reading for practical app... | bsd-3-clause |
neale/CS-program | 434-MachineLearning/final_project/linearClassifier/sklearn/base.py | 11 | 18381 | """Base classes for all estimators."""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# License: BSD 3 clause
import copy
import warnings
import numpy as np
from scipy import sparse
from .externals import six
from .utils.fixes import signature
from .utils.deprecation import deprecated
from .exceptions impo... | unlicense |
IshankGulati/scikit-learn | sklearn/utils/tests/test_shortest_path.py | 303 | 2841 | from collections import defaultdict
import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.utils.graph import (graph_shortest_path,
single_source_shortest_path_length)
def floyd_warshall_slow(graph, directed=False):
N = graph.shape[0]
#set nonzer... | bsd-3-clause |
mxjl620/scikit-learn | sklearn/ensemble/tests/test_weight_boosting.py | 83 | 17276 | """Testing for the boost module (sklearn.ensemble.boost)."""
import numpy as np
from sklearn.utils.testing import assert_array_equal, assert_array_less
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal, assert_true
from sklearn.utils.testing import assert_raises... | bsd-3-clause |
jaidevd/scikit-learn | examples/ensemble/plot_gradient_boosting_oob.py | 82 | 4768 | """
======================================
Gradient Boosting Out-of-Bag estimates
======================================
Out-of-bag (OOB) estimates can be a useful heuristic to estimate
the "optimal" number of boosting iterations.
OOB estimates are almost identical to cross-validation estimates but
they can be compute... | bsd-3-clause |
frank-tancf/scikit-learn | examples/decomposition/plot_pca_iris.py | 29 | 1484 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
PCA example with Iris Data-set
=========================================================
Principal Component Analysis applied to the Iris dataset.
See `here <http://en.wikipedia.org/wiki/Iris_flower_data_set>`_ fo... | bsd-3-clause |
xyguo/scikit-learn | sklearn/datasets/lfw.py | 31 | 19544 | """Loader for the Labeled Faces in the Wild (LFW) dataset
This dataset is a collection of JPEG pictures of famous people collected
over the internet, all details are available on the official website:
http://vis-www.cs.umass.edu/lfw/
Each picture is centered on a single face. The typical task is called
Face Veri... | bsd-3-clause |
jor-/scipy | doc/source/tutorial/examples/optimize_global_1.py | 15 | 1752 | import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
def eggholder(x):
return (-(x[1] + 47) * np.sin(np.sqrt(abs(x[0]/2 + (x[1] + 47))))
-x[0] * np.sin(np.sqrt(abs(x[0] - (x[1] + 47)))))
bounds = [(-512, 512), (-512, 512)]
x = np.arange(-512, 513)
y = np.arange(-512, 513)
... | bsd-3-clause |
MatteusDeloge/opengrid | opengrid/library/analysis.py | 1 | 1817 | # -*- coding: utf-8 -*-
"""
General analysis functions.
Try to write all methods such that they take a dataframe as input
and return a dataframe or list of dataframes.
"""
import numpy as np
import pdb
import pandas as pd
from opengrid.library.misc import *
def daily_min(df, starttime=None, endtime=None):
"""
... | apache-2.0 |
qiime2/q2-types | q2_types/plugin_setup.py | 1 | 1462 | # ----------------------------------------------------------------------------
# Copyright (c) 2016-2021, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | bsd-3-clause |
kaleoyster/ProjectNBI | nbi-datacenterhub/top-level.py | 1 | 7152 | """
The script updates new cases to the top level file for the data-center hub
"""
import pandas as pd
import csv
import os
import numpy as np
from collections import OrderedDict
from collections import defaultdict
import sys
__author__ = 'Akshay Kale'
__copyright__ = 'GPL'
__credits__ = ['Jonathan Monical']
__email__... | gpl-2.0 |
maxlikely/scikit-learn | sklearn/linear_model/tests/test_ridge.py | 5 | 12759 | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.u... | bsd-3-clause |
alexmojaki/odo | odo/backends/aws.py | 3 | 9445 | from __future__ import print_function, division, absolute_import
import os
import uuid
import zlib
import re
from contextlib import contextmanager
from collections import Iterator
from operator import attrgetter
import pandas as pd
from toolz import memoize, first
from .. import (discover, CSV, resource, append, co... | bsd-3-clause |
phobson/pygridtools | pygridtools/misc.py | 2 | 13682 | from collections import OrderedDict
from shapely.geometry import Point, Polygon
import numpy
import matplotlib.path as mpath
import pandas
from shapely import geometry
import geopandas
from pygridgen import csa
from pygridtools import validate
def make_poly_coords(xarr, yarr, zpnt=None, triangles=False):
""" Ma... | bsd-3-clause |
ryfeus/lambda-packs | Sklearn_scipy_numpy/source/sklearn/neighbors/graph.py | 208 | 7031 | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD 3 clause (C) INRIA, University of Amsterdam
import warnings
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def _check_params(X, metric, p, metric_... | mit |
KarrLab/kinetic_datanator | datanator/util/rna_halflife_util.py | 1 | 6850 | from datanator_query_python.query import query_uniprot
from datanator.data_source import uniprot_nosql
from datanator.util import file_util
from datanator_query_python.util import mongo_util
from pathlib import Path, PurePath, PurePosixPath
import math
import pandas as pd
class RnaHLUtil(mongo_util.MongoUtil):
d... | mit |
liulohua/ml_tutorial | linear_regression/plot_error_surface.py | 1 | 1119 | import numpy as np
import os
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def fun(w, b):
# prepare data
x_min = -10.
x_max = 10.
m = 100
x = np.random.uniform(x_min, x_max, m)
true_w = 5.
true_b = 5.
y_noise_sigma = 3.
y_ = true_w * x + true_b# + np.random... | apache-2.0 |
olafhauk/mne-python | mne/viz/tests/test_misc.py | 9 | 10531 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Denis Engemann <denis.engemann@gmail.com>
# Martin Luessi <mluessi@nmr.mgh.harvard.edu>
# Eric Larson <larson.eric.d@gmail.com>
# Cathy Nangini <cnangini@gmail.com>
# Mainak Jas <mainak@neuro.hut.fi>
#
# License: ... | bsd-3-clause |
mathemage/h2o-3 | h2o-py/tests/testdir_algos/kmeans/pyunit_iris_h2o_vs_sciKmeans.py | 8 | 1469 | from __future__ import print_function
from builtins import zip
from builtins import range
import sys
sys.path.insert(1,"../../../")
import h2o
from tests import pyunit_utils
import numpy as np
from sklearn.cluster import KMeans
from h2o.estimators.kmeans import H2OKMeansEstimator
def iris_h2o_vs_sciKmeans():
# Con... | apache-2.0 |
ceefour/opencog | opencog/python/spatiotemporal/temporal_events/membership_function.py | 34 | 4673 | from math import fabs
from random import random
from scipy.stats.distributions import rv_frozen
from spatiotemporal.time_intervals import TimeInterval
from spatiotemporal.unix_time import random_time, UnixTime
from utility.generic import convert_dict_to_sorted_lists
from utility.functions import Function, FunctionPiece... | agpl-3.0 |
mrocklin/partd | partd/tests/test_pandas.py | 2 | 3727 | from __future__ import absolute_import
import pytest
pytest.importorskip('pandas') # noqa
import numpy as np
import pandas as pd
import pandas.util.testing as tm
import os
from partd.pandas import PandasColumns, PandasBlocks, serialize, deserialize
df1 = pd.DataFrame({'a': [1, 2, 3],
'b': [1.,... | bsd-3-clause |
hooram/ownphotos-backend | api/face_clustering.py | 1 | 4573 | from api.models import Face
from api.models import Person
import base64
import pickle
import itertools
from scipy import linalg
from sklearn.decomposition import PCA
import numpy as np
import matplotlib as mpl
from sklearn import cluster
from sklearn import mixture
from scipy.spatial import distance
from sklearn.prep... | mit |
yanchen036/tensorflow | tensorflow/contrib/timeseries/examples/lstm.py | 24 | 13826 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
terna/SLAPP3 | 6 objectSwarmObserverAgents_AESOP_turtleLib_NetworkX/basic2D/display2D.py | 1 | 1838 | #display2d.py for the basic2D project
import matplotlib.pyplot as plt
def checkRunningInIPython():
try:
__IPYTHON__
return True
except NameError:
return False
def display2D(agentList, cycle, nCycles, sleep):
global IPy, ax, dots, fig, myDisplay # to avoid missing assignment errors... | cc0-1.0 |
njordsir/Movie-Script-Analysis | Doc2Vec and Classification/doc2vec_model.py | 1 | 9067 | # -*- coding: utf-8 -*-
"""
Created on Sat Sep 17 04:26:02 2016
@author: naman
"""
import multiprocessing
import json
from operator import itemgetter
import os
import gensim, logging
from gensim.models.doc2vec import TaggedDocument
from gensim.models.doc2vec import LabeledSentence
import re
import numpy as np
loggin... | mit |
gregcaporaso/short-read-tax-assignment | tax_credit/eval_framework.py | 4 | 44170 | #!/usr/bin/env python
# ----------------------------------------------------------------------------
# Copyright (c) 2014--, tax-credit development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------... | bsd-3-clause |
jcmgray/xyzpy | xyzpy/gen/batch.py | 1 | 52861 | import os
import re
import copy
import math
import time
import glob
import shutil
import pickle
import pathlib
import warnings
import functools
import importlib
import itertools
import numpy as np
import xarray as xr
from ..utils import _get_fn_name, prod, progbar
from .combo_runner import (
_combo_runner,
co... | mit |
yufeldman/arrow | python/pyarrow/tests/test_feather.py | 3 | 15177 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | apache-2.0 |
cybernet14/scikit-learn | sklearn/manifold/tests/test_mds.py | 324 | 1862 | import numpy as np
from numpy.testing import assert_array_almost_equal
from nose.tools import assert_raises
from sklearn.manifold import mds
def test_smacof():
# test metric smacof using the data of "Modern Multidimensional Scaling",
# Borg & Groenen, p 154
sim = np.array([[0, 5, 3, 4],
... | bsd-3-clause |
kaylanb/SkinApp | machine_learn/blob_hog_predict_common_url_set/predict_with_hog.py | 1 | 4118 | '''outputs features for HOG machine learning'''
from matplotlib import image as mpimg
from scipy import sqrt, pi, arctan2, cos, sin, ndimage, fftpack, stats
from skimage import exposure, measure, feature
from PIL import Image
import cStringIO
import urllib2
from numpy.random import rand
from numpy import ones, zeros, ... | bsd-3-clause |
mojoboss/scikit-learn | examples/ensemble/plot_gradient_boosting_oob.py | 230 | 4762 | """
======================================
Gradient Boosting Out-of-Bag estimates
======================================
Out-of-bag (OOB) estimates can be a useful heuristic to estimate
the "optimal" number of boosting iterations.
OOB estimates are almost identical to cross-validation estimates but
they can be compute... | bsd-3-clause |
rrohan/scikit-learn | examples/svm/plot_svm_kernels.py | 329 | 1971 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
SVM-Kernels
=========================================================
Three different types of SVM-Kernels are displayed below.
The polynomial and RBF are especially useful when the
data-points are not linearly sep... | bsd-3-clause |
cl4rke/scikit-learn | examples/applications/plot_stock_market.py | 227 | 8284 | """
=======================================
Visualizing the stock market structure
=======================================
This example employs several unsupervised learning techniques to extract
the stock market structure from variations in historical quotes.
The quantity that we use is the daily variation in quote ... | bsd-3-clause |
QuLogic/cartopy | lib/cartopy/tests/mpl/__init__.py | 2 | 12599 | # Copyright Cartopy Contributors
#
# This file is part of Cartopy and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
import base64
import distutils
import os
import glob
import shutil
import warnings
import flufl.lock
import matplotlib ... | lgpl-3.0 |
ningchi/scikit-learn | examples/cluster/plot_lena_segmentation.py | 271 | 2444 | """
=========================================
Segmenting the picture of Lena in regions
=========================================
This example uses :ref:`spectral_clustering` on a graph created from
voxel-to-voxel difference on an image to break this image into multiple
partly-homogeneous regions.
This procedure (spe... | bsd-3-clause |
all-umass/graphs | graphs/construction/incremental.py | 1 | 1809 | from __future__ import absolute_import
import numpy as np
from sklearn.metrics import pairwise_distances
from graphs import Graph
__all__ = ['incremental_neighbor_graph']
def incremental_neighbor_graph(X, precomputed=False, k=None, epsilon=None,
weighting='none'):
'''See neighbor_g... | mit |
ilyes14/scikit-learn | sklearn/utils/extmath.py | 70 | 21951 | """
Extended math utilities.
"""
# Authors: Gael Varoquaux
# Alexandre Gramfort
# Alexandre T. Passos
# Olivier Grisel
# Lars Buitinck
# Stefan van der Walt
# Kyle Kastner
# License: BSD 3 clause
from __future__ import division
from functools import partial
import ... | bsd-3-clause |
btgorman/RISE-power-water-ss-1phase | classes_power.py | 1 | 88826 | # Copyright 2017 Brandon T. Gorman
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing... | apache-2.0 |
SlicerRt/SlicerDebuggingTools | PyDevRemoteDebug/ptvsd-4.1.3/ptvsd/_vendored/pydevd/pydev_ipython/qt_for_kernel.py | 2 | 3698 | """ Import Qt in a manner suitable for an IPython kernel.
This is the import used for the `gui=qt` or `matplotlib=qt` initialization.
Import Priority:
if Qt4 has been imported anywhere else:
use that
if matplotlib has been imported and doesn't support v2 (<= 1.0.1):
use PyQt4 @v1
Next, ask ETS' ... | bsd-3-clause |
chhao91/pysal | pysal/contrib/spint/gravity_stats.py | 8 | 5584 | # coding=utf-8
"""
Statistics for gravity models
References
----------
Fotheringham, A. S. and O'Kelly, M. E. (1989). Spatial Interaction Models: Formulations
and Applications. London: Kluwer Academic Publishers.
Williams, P. A. and A. S. Fotheringham (1984), The Calibration of Spatial Interaction
Models by Maximu... | bsd-3-clause |
microsoft/EconML | prototypes/dml_iv/deep_dml_iv.py | 1 | 3996 |
import numpy as np
from sklearn.model_selection import KFold
from econml.utilities import hstack
from dml_iv import _BaseDMLIV
import keras
import keras.layers as L
from keras.models import Model, clone_model
class DeepDMLIV(_BaseDMLIV):
"""
A child of the _BaseDMLIV class that specifies a deep neu... | mit |
fzalkow/scikit-learn | sklearn/qda.py | 140 | 7682 | """
Quadratic Discriminant Analysis
"""
# Author: Matthieu Perrot <matthieu.perrot@gmail.com>
#
# License: BSD 3 clause
import warnings
import numpy as np
from .base import BaseEstimator, ClassifierMixin
from .externals.six.moves import xrange
from .utils import check_array, check_X_y
from .utils.validation import ... | bsd-3-clause |
benschneider/sideprojects1 | FFT_filters/corrFiltSim.py | 1 | 2043 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 06 13:43:48 2015
@author: Ben
simulation of
correlation calculations and averages
with data which includes noise.
"""
import numpy as np
import scipy.signal as signal
import matplotlib.pyplot as plt
from time import time
lags = 25
points = int(1e4)
triggers = 1
Noise... | gpl-2.0 |
salkinium/bachelor | link_analysis/fec_plotter.py | 1 | 13015 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014, Niklas Hauser
# All rights reserved.
#
# The file is part of my bachelor thesis and is released under the 3-clause BSD
# license. See the file `LICENSE` for the full license governing this code.
# -------------------------------------------------------... | bsd-2-clause |
hlin117/scikit-learn | sklearn/metrics/tests/test_pairwise.py | 42 | 27323 | import numpy as np
from numpy import linalg
from scipy.sparse import dok_matrix, csr_matrix, issparse
from scipy.spatial.distance import cosine, cityblock, minkowski, wminkowski
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing impo... | bsd-3-clause |
classner/barrista | barrista/monitoring.py | 1 | 84399 | # -*- coding: utf-8 -*-
"""Defines several tools for monitoring net activity."""
# pylint: disable=F0401, E1101, too-many-lines, wrong-import-order
import logging as _logging
import os as _os
import subprocess as _subprocess
import collections as _collections
import numpy as _np
# pylint: disable=no-name-in-module
from... | mit |
kiryx/pagmo | PyGMO/util/_analysis.py | 5 | 169844 | from __future__ import print_function as _dummy
class analysis:
"""
This class contains the tools necessary for exploratory analysis of the search,
fitness and constraint space of a given problem. Several tests can be conducted
on a low-discrepancy sample of the search space or on an existing populat... | gpl-3.0 |
napjon/moocs_solution | ml-udacity/k_means/k_means_cluster.py | 6 | 2570 | #!/usr/bin/python
"""
skeleton code for k-means clustering mini-project
"""
import pickle
import numpy
import matplotlib.pyplot as plt
import sys
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit
def Draw(pred, features, poi, mark_poi=False, name="image.png", f1_n... | mit |
zhyuey/maps | usa_map_general/usa_map.py | 1 | 2854 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import csv
import sys, os
import shapefile
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
from matplotlib import cm
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from matplotlib.patches import Polygon
from matplotlib... | mit |
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