repo_name stringlengths 7 90 | path stringlengths 5 191 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 976 581k | license stringclasses 15
values |
|---|---|---|---|---|---|
hdmetor/scikit-learn | sklearn/metrics/metrics.py | 233 | 1262 | import warnings
warnings.warn("sklearn.metrics.metrics is deprecated and will be removed in "
"0.18. Please import from sklearn.metrics",
DeprecationWarning)
from .ranking import auc
from .ranking import average_precision_score
from .ranking import label_ranking_average_precision_score
fro... | bsd-3-clause |
iled/gsimcli | GSIMCLI/parsers/spreadsheet.py | 1 | 8776 | # -*- coding: utf-8 -*-
"""
This module handles different spreadsheet-like files (e.g., CSV, TSV, XLS) and
parses them into other needed formats (e.g., GSLIB, COST-HOME).
Created on 5 de Nov de 2013
@author: julio
"""
import os
import numpy as np
import pandas as pd
import tools.grid as grd
import tools.utils as ut... | gpl-3.0 |
jiangdaniel/sentence-autocomp | scikit/test.py | 1 | 1976 | from sklearn.feature_extraction.text import CountVectorizer
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn.preprocessing import StandardScaler
import numpy as np
import re
# min_df sets the number of times a ngram must repeat to be inclduded in info vector
# With 1, all ngrams are included... | mit |
ywang007/odo | odo/backends/sql.py | 1 | 22308 | from __future__ import absolute_import, division, print_function
from operator import attrgetter
import os
import re
import subprocess
from itertools import chain
from collections import Iterator
from datetime import datetime, date
from distutils.spawn import find_executable
import pandas as pd
import sqlalchemy as ... | bsd-3-clause |
jiajunshen/partsNet | scripts/visualizeWheretoCodeParts.py | 1 | 7169 | from __future__ import division, print_function,absolute_import
import pylab as plt
import amitgroup.plot as gr
import numpy as np
import amitgroup as ag
import os
import pnet
import matplotlib.pylab as plot
from pnet.cyfuncs import index_map_pooling
from queue import Queue
def extract(ims,allLayers):
#print(allLay... | bsd-3-clause |
thePetrMarek/SequenceOfDigitsRecognition | prepare_svhn_dataset.py | 1 | 4327 | import h5py
import scipy.misc
import tqdm
import json
import os
from PIL import Image
import matplotlib.pyplot as plt
from matplotlib import patches
def get_box_data(index, hdf5_data):
"""
get `left, top, width, height` of each picture
:param index:
:param hdf5_data:
:return:
"""
meta_data... | mit |
lukauskas/dgw | dgw/dtw/visualisation.py | 2 | 7161 | from matplotlib.patches import ConnectionPatch
from dgw.util.plotting import pyplot as plt
import matplotlib.cm as cm
from matplotlib.ticker import NullFormatter
import numpy as np
from dgw.dtw import reverse_sequence
from distance import dtw_std, dtw_path_is_reversed
def plot_dtw_cost_and_path(cost_matrix, path, ax... | gpl-3.0 |
jwiggins/scikit-image | skimage/util/colormap.py | 25 | 12423 | from matplotlib.colors import LinearSegmentedColormap
viridis_data = [[ 0.26700401, 0.00487433, 0.32941519],
[ 0.26851048, 0.00960483, 0.33542652],
[ 0.26994384, 0.01462494, 0.34137895],
[ 0.27130489, 0.01994186, 0.34726862],
[ 0.27259384, 0.02556309, 0.35309303],
[ 0.27380... | bsd-3-clause |
vighneshbirodkar/scikit-image | skimage/viewer/plugins/overlayplugin.py | 40 | 3615 | from warnings import warn
from ...util.dtype import dtype_range
from .base import Plugin
from ..utils import ClearColormap, update_axes_image
import six
from ..._shared.version_requirements import is_installed
__all__ = ['OverlayPlugin']
class OverlayPlugin(Plugin):
"""Plugin for ImageViewer that displays an ... | bsd-3-clause |
IssamLaradji/scikit-learn | examples/linear_model/plot_sgd_comparison.py | 167 | 1659 | """
==================================
Comparing various online solvers
==================================
An example showing how different online solvers perform
on the hand-written digits dataset.
"""
# Author: Rob Zinkov <rob at zinkov dot com>
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot a... | bsd-3-clause |
maxlikely/scikit-learn | examples/manifold/plot_swissroll.py | 4 | 1416 | """
===================================
Swiss Roll reduction with LLE
===================================
An illustration of Swiss Roll reduction
with locally linear embedding
"""
# Author: Fabian Pedregosa -- <fabian.pedregosa@inria.fr>
# License: BSD, (C) INRIA 2011
print(__doc__)
import pylab as pl
# This impor... | bsd-3-clause |
mne-tools/mne-tools.github.io | 0.21/_downloads/0a4e2c3b03ded4058c947e4638e591aa/plot_70_fnirs_processing.py | 2 | 14122 | """
.. _tut-fnirs-processing:
Preprocessing functional near-infrared spectroscopy (fNIRS) data
================================================================
This tutorial covers how to convert functional near-infrared spectroscopy
(fNIRS) data from raw measurements to relative oxyhaemoglobin (HbO) and
deoxyhaemogl... | bsd-3-clause |
kastnerkyle/pylearn2 | pylearn2/cross_validation/tests/test_dataset_iterators.py | 49 | 6535 | """
Test cross-validation dataset iterators.
"""
from pylearn2.config import yaml_parse
from pylearn2.testing.skip import skip_if_no_sklearn
def test_dataset_k_fold():
"""Test DatasetKFold."""
skip_if_no_sklearn()
mapping = {'dataset_iterator': 'DatasetKFold'}
test_yaml = test_yaml_dataset_iterator % ... | bsd-3-clause |
great-expectations/great_expectations | tests/core/test_batch_related_objects.py | 1 | 4097 | import pandas as pd
import pytest
from great_expectations.core.batch import (
Batch,
BatchDefinition,
BatchMarkers,
BatchRequest,
BatchSpec,
IDDict,
)
from great_expectations.core.batch_spec import RuntimeDataBatchSpec
from great_expectations.exceptions import InvalidBatchSpecError
def test_b... | apache-2.0 |
goldner-lab/photon-tools | blink_removal.py | 1 | 13247 | #!/usr/bin/python
"""
Implementation of Bayesian blink removal algorithm.
Ben Gamari, 2010
This follows the work of Taylor, et al.
(Biophysical Journal, Vol 98, January 2010, pp. 164-173)
"""
import logging
from math import pi, exp, log
import random
import numpy as np
from numpy import mean, array
from numpy.lib.r... | gpl-3.0 |
Myasuka/scikit-learn | sklearn/neighbors/classification.py | 106 | 13987 | """Nearest Neighbor Classification"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck <L.J.Buitinck@uva.nl>
# Multi-output support by ... | bsd-3-clause |
DVegaCapital/zipline | tests/modelling/test_engine.py | 8 | 15874 | """
Tests for SimpleFFCEngine
"""
from __future__ import division
from unittest import TestCase
from itertools import product
from numpy import (
full,
isnan,
nan,
)
from numpy.testing import assert_array_equal
from pandas import (
DataFrame,
date_range,
Int64Index,
MultiIndex,
rolling_... | apache-2.0 |
OshynSong/scikit-learn | benchmarks/bench_mnist.py | 76 | 6136 | """
=======================
MNIST dataset benchmark
=======================
Benchmark on the MNIST dataset. The dataset comprises 70,000 samples
and 784 features. Here, we consider the task of predicting
10 classes - digits from 0 to 9 from their raw images. By contrast to the
covertype dataset, the feature space is... | bsd-3-clause |
aminert/scikit-learn | sklearn/ensemble/tests/test_forest.py | 48 | 35412 | """
Testing for the forest module (sklearn.ensemble.forest).
"""
# Authors: Gilles Louppe,
# Brian Holt,
# Andreas Mueller,
# Arnaud Joly
# License: BSD 3 clause
import pickle
from collections import defaultdict
from itertools import product
import numpy as np
from scipy.sparse import csr_... | bsd-3-clause |
rs2/pandas | pandas/tests/indexes/timedeltas/test_insert.py | 2 | 4022 | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import Index, Timedelta, TimedeltaIndex, timedelta_range
import pandas._testing as tm
class TestTimedeltaIndexInsert:
def test_insert(self):
idx = TimedeltaIndex(["4day", "1day", "2day"], name="idx")
... | bsd-3-clause |
warmspringwinds/scikit-image | doc/examples/plot_denoise.py | 17 | 2078 | """
====================
Denoising a picture
====================
In this example, we denoise a noisy version of the picture of the astronaut
Eileen Collins using the total variation and bilateral denoising filter.
These algorithms typically produce "posterized" images with flat domains
separated by sharp edges. It i... | bsd-3-clause |
OTWillems/GEO1005 | SpatialDecision/external/networkx/drawing/nx_pylab.py | 20 | 30247 | """
**********
Matplotlib
**********
Draw networks with matplotlib.
See Also
--------
matplotlib: http://matplotlib.org/
pygraphviz: http://pygraphviz.github.io/
"""
# Copyright (C) 2004-2015 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>... | gpl-2.0 |
alongwithyou/auto-sklearn | source/conf.py | 5 | 8715 | # -*- coding: utf-8 -*-
#
# AutoSklearn documentation build configuration file, created by
# sphinx-quickstart on Thu May 21 13:40:42 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#... | bsd-3-clause |
LeeKamentsky/CellProfiler | cellprofiler/settings.py | 1 | 143936 | """ Setting.py - represents a module setting
CellProfiler is distributed under the GNU General Public License.
See the accompanying file LICENSE for details.
Copyright (c) 2003-2009 Massachusetts Institute of Technology
Copyright (c) 2009-2015 Broad Institute
All rights reserved.
Please see the AUTHORS file for cred... | gpl-2.0 |
algorithmic-music-exploration/amen | docs/conf.py | 1 | 10386 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# AMEN documentation build configuration file, created by
# sphinx-quickstart on Sat May 21 16:07:22 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autog... | bsd-2-clause |
PhE/dask | dask/dataframe/tests/test_io.py | 1 | 20905 | import gzip
import pandas as pd
import numpy as np
import pandas.util.testing as tm
import os
import dask
from operator import getitem
import pytest
from toolz import valmap
import tempfile
import shutil
from time import sleep
import dask.array as da
import dask.dataframe as dd
from dask.dataframe.io import (read_csv,... | bsd-3-clause |
bluescarni/hyperion | hyperion/dust/optical_properties.py | 2 | 21253 | from __future__ import print_function, division
import hashlib
import numpy as np
from astropy.table import Table, Column
from ..util.integrate import integrate_loglog, integrate_linlog_subset
from ..util.interpolate import interp1d_fast, interp1d_fast_loglog, \
interp1d_fast_li... | bsd-2-clause |
cbertinato/pandas | pandas/tests/io/parser/test_multi_thread.py | 1 | 3541 | """
Tests multithreading behaviour for reading and
parsing files for each parser defined in parsers.py
"""
from io import BytesIO
from multiprocessing.pool import ThreadPool
import numpy as np
import pandas as pd
from pandas import DataFrame
import pandas.util.testing as tm
def _construct_dataframe(num_rows):
"... | bsd-3-clause |
frank-tancf/scikit-learn | sklearn/ensemble/tests/test_gradient_boosting.py | 43 | 39945 | """
Testing for the gradient boosting module (sklearn.ensemble.gradient_boosting).
"""
import warnings
import numpy as np
from itertools import product
from scipy.sparse import csr_matrix
from scipy.sparse import csc_matrix
from scipy.sparse import coo_matrix
from sklearn import datasets
from sklearn.base import clo... | bsd-3-clause |
rajat1994/scikit-learn | sklearn/utils/tests/test_random.py | 230 | 7344 | from __future__ import division
import numpy as np
import scipy.sparse as sp
from scipy.misc import comb as combinations
from numpy.testing import assert_array_almost_equal
from sklearn.utils.random import sample_without_replacement
from sklearn.utils.random import random_choice_csc
from sklearn.utils.testing import ... | bsd-3-clause |
datapythonista/pandas | pandas/tests/frame/methods/test_rename_axis.py | 4 | 4091 | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
)
import pandas._testing as tm
class TestDataFrameRenameAxis:
def test_rename_axis_inplace(self, float_frame):
# GH#15704
expected = float_frame.rename_axis("foo")
result = float_frame.copy()
... | bsd-3-clause |
flightgong/scikit-learn | sklearn/covariance/__init__.py | 389 | 1157 | """
The :mod:`sklearn.covariance` module includes methods and algorithms to
robustly estimate the covariance of features given a set of points. The
precision matrix defined as the inverse of the covariance is also estimated.
Covariance estimation is closely related to the theory of Gaussian Graphical
Models.
"""
from ... | bsd-3-clause |
prasunroypr/digit-recognizer | source/make.py | 1 | 5849 | ################################################################################
"""
Multi-Class Classifier for Digit Recognition
Created on Wed Jun 01 00:00:00 2016
@author: Prasun Roy
@e-mail: prasunroy.pr@gmail.com
"""
################################################################################
# import modu... | gpl-3.0 |
timqian/sms-tools | lectures/7-Sinusoidal-plus-residual-model/plots-code/envelope-approx.py | 22 | 2887 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import hamming, hanning, triang, blackmanharris, resample
import math
import sys, os, time
from scipy.fftpack import fft, ifft
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), '../../../software/models/'))
import utilFunction... | agpl-3.0 |
shikhardb/scikit-learn | benchmarks/bench_covertype.py | 154 | 7296 | """
===========================
Covertype dataset benchmark
===========================
Benchmark stochastic gradient descent (SGD), Liblinear, and Naive Bayes, CART
(decision tree), RandomForest and Extra-Trees on the forest covertype dataset
of Blackard, Jock, and Dean [1]. The dataset comprises 581,012 samples. It ... | bsd-3-clause |
ClimbsRocks/scikit-learn | sklearn/decomposition/tests/test_truncated_svd.py | 73 | 6086 | """Test truncated SVD transformer."""
import numpy as np
import scipy.sparse as sp
from sklearn.decomposition import TruncatedSVD
from sklearn.utils import check_random_state
from sklearn.utils.testing import (assert_array_almost_equal, assert_equal,
assert_raises, assert_greater,
... | bsd-3-clause |
ky822/scikit-learn | sklearn/linear_model/omp.py | 10 | 30440 | """Orthogonal matching pursuit algorithms
"""
# Author: Vlad Niculae
#
# License: BSD 3 clause
import warnings
from distutils.version import LooseVersion
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 RegressorM... | bsd-3-clause |
philipan/paparazzi | sw/tools/tcp_aircraft_server/phoenix/__init__.py | 86 | 4470 | #Copyright 2014, Antoine Drouin
"""
Phoenix is a Python library for interacting with Paparazzi
"""
import math
"""
Unit convertions
"""
def rad_of_deg(d): return d/180.*math.pi
def deg_of_rad(r): return r*180./math.pi
def rps_of_rpm(r): return r*2.*math.pi/60.
def rpm_of_rps(r): return r/2./math.pi*60.
def m_of_i... | gpl-2.0 |
mattyowl/sourcery | sourcery/sourceBrowser.py | 1 | 174086 | """
Copyright 2014-2018 Matt Hilton (matt.hilton@mykolab.com)
This file is part of Sourcery.
Sourcery is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
... | gpl-3.0 |
samuel1208/scikit-learn | sklearn/utils/tests/test_random.py | 230 | 7344 | from __future__ import division
import numpy as np
import scipy.sparse as sp
from scipy.misc import comb as combinations
from numpy.testing import assert_array_almost_equal
from sklearn.utils.random import sample_without_replacement
from sklearn.utils.random import random_choice_csc
from sklearn.utils.testing import ... | bsd-3-clause |
devinplatt/extraction_worker | lib/create_examples.py | 1 | 4560 | # This module contains functions to join/split mel spectrum features into
# input examples for a model.
import numpy as np
import librosa
import sklearn
import sklearn.cluster
import sklearn.pipeline
import csv
from collections import defaultdict
import random
import joblib
import os
from extraction_worker.lib.core i... | mit |
josenavas/american-gut-web | amgut/lib/locale_data/british_gut.py | 1 | 152839 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
from amgut.lib.config_manager import AMGUT_CONFIG
# -----------------------------------------------------------------------------
# Copyright (c) 2014--, The American Gut Project Development Team.
#
# Distributed under the terms of the BSD 3... | bsd-3-clause |
mojoboss/scikit-learn | examples/exercises/plot_cv_digits.py | 232 | 1206 | """
=============================================
Cross-validation on Digits Dataset Exercise
=============================================
A tutorial exercise using Cross-validation with an SVM on the Digits dataset.
This exercise is used in the :ref:`cv_generators_tut` part of the
:ref:`model_selection_tut` section... | bsd-3-clause |
deapplegate/wtgpipeline | cutout_bpz_backup.py | 1 | 26030 | import math, re, sys
import pylab # matplotlib
#def mkstellarcolorplot():
def filt_num(x):
filter_order = ['u','B','g','V','r','R','i','I','z','Z','J','H','K']
x = x.replace('SUBARU','').replac... | mit |
mikebenfield/scikit-learn | sklearn/setup.py | 69 | 3201 | import os
from os.path import join
import warnings
from sklearn._build_utils import maybe_cythonize_extensions
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info, BlasNotFoundError
import numpy
lib... | bsd-3-clause |
tommyjasmin/polar2grid | py/polar2grid/setup.py | 1 | 2649 | #!/usr/bin/env python
# encoding: utf-8
"""Script for installing the polar2grid package.
See http://packages.python.org/distribute/ for use details.
Copyright (C) 2013 Space Science and Engineering Center (SSEC),
University of Wisconsin-Madison.
This program is free software: you can redistribute it and/or modif... | gpl-3.0 |
waterponey/scikit-learn | examples/manifold/plot_swissroll.py | 330 | 1446 | """
===================================
Swiss Roll reduction with LLE
===================================
An illustration of Swiss Roll reduction
with locally linear embedding
"""
# Author: Fabian Pedregosa -- <fabian.pedregosa@inria.fr>
# License: BSD 3 clause (C) INRIA 2011
print(__doc__)
import matplotlib.pyplot... | bsd-3-clause |
sunchaoatmo/cplot | cseof.py | 1 | 4345 | #!/usr/bin/env python
from __future__ import division
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
import seaborn as sns
from constant import *
from collections import namedtuple
from cstoolkit import cwrfplot
from plotse... | gpl-3.0 |
davidastephens/pandas-accounting | pandas_accounting/core/financials.py | 1 | 2004 | """
Financial statements
"""
from pandas_accounting.core.account import Account
class BaseStatement(object):
def __init__(self, periods, data = None):
self.periods = periods
if data:
self._data = data
else:
self._data = {}
def __getitem__(self, key):
ret... | mit |
fmacias64/spyre | examples/d3_example.py | 3 | 2432 | # requires d3py library
# only tested with python 2.7
from spyre import server
import numpy as np
import pandas as pd
import d3py
import matplotlib.pyplot as plt
class FruitInventoryApp(server.App):
title = "Spyre Example With d3"
inputs = [{ "input_type":'dropdown',
"label": 'Type',
"options" : [ {"label... | mit |
cybernet14/scikit-learn | examples/classification/plot_digits_classification.py | 289 | 2397 | """
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | bsd-3-clause |
akrherz/iem | scripts/ingestors/soilm_ingest.py | 1 | 22328 | """
LEGACY ISU SOIL MOISTURE INGEST!
Run from RUN_10_AFTER.sh
"""
# stdlib
import datetime
import os
import sys
import subprocess
import tempfile
import io
# Third party
import psycopg2
import pytz
import numpy as np
import pandas as pd
from metpy.units import units
from metpy.calc import dewpoint_from_relative_... | mit |
seakers/daphne_brain | EDL/data/model.py | 1 | 15851 | from sqlalchemy import create_engine, Column, Integer, Float, String, DateTime, Time, Enum, ForeignKey, Table, \
CheckConstraint, ARRAY
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.engine.url import URL
import daphne_brain.settings as settings
# ... | mit |
r-mart/scikit-learn | examples/neighbors/plot_approximate_nearest_neighbors_hyperparameters.py | 227 | 5170 | """
=================================================
Hyper-parameters of Approximate Nearest Neighbors
=================================================
This example demonstrates the behaviour of the
accuracy of the nearest neighbor queries of Locality Sensitive Hashing
Forest as the number of candidates and the numb... | bsd-3-clause |
mlperf/training_results_v0.7 | Google/benchmarks/minigo/implementations/minigo-research-TF-tpu-v4-128/oneoffs/training_curve.py | 8 | 5964 | # Copyright 2018 Google LLC
#
# 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 |
great-expectations/great_expectations | great_expectations/expectations/core/expect_column_min_to_be_between.py | 1 | 9139 | from typing import Dict, List, Optional, Union
import numpy as np
import pandas as pd
from great_expectations.core.batch import Batch
from great_expectations.core.expectation_configuration import ExpectationConfiguration
from great_expectations.execution_engine import ExecutionEngine, PandasExecutionEngine
from great... | apache-2.0 |
huaxz1986/git_book | chapters/PreProcessing/standardize.py | 1 | 1797 | # -*- coding: utf-8 -*-
"""
数据预处理
~~~~~~~~~~~~~~~~
数据标准化
:copyright: (c) 2016 by the huaxz1986.
:license: lgpl-3.0, see LICENSE for more details.
"""
from sklearn.preprocessing import MinMaxScaler,MaxAbsScaler,StandardScaler
def test_MinMaxScaler():
'''
测试 MinMaxScaler 的用法
:return: ... | gpl-3.0 |
mutirri/bokeh | bokeh/cli/utils.py | 42 | 8119 | from __future__ import absolute_import, print_function
from collections import OrderedDict
from six.moves.urllib import request as urllib2
import io
import pandas as pd
from .. import charts
from . import help_messages as hm
def keep_source_input_sync(filepath, callback, start=0):
""" Monitor file at filepath ch... | bsd-3-clause |
fatcloud/PyCV-time | experiments/undistort/common.py | 23 | 6299 | #!/usr/bin/env python
'''
This module contais some common routines used by other samples.
'''
import numpy as np
import cv2
import os
from contextlib import contextmanager
import itertools as it
image_extensions = ['.bmp', '.jpg', '.jpeg', '.png', '.tif', '.tiff', '.pbm', '.pgm', '.ppm']
class Bunch(object):
de... | mit |
cl4rke/scikit-learn | examples/plot_kernel_ridge_regression.py | 230 | 6222 | """
=============================================
Comparison of kernel ridge regression and SVR
=============================================
Both kernel ridge regression (KRR) and SVR learn a non-linear function by
employing the kernel trick, i.e., they learn a linear function in the space
induced by the respective k... | bsd-3-clause |
EconomicSL/housing-model | src/main/resources/calibration/code/bak/temp.py | 4 | 3241 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import pandas as pd
import matplotlib.pyplot as plt
######################################################################
class QuarterlyTable(pd.Series):
'Representation of a column of numbers at quarterly time intervals'
offset ... | mit |
bhargav/scikit-learn | benchmarks/bench_plot_neighbors.py | 287 | 6433 | """
Plot the scaling of the nearest neighbors algorithms with k, D, and N
"""
from time import time
import numpy as np
import pylab as pl
from matplotlib import ticker
from sklearn import neighbors, datasets
def get_data(N, D, dataset='dense'):
if dataset == 'dense':
np.random.seed(0)
return np.... | bsd-3-clause |
ngoix/OCRF | sklearn/linear_model/bayes.py | 50 | 16145 | """
Various bayesian regression
"""
from __future__ import print_function
# Authors: V. Michel, F. Pedregosa, A. Gramfort
# License: BSD 3 clause
from math import log
import numpy as np
from scipy import linalg
from .base import LinearModel
from ..base import RegressorMixin
from ..utils.extmath import fast_logdet, p... | bsd-3-clause |
pulinagrawal/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/backends/backend_svg.py | 69 | 23593 | from __future__ import division
import os, codecs, base64, tempfile, urllib, gzip, cStringIO
try:
from hashlib import md5
except ImportError:
from md5 import md5 #Deprecated in 2.5
from matplotlib import verbose, __version__, rcParams
from matplotlib.backend_bases import RendererBase, GraphicsContextBase,\
... | agpl-3.0 |
NunoEdgarGub1/scikit-learn | sklearn/utils/multiclass.py | 92 | 13986 | # Author: Arnaud Joly, Joel Nothman, Hamzeh Alsalhi
#
# License: BSD 3 clause
"""
Multi-class / multi-label utility function
==========================================
"""
from __future__ import division
from collections import Sequence
from itertools import chain
import warnings
from scipy.sparse import issparse
fro... | bsd-3-clause |
joshloyal/scikit-learn | sklearn/utils/tests/test_class_weight.py | 55 | 9891 | import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_blobs
from sklearn.utils.class_weight import compute_class_weight
from sklearn.utils.class_weight import compute_sample_weight
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testin... | bsd-3-clause |
berkeley-stat159/project-alpha | final/image_scripts/parameter_selection_plots.py | 1 | 9362 | """
Parameter selection for Benjamini Hochberg Analysis and T analysis.
"""
from __future__ import absolute_import, division, print_function
import numpy as np
import matplotlib.pyplot as plt
import sys
import itertools
import nibabel as nib
import os
name="sub001"
#set up paths
project_path = "../../"
pa... | bsd-3-clause |
btallman/incubator-airflow | airflow/hooks/hive_hooks.py | 22 | 27917 | # -*- coding: utf-8 -*-
#
# 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, software
... | apache-2.0 |
dpace1/caterpillar-tube-pricing | utils_xgb.py | 1 | 3698 | from utils import *
from hyperopt import hp
from hyperopt import fmin, tpe, hp, STATUS_OK, Trials
import xgboost as xgb
from sklearn import cross_validation
def split_formatter(folds, train, labels, missing = 0.0):
"""Returns a list of train-val tuples for a given folds iterator"""
out = []
for ind_train, ind_val... | mit |
changhiskhan/poseidon | poseidon/ssh.py | 1 | 9107 | from __future__ import print_function
import os
import getpass
from cStringIO import StringIO
try:
import paramiko
except ImportError:
print("Please install paramiko to use SSH connection")
raise
# make these optional so not everyone has to build C binaries
try:
import pandas as pd
if pd.__version... | mit |
wasit7/cs426 | code/week07_textPrediction/parallel_forest/sctree.py | 1 | 3539 | """
GNU GENERAL PUBLIC LICENSE Version 2
Created on Thu Oct 16 17:33:47 2014
@author: Wasit
"""
from scmaster import mnode
import numpy as np
class tree(mnode):
def settree(self,root=mnode(0,0,0)):
self.theta=root.theta #vector array
self.tau=root.tau #scalar
self.H=root.H #scalar
... | mit |
schaunwheeler/military_stat_scraper | Python/scraper_military_times_citations.py | 1 | 4215 | # -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------#
# Pull Military Times Citation/Awards Data
#-----------------------------------------------------------------------------#
# import modules and define custom functions
import pandas
import scrapy.selector
import url... | mit |
alvaroing12/CADL | session-3/libs/utils.py | 4 | 21361 | """Utilities used in the Kadenze Academy Course on Deep Learning w/ Tensorflow.
Creative Applications of Deep Learning w/ Tensorflow.
Kadenze, Inc.
Parag K. Mital
Copyright Parag K. Mital, June 2016.
"""
from __future__ import print_function
import matplotlib.pyplot as plt
import tensorflow as tf
import urllib
import... | apache-2.0 |
nuclear-wizard/moose | python/peacock/tests/postprocessor_tab/test_VectorPostprocessorSelectPlugin.py | 12 | 4345 | #!/usr/bin/env python3
#* This file is part of the MOOSE framework
#* https://www.mooseframework.org
#*
#* All rights reserved, see COPYRIGHT for full restrictions
#* https://github.com/idaholab/moose/blob/master/COPYRIGHT
#*
#* Licensed under LGPL 2.1, please see LICENSE for details
#* https://www.gnu.org/licenses/lgp... | lgpl-2.1 |
vshtanko/scikit-learn | sklearn/tests/test_metaestimators.py | 226 | 4954 | """Common tests for metaestimators"""
import functools
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.externals.six import iterkeys
from sklearn.datasets import make_classification
from sklearn.utils.testing import assert_true, assert_false, assert_raises
from sklearn.pipeline import Pipeline... | bsd-3-clause |
hunse/deepnet | deepnet/autoencoder/autoencoder.py | 1 | 11030 |
import collections
import os
import re
import subprocess
import sys
import time
import numpy as np
import numpy.random as npr
import scipy as sp
import matplotlib.pyplot as plt
import theano
import theano.tensor as T
import theano.sandbox.rng_mrg
from ..base import CacheObject
from ..functions.functions import Log... | mit |
stczhc/neupy | examples/gd/gd_algorithms_visualization.py | 1 | 3630 | from functools import partial
import theano.tensor as T
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from neupy import algorithms, layers, environment
from plots import draw_countour, weight_quiver
environment.reproducible()
input_data = np.array([
[0.9, 0.3],
[0... | mit |
ryandougherty/mwa-capstone | MWA_Tools/build/matplotlib/lib/mpl_examples/user_interfaces/embedding_in_qt4.py | 3 | 4052 | #!/usr/bin/env python
# embedding_in_qt4.py --- Simple Qt4 application embedding matplotlib canvases
#
# Copyright (C) 2005 Florent Rougon
# 2006 Darren Dale
#
# This file is an example program for matplotlib. It may be used and
# modified with no restriction; raw copies as well as modified versions
# ma... | gpl-2.0 |
shyamalschandra/scikit-learn | examples/ensemble/plot_forest_importances.py | 168 | 1793 | """
=========================================
Feature importances with forests of trees
=========================================
This examples shows the use of forests of trees to evaluate the importance of
features on an artificial classification task. The red bars are the feature
importances of the forest, along wi... | bsd-3-clause |
PyOCL/pyopencl-examples | 4-3-expand/clustering.py | 1 | 5629 | #!/usr/bin/python3
import os
import time
import random
import numpy
import pyopencl as cl
import pyopencl.array
def plot_grouping_result(point_cids, group_ids, point_info):
assert len(point_cids) != 0
import matplotlib.pyplot as plt
markers = ['p', '*', '+', 'x', 'd', 'o', 'v', 's', 'h']
colors = [(ran... | mit |
khkaminska/scikit-learn | examples/preprocessing/plot_function_transformer.py | 161 | 1949 | """
=========================================================
Using FunctionTransformer to select columns
=========================================================
Shows how to use a function transformer in a pipeline. If you know your
dataset's first principle component is irrelevant for a classification task,
you ca... | bsd-3-clause |
louispotok/pandas | pandas/conftest.py | 1 | 6143 | import pytest
import numpy as np
import pandas as pd
from pandas.compat import PY3
import pandas.util._test_decorators as td
def pytest_addoption(parser):
parser.addoption("--skip-slow", action="store_true",
help="skip slow tests")
parser.addoption("--skip-network", action="store_true",
... | bsd-3-clause |
nipy/PySurfer | examples/plot_label.py | 2 | 1518 | """
Display ROI Labels
==================
Using PySurfer you can plot Freesurfer cortical labels on the surface
with a large amount of control over the visual representation.
"""
import os
from surfer import Brain
print(__doc__)
subject_id = "fsaverage"
hemi = "lh"
surf = "smoothwm"
brain = Brain(subject_id, hemi, ... | bsd-3-clause |
ndingwall/scikit-learn | sklearn/ensemble/_gb.py | 2 | 72022 | """Gradient Boosted Regression Trees.
This module contains methods for fitting gradient boosted regression trees for
both classification and regression.
The module structure is the following:
- The ``BaseGradientBoosting`` base class implements a common ``fit`` method
for all the estimators in the module. Regressi... | bsd-3-clause |
MalloyPower/python-compliance | esem-paper-apr-2017/analysis-code/promise_versions.py | 1 | 3275 | # These are the Qualitas system versions as used in the Promise paper.
# In most cases I got these from the spreadsheet, but for some (noted below)
# this was blank, and I had to get them from Fig 1 of the APSEC 2015 paper.
# In some cases the tag was slightly incorrect, so I edited it.
import os
import sys
# Uses G... | mit |
LiaoPan/scikit-learn | sklearn/linear_model/tests/test_base.py | 120 | 10082 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.linear_model.... | bsd-3-clause |
dungvtdev/upsbayescpm | bayespy/demos/lssm_sd.py | 5 | 10707 | ################################################################################
# Copyright (C) 2014 Jaakko Luttinen
#
# This file is licensed under the MIT License.
################################################################################
"""
Demonstrate the linear state-space model with switching dynamics.
... | mit |
jayflo/scikit-learn | examples/linear_model/plot_ridge_path.py | 254 | 1655 | """
===========================================================
Plot Ridge coefficients as a function of the regularization
===========================================================
Shows the effect of collinearity in the coefficients of an estimator.
.. currentmodule:: sklearn.linear_model
:class:`Ridge` Regressi... | bsd-3-clause |
ua-snap/downscale | snap_scripts/OLD_SCRIPTS/model_diffs_metrics_epscor_se_TESTNEW_cru.py | 1 | 12552 | # maybe read in the baseline
# then loop through reads of all models...
# perform the diff
# then groupby month and compute means / stdev
def sort_files( files, split_on='_', elem_month=-2, elem_year=-1 ):
'''
sort a list of files properly using the month and year parsed
from the filename. This is useful with SNAP... | mit |
wangqingbaidu/aliMusic | analysis/tempPlot.py | 1 | 1243 | # -*- coding: UTF-8 -*-
'''
Authorized by vlon Jang
Created on Jun 13, 2016
Email:zhangzhiwei@ict.ac.cn
From Institute of Computing Technology
All Rights Reserved.
'''
import pandas as pd
import numpy as np
import pymysql
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
... | gpl-3.0 |
Gabriel-p/photpy | tasks/fitstats.py | 2 | 17680 |
import read_pars_file as rpf
import os
from os.path import exists, join, isfile
from pathlib2 import Path
import sys
# from operator import itemgetter
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
import matplotlib.gridspec as gridspec
from matplotlib.ticker import NullForm... | gpl-3.0 |
Gillu13/scipy | scipy/integrate/odepack.py | 62 | 9420 | # Author: Travis Oliphant
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
... | bsd-3-clause |
jmschrei/scikit-learn | examples/linear_model/plot_sgd_separating_hyperplane.py | 260 | 1219 | """
=========================================
SGD: Maximum margin separating hyperplane
=========================================
Plot the maximum margin separating hyperplane within a two-class
separable dataset using a linear Support Vector Machines classifier
trained using SGD.
"""
print(__doc__)
import numpy as n... | bsd-3-clause |
abidrahmank/MyRoughWork | scikit_roughworks/hist_backprojection_implementation.py | 1 | 1110 | import cv2
import numpy as np
from matplotlib import pyplot as plt
#roi is the object or region of object we need to find
roi = cv2.imread('rose_red.png')
hsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)
#target is the image we search in
target = cv2.imread('rose.png')
hsvt = cv2.cvtColor(target,cv2.COLOR_BGR2HSV)
M = cv2.... | mit |
gfyoung/pandas | pandas/tests/io/parser/conftest.py | 1 | 4997 | import os
from typing import List, Optional
import pytest
from pandas import read_csv, read_table
class BaseParser:
engine: Optional[str] = None
low_memory = True
float_precision_choices: List[Optional[str]] = []
def update_kwargs(self, kwargs):
kwargs = kwargs.copy()
kwargs.update(... | bsd-3-clause |
mvdroest/RTLSDR-Scanner | src/dialogs_tools.py | 1 | 18475 | #
# rtlsdr_scan
#
# http://eartoearoak.com/software/rtlsdr-scanner
#
# Copyright 2012 - 2015 Al Brown
#
# A frequency scanning GUI for the OsmoSDR rtl-sdr library at
# http://sdr.osmocom.org/trac/wiki/rtl-sdr
#
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Gene... | gpl-3.0 |
ocefpaf/cartopy | lib/cartopy/examples/logo.py | 6 | 1535 | """
Cartopy Logo
------------
The actual code to produce cartopy's logo.
"""
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import matplotlib.textpath
import matplotlib.patches
from matplotlib.font_manager import FontProperties
import numpy as np
def main():
fig = plt.figure(figsize=[12, 6])
ax ... | lgpl-3.0 |
roystgnr/libmesh | doc/statistics/libmesh_citations_monthly.py | 2 | 4602 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rcParams
import datetime
from matplotlib.dates import date2num, num2date
rcParams['font.family'] = 'DejaVu Sans'
rcParams['font.size'] = 13
rcParams['font.serif'] = ['Computer Modern Roman']
rcParams['text.usetex'] = True
... | lgpl-2.1 |
mehdidc/scikit-learn | sklearn/feature_selection/tests/test_chi2.py | 5 | 2418 | """
Tests for chi2, currently the only feature selection function designed
specifically to work with sparse matrices.
"""
import numpy as np
from scipy.sparse import coo_matrix, csr_matrix
import scipy.stats
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.feature_selection.univariate_selection im... | bsd-3-clause |
rosswhitfield/mantid | qt/applications/workbench/workbench/plotting/test/test_utility.py | 3 | 4292 | # Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2017 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 |
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