Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
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cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/manifold/tests/test_mds.py | import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.manifold import mds
from sklearn.utils.testing import assert_raises
def test_smacof():
# test metric smacof using the data of "Modern Multidimensional Scaling",
# Borg & Groenen, p 154
sim = np.array([[0, 5, 3, 4],
... | 1,873 | 29.225806 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/manifold/tests/test_spectral_embedding.py | import numpy as np
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from scipy import sparse
from scipy.linalg import eigh
from sklearn.manifold.spectral_embedding_ import SpectralEmbedding
from sklearn.manifold.spectral_embedding_ import _graph_is_connected
from sklear... | 11,104 | 41.064394 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/manifold/tests/test_isomap.py | from itertools import product
import numpy as np
from numpy.testing import (assert_almost_equal, assert_array_almost_equal,
assert_equal)
from sklearn import datasets
from sklearn import manifold
from sklearn import neighbors
from sklearn import pipeline
from sklearn import preprocessing
fro... | 4,301 | 33.416 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/manifold/tests/test_locally_linear.py | from itertools import product
import numpy as np
from numpy.testing import assert_almost_equal, assert_array_almost_equal
from scipy import linalg
from sklearn import neighbors, manifold
from sklearn.manifold.locally_linear import barycenter_kneighbors_graph
from sklearn.utils.testing import assert_less
from sklearn.... | 5,600 | 37.102041 | 76 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/manifold/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/semi_supervised/label_propagation.py | # coding=utf8
"""
Label propagation in the context of this module refers to a set of
semi-supervised classification algorithms. At a high level, these algorithms
work by forming a fully-connected graph between all points given and solving
for the steady-state distribution of labels at each point.
These algorithms perf... | 18,811 | 34.832381 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/semi_supervised/__init__.py | """
The :mod:`sklearn.semi_supervised` module implements semi-supervised learning
algorithms. These algorithms utilized small amounts of labeled data and large
amounts of unlabeled data for classification tasks. This module includes Label
Propagation.
"""
from .label_propagation import LabelPropagation, LabelSpreading... | 371 | 32.818182 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/semi_supervised/tests/test_label_propagation.py | """ test the label propagation module """
import numpy as np
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_warns
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_no_warnings
from sklearn.semi_supervised import label_propagation
from skl... | 6,187 | 35.615385 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/semi_supervised/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/_build_utils/__init__.py | """
Utilities useful during the build.
"""
# author: Andy Mueller, Gael Varoquaux
# license: BSD
from __future__ import division, print_function, absolute_import
import os
from distutils.version import LooseVersion
from numpy.distutils.system_info import get_info
DEFAULT_ROOT = 'sklearn'
CYTHON_MIN_VERSION = '0.23... | 2,644 | 30.117647 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/_validation.py | """
The :mod:`sklearn.model_selection._validation` module includes classes and
functions to validate the model.
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Olivier Grisel <olivier.grisel@ensta.org>
# Raghav RV <rvraghav93@gma... | 53,401 | 38.645137 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/_search.py | """
The :mod:`sklearn.model_selection._search` includes utilities to fine-tune the
parameters of an estimator.
"""
from __future__ import print_function
from __future__ import division
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>,
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Andreas... | 58,290 | 41.331881 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/_split.py | """
The :mod:`sklearn.model_selection._split` module includes classes and
functions to split the data based on a preset strategy.
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>,
# Gael Varoquaux <gael.varoquaux@normalesup.org>,
# Olivier Grisel <olivier.grisel@ensta.org>
# Ragha... | 77,125 | 35.796756 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/__init__.py | from ._split import BaseCrossValidator
from ._split import KFold
from ._split import GroupKFold
from ._split import StratifiedKFold
from ._split import TimeSeriesSplit
from ._split import LeaveOneGroupOut
from ._split import LeaveOneOut
from ._split import LeavePGroupsOut
from ._split import LeavePOut
from ._split impo... | 1,868 | 30.15 | 47 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/tests/test_split.py | """Test the split module"""
from __future__ import division
import warnings
import numpy as np
from scipy.sparse import coo_matrix, csc_matrix, csr_matrix
from scipy import stats
from itertools import combinations
from itertools import combinations_with_replacement
from sklearn.utils.testing import assert_true
from s... | 57,285 | 38.34478 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/tests/test_search.py | """Test the search module"""
from collections import Iterable, Sized
from sklearn.externals.six.moves import cStringIO as StringIO
from sklearn.externals.six.moves import xrange
from sklearn.externals.joblib._compat import PY3_OR_LATER
from itertools import chain, product
import pickle
import sys
from types import Gen... | 60,512 | 38.732764 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/tests/common.py | """
Common utilities for testing model selection.
"""
import numpy as np
from sklearn.model_selection import KFold
class OneTimeSplitter:
"""A wrapper to make KFold single entry cv iterator"""
def __init__(self, n_splits=4, n_samples=99):
self.n_splits = n_splits
self.n_samples = n_samples
... | 640 | 25.708333 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/model_selection/tests/test_validation.py | """Test the validation module"""
from __future__ import division
import sys
import warnings
import tempfile
import os
from time import sleep
import numpy as np
from scipy.sparse import coo_matrix, csr_matrix
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.uti... | 57,672 | 39.500702 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/export.py | """
This module defines export functions for decision trees.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Dawe <noel@dawe.me>
# Satrajit Gosh <satrajit.ghosh@gmail.com>
# Trevor... | 18,313 | 37.23382 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/tree.py | """
This module gathers tree-based methods, including decision, regression and
randomized trees. Single and multi-output problems are both handled.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Da... | 60,518 | 40.309898 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/setup.py | import os
import numpy
from numpy.distutils.misc_util import Configuration
def configuration(parent_package="", top_path=None):
config = Configuration("tree", parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension("_tree",
... | 1,420 | 34.525 | 60 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/__init__.py | """
The :mod:`sklearn.tree` module includes decision tree-based models for
classification and regression.
"""
from .tree import DecisionTreeClassifier
from .tree import DecisionTreeRegressor
from .tree import ExtraTreeClassifier
from .tree import ExtraTreeRegressor
from .export import export_graphviz
__all__ = ["Deci... | 441 | 30.571429 | 74 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/tests/test_tree.py | """
Testing for the tree module (sklearn.tree).
"""
import copy
import pickle
from functools import partial
from itertools import product
import struct
import numpy as np
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
from sklearn.random_projection import s... | 64,758 | 36.650581 | 85 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/tests/test_export.py | """
Testing for export functions of decision trees (sklearn.tree.export).
"""
from re import finditer, search
from numpy.random import RandomState
from sklearn.base import is_classifier
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from sklearn.ensemble import GradientBoostingClassifier
from... | 12,894 | 40.866883 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/tree/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/ransac.py | # coding: utf-8
# Author: Johannes Schönberger
#
# License: BSD 3 clause
import numpy as np
import warnings
from ..base import BaseEstimator, MetaEstimatorMixin, RegressorMixin, clone
from ..utils import check_random_state, check_array, check_consistent_length
from ..utils.random import sample_without_replacement
fr... | 19,389 | 37.472222 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/base.py | """
Generalized Linear models.
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Vincent Michel <vincent.michel@inria.fr>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Mathieu Blond... | 21,031 | 35.769231 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/logistic.py | """
Logistic Regression
"""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Fabian Pedregosa <f@bianp.net>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Manoj Kumar <manojkumarsivaraj334@gmail.com>
# Lars Buitinck
# Simon Wu <s8wu@uwaterloo.ca>
# ... | 70,480 | 38.463046 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/passive_aggressive.py | # Authors: Rob Zinkov, Mathieu Blondel
# License: BSD 3 clause
from .stochastic_gradient import BaseSGDClassifier
from .stochastic_gradient import BaseSGDRegressor
from .stochastic_gradient import DEFAULT_EPSILON
class PassiveAggressiveClassifier(BaseSGDClassifier):
"""Passive Aggressive Classifier
Read mor... | 15,323 | 35.925301 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/ridge.py | """
Ridge regression
"""
# Author: Mathieu Blondel <mathieu@mblondel.org>
# Reuben Fletcher-Costin <reuben.fletchercostin@gmail.com>
# Fabian Pedregosa <fabian@fseoane.net>
# Michael Eickenberg <michael.eickenberg@nsup.org>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
impor... | 52,900 | 37.642075 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/setup.py | import os
from os.path import join
import numpy
from sklearn._build_utils import get_blas_info
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linear_model', parent_package, top_path)
cblas_libs, blas_info = get_blas_info... | 1,719 | 34.102041 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/bayes.py | """
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 scipy.linalg import pinvh
from .base import LinearModel
from ..base import RegressorMixin
from ..util... | 19,750 | 35.848881 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/huber.py | # Authors: Manoj Kumar mks542@nyu.edu
# License: BSD 3 clause
import numpy as np
from scipy import optimize, sparse
from ..base import BaseEstimator, RegressorMixin
from .base import LinearModel
from ..utils import check_X_y
from ..utils import check_consistent_length
from ..utils import axis0_safe_slice
from ..util... | 10,265 | 34.770035 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/sag.py | """Solvers for Ridge and LogisticRegression using SAG algorithm"""
# Authors: Tom Dupre la Tour <tom.dupre-la-tour@m4x.org>
#
# License: BSD 3 clause
import warnings
import numpy as np
from .base import make_dataset
from .sag_fast import sag
from ..exceptions import ConvergenceWarning
from ..utils import check_arra... | 12,959 | 36.894737 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/coordinate_descent.py | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Gael Varoquaux <gael.varoquaux@inria.fr>
#
# License: BSD 3 clause
import sys
import warnings
from abc import ABCMeta, abstractmethod
import n... | 84,453 | 37.09382 | 81 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/least_angle.py | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
from __future__ import print_function
# Author: Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Gael Varoquaux
#
# License: BSD 3 ... | 58,438 | 37.472021 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/randomized_l1.py | """
Randomized Lasso/Logistic: feature selection based on Lasso and
sparse Logistic Regression
"""
# Author: Gael Varoquaux, Alexandre Gramfort
#
# License: BSD 3 clause
import warnings
import itertools
from abc import ABCMeta, abstractmethod
import numpy as np
from scipy.sparse import issparse
from scipy import spa... | 25,868 | 37.959337 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/theil_sen.py | # -*- coding: utf-8 -*-
"""
A Theil-Sen Estimator for Multiple Linear Regression Model
"""
# Author: Florian Wilhelm <florian.wilhelm@gmail.com>
#
# License: BSD 3 clause
from __future__ import division, print_function, absolute_import
import warnings
from itertools import combinations
import numpy as np
from scipy... | 14,493 | 36.164103 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/__init__.py | """
The :mod:`sklearn.linear_model` module implements generalized linear models. It
includes Ridge regression, Bayesian Regression, Lasso and Elastic Net
estimators computed with Least Angle Regression and coordinate descent. It also
implements Stochastic Gradient Descent related algorithms.
"""
# See http://scikit-le... | 3,161 | 35.344828 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/omp.py | """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... | 31,718 | 35.416762 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/stochastic_gradient.py | # Authors: Peter Prettenhofer <peter.prettenhofer@gmail.com> (main author)
# Mathieu Blondel (partial_fit support)
#
# License: BSD 3 clause
"""Classification and regression using Stochastic Gradient Descent (SGD)."""
import numpy as np
import warnings
from abc import ABCMeta, abstractmethod
from ..external... | 55,745 | 40.477679 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/perceptron.py | # Author: Mathieu Blondel
# License: BSD 3 clause
from .stochastic_gradient import BaseSGDClassifier
class Perceptron(BaseSGDClassifier):
"""Perceptron
Read more in the :ref:`User Guide <perceptron>`.
Parameters
----------
penalty : None, 'l2' or 'l1' or 'elasticnet'
The penalty (aka r... | 4,995 | 36.56391 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_sag.py | # Authors: Danny Sullivan <dbsullivan23@gmail.com>
# Tom Dupre la Tour <tom.dupre-la-tour@m4x.org>
#
# License: BSD 3 clause
import math
import numpy as np
import scipy.sparse as sp
from sklearn.linear_model.sag import get_auto_step_size
from sklearn.linear_model.sag_fast import _multinomial_grad_loss_all_sa... | 30,671 | 36.088271 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_theil_sen.py | """
Testing for Theil-Sen module (sklearn.linear_model.theil_sen)
"""
# Author: Florian Wilhelm <florian.wilhelm@gmail.com>
# License: BSD 3 clause
from __future__ import division, print_function, absolute_import
import os
import sys
from contextlib import contextmanager
import numpy as np
from numpy.testing import ... | 9,939 | 33.634146 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_sgd.py | import pickle
import unittest
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing ... | 50,983 | 36.241782 | 83 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_logistic.py | import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
from sklearn.datasets import load_iris, make_classification
from sklearn.metrics import log_loss
from sklearn.model_selection import StratifiedKFold
from sklearn.preprocessing import LabelEncoder
from sklearn.utils import compute_cl... | 49,337 | 40.989787 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_ransac.py | from scipy import sparse
import numpy as np
from scipy import sparse
from numpy.testing import assert_equal, assert_raises
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from sklearn.utils import check_random_state
from sklearn.utils.testing import assert_less
from s... | 20,592 | 37.928166 | 80 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_randomized_l1.py | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
from tempfile import mkdtemp
import shutil
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... | 8,448 | 37.756881 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_perceptron.py | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing import assert_raises
from sklearn.utils import check_random_state
from sklearn.datasets import load_iris
from sklearn.linear_model import... | 1,856 | 25.15493 | 70 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_passive_aggressive.py | from sklearn.utils.testing import assert_true
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing import assert_array_almost_equal, assert_array_equal
from sklearn.utils.testing import assert_almost_equal... | 9,812 | 34.945055 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_huber.py | # Authors: Manoj Kumar mks542@nyu.edu
# License: BSD 3 clause
import numpy as np
from scipy import optimize, sparse
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_a... | 7,588 | 37.719388 | 81 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_least_angle.py | import warnings
import numpy as np
from scipy import linalg
from sklearn.model_selection import train_test_split
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from ... | 26,139 | 38.131737 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_omp.py | # Author: Vlad Niculae
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equa... | 7,752 | 36.274038 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_bayes.py | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_almos... | 3,376 | 31.161905 | 76 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_coordinate_descent.py | # Authors: Olivier Grisel <olivier.grisel@ensta.org>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# License: BSD 3 clause
import numpy as np
from scipy import interpolate, sparse
from copy import deepcopy
from sklearn.datasets import load_boston
from sklearn.exceptions import ConvergenceWarning
from sk... | 30,080 | 37.516005 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py | import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_true
from sklearn.utils.t... | 10,801 | 35.741497 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_base.py | # 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 scipy import linalg
from itertools import product
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils... | 17,862 | 36.527311 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/linear_model/tests/test_ridge.py | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from itertools import product
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... | 29,229 | 32.87022 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/base.py | """Base and mixin classes for nearest neighbors"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck
# Multi-output support by Arnaud Jol... | 30,908 | 37.44403 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/classification.py | """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
# Multi-output support by Arnaud Joly <a.joly@ul... | 14,338 | 35.672634 | 81 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/setup.py | import os
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('neighbors', parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension('ball_tree',
... | 1,460 | 33.785714 | 72 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/kde.py | """
Kernel Density Estimation
-------------------------
"""
# Author: Jake Vanderplas <jakevdp@cs.washington.edu>
import numpy as np
from scipy.special import gammainc
from ..base import BaseEstimator
from ..utils import check_array, check_random_state
from ..utils.extmath import row_norms
from .ball_tree import BallT... | 8,218 | 36.359091 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/graph.py | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD 3 clause (C) INRIA, University of Amsterdam
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def _check_params(X, metric, p, metric_params):
"""C... | 6,650 | 36.156425 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/approximate.py | """Approximate nearest neighbor search"""
# Author: Maheshakya Wijewardena <maheshakya.10@cse.mrt.ac.lk>
# Joel Nothman <joel.nothman@gmail.com>
import numpy as np
import warnings
from scipy import sparse
from .base import KNeighborsMixin, RadiusNeighborsMixin
from ..base import BaseEstimator
from ..utils.va... | 22,482 | 39.65642 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/regression.py | """Nearest Neighbor Regression"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck
# Multi-output support by Arnaud Joly <a.joly@ulg.ac... | 10,967 | 35.317881 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/nearest_centroid.py | # -*- coding: utf-8 -*-
"""
Nearest Centroid Classification
"""
# Author: Robert Layton <robertlayton@gmail.com>
# Olivier Grisel <olivier.grisel@ensta.org>
#
# License: BSD 3 clause
import warnings
import numpy as np
from scipy import sparse as sp
from ..base import BaseEstimator, ClassifierMixin
from ..met... | 7,451 | 37.412371 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/unsupervised.py | """Unsupervised nearest neighbors learner"""
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import RadiusNeighborsMixin
from .base import UnsupervisedMixin
class NearestNeighbors(NeighborsBase, KNeighborsMixin,
RadiusNeighborsMixin, UnsupervisedMixin):
"""Unsu... | 4,756 | 37.362903 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/__init__.py | """
The :mod:`sklearn.neighbors` module implements the k-nearest neighbors
algorithm.
"""
from .ball_tree import BallTree
from .kd_tree import KDTree
from .dist_metrics import DistanceMetric
from .graph import kneighbors_graph, radius_neighbors_graph
from .unsupervised import NearestNeighbors
from .classification impo... | 1,025 | 31.0625 | 75 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/lof.py | # Authors: Nicolas Goix <nicolas.goix@telecom-paristech.fr>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# License: BSD 3 clause
import numpy as np
from warnings import warn
from scipy.stats import scoreatpercentile
from .base import NeighborsBase
from .base import KNeighborsMixin
from .bas... | 12,184 | 39.752508 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_approximate.py | """
Testing for the approximate neighbor search using
Locality Sensitive Hashing Forest module
(sklearn.neighbors.LSHForest).
"""
# Author: Maheshakya Wijewardena, Joel Nothman
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_a... | 20,126 | 39.415663 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_kd_tree.py | import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.neighbors.kd_tree import (KDTree, NeighborsHeap,
simultaneous_sort, kernel_norm,
nodeheap_sort, DTYPE, ITYPE)
from sklearn.neighbors.dist_metrics import Dista... | 7,954 | 31.871901 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_lof.py | # Authors: Nicolas Goix <nicolas.goix@telecom-paristech.fr>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# License: BSD 3 clause
from math import sqrt
import numpy as np
from sklearn import neighbors
from numpy.testing import assert_array_equal
from sklearn import metrics
from sklearn.metr... | 4,108 | 33.241667 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_neighbors.py | from itertools import product
import numpy as np
from scipy.sparse import (bsr_matrix, coo_matrix, csc_matrix, csr_matrix,
dok_matrix, lil_matrix)
from sklearn import metrics
from sklearn import neighbors, datasets
from sklearn.exceptions import DataConversionWarning
from sklearn.metrics.pai... | 48,928 | 37.496459 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_ball_tree.py | import pickle
import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.neighbors.ball_tree import (BallTree, NeighborsHeap,
simultaneous_sort, kernel_norm,
nodeheap_sort, DTYPE, ITYPE)
from sklearn.neighbors.dis... | 10,379 | 32.057325 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_quad_tree.py | import pickle
import numpy as np
from sklearn.neighbors.quad_tree import _QuadTree
from sklearn.utils import check_random_state
def test_quadtree_boundary_computation():
# Introduce a point into a quad tree with boundaries not easy to compute.
Xs = []
# check a random case
Xs.append(np.array([[-1, 1]... | 3,789 | 33.770642 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_dist_metrics.py | import itertools
import pickle
import numpy as np
from numpy.testing import assert_array_almost_equal
from scipy.spatial.distance import cdist
from sklearn.neighbors.dist_metrics import DistanceMetric
from sklearn.neighbors import BallTree
from sklearn.utils import check_random_state
from sklearn.utils.testing import... | 6,413 | 34.241758 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_kde.py | 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... | 5,537 | 37.458333 | 77 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/neighbors/tests/test_nearest_centroid.py | """
Testing for the nearest centroid module.
"""
import numpy as np
from scipy import sparse as sp
from numpy.testing import assert_array_equal
from numpy.testing import assert_equal
from numpy.testing import assert_raises
from sklearn.neighbors import NearestCentroid
from sklearn import datasets
# toy sample
X = [[... | 4,696 | 30.313333 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/base.py | """
Common code for all metrics
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Olivier Grisel <olivier.grisel@ensta.org>
# Arnaud Joly <a.joly@ulg.ac.be>
# Jochen Wersdorfer <jochen@wersdoerfer.de>
# Lars Buitinck
... | 4,302 | 33.424 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/classification.py | """Metrics to assess performance on classification task given class prediction
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramf... | 73,449 | 37.255208 | 90 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/setup.py | import os
import os.path
import numpy
from numpy.distutils.misc_util import Configuration
from sklearn._build_utils import get_blas_info
def configuration(parent_package="", top_path=None):
config = Configuration("metrics", parent_package, top_path)
cblas_libs, blas_info = get_blas_info()
if os.name ==... | 1,061 | 31.181818 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/scorer.py | """
The :mod:`sklearn.metrics.scorer` submodule implements a flexible
interface for model selection and evaluation using
arbitrary score functions.
A scorer object is a callable that can be passed to
:class:`sklearn.model_selection.GridSearchCV` or
:func:`sklearn.model_selection.cross_val_score` as the ``scoring``
par... | 23,011 | 40.019608 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/regression.py | """Metrics to assess performance on regression task
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Ma... | 19,967 | 33.970228 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/pairwise.py | # -*- coding: utf-8 -*-
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Robert Layton <robertlayton@gmail.com>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# Philippe Gervais <philippe.gervais@inria.fr>
# Lars Buitinck
... | 47,000 | 32.428876 | 99 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/__init__.py | """
The :mod:`sklearn.metrics` module includes score functions, performance metrics
and pairwise metrics and distance computations.
"""
from .ranking import auc
from .ranking import average_precision_score
from .ranking import coverage_error
from .ranking import label_ranking_average_precision_score
from .ranking imp... | 3,688 | 29.741667 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/ranking.py | """Metrics to assess performance on classification task given scores
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.... | 29,356 | 35.834379 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_regression.py | from __future__ import division, print_function
import numpy as np
from itertools import product
from sklearn.utils.testing import assert_raises, assert_raises_regex
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equa... | 8,058 | 43.038251 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_common.py | from __future__ import division, print_function
from functools import partial
from itertools import product
import numpy as np
import scipy.sparse as sp
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import LabelBinarizer
from sklearn.utils.multiclass import type_of_target
fro... | 43,668 | 38.2354 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_ranking.py | from __future__ import division, print_function
import numpy as np
from itertools import product
import warnings
from scipy.sparse import csr_matrix
from sklearn import datasets
from sklearn import svm
from sklearn.datasets import make_multilabel_classification
from sklearn.random_projection import sparse_random_mat... | 43,099 | 40.885326 | 82 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_classification.py | from __future__ import division, print_function
import numpy as np
from scipy import linalg
from functools import partial
from itertools import product
import warnings
from sklearn import datasets
from sklearn import svm
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import la... | 62,931 | 37.918986 | 89 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_score_objects.py | import pickle
import tempfile
import shutil
import os
import numbers
import numpy as np
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing i... | 21,280 | 39.228733 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/__init__.py | 0 | 0 | 0 | py | |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/tests/test_pairwise.py | 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... | 27,335 | 37.178771 | 78 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/cluster/bicluster.py | from __future__ import division
import numpy as np
from sklearn.utils.linear_assignment_ import linear_assignment
from sklearn.utils.validation import check_consistent_length, check_array
__all__ = ["consensus_score"]
def _check_rows_and_columns(a, b):
"""Unpacks the row and column arrays and checks their shap... | 2,797 | 31.16092 | 73 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/cluster/setup.py | import os
import numpy
from numpy.distutils.misc_util import Configuration
def configuration(parent_package="", top_path=None):
config = Configuration("metrics/cluster", parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension("expected_mutual... | 672 | 27.041667 | 71 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/cluster/supervised.py | """Utilities to evaluate the clustering performance of models.
Functions named as *_score return a scalar value to maximize: the higher the
better.
"""
# Authors: Olivier Grisel <olivier.grisel@ensta.org>
# Wei LI <kuantkid@gmail.com>
# Diego Molla <dmolla-aliod@gmail.com>
# Arnaud Fouchet ... | 31,406 | 34.975945 | 79 | py |
cba-pipeline-public | cba-pipeline-public-master/containernet/ndn-containers/ndn_headless-player/bandits/venv/lib/python3.6/site-packages/sklearn/metrics/cluster/unsupervised.py | """Unsupervised evaluation metrics."""
# Authors: Robert Layton <robertlayton@gmail.com>
# Arnaud Fouchet <foucheta@gmail.com>
# Thierry Guillemot <thierry.guillemot.work@gmail.com>
# License: BSD 3 clause
import numpy as np
from ...utils import check_random_state
from ...utils import check_X_y
fro... | 10,322 | 38.857143 | 79 | py |