repo_name stringlengths 7 79 | path stringlengths 4 179 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 959 798k | license stringclasses 15
values |
|---|---|---|---|---|---|
jm-begon/scikit-learn | benchmarks/bench_random_projections.py | 397 | 8900 | """
===========================
Random projection benchmark
===========================
Benchmarks for random projections.
"""
from __future__ import division
from __future__ import print_function
import gc
import sys
import optparse
from datetime import datetime
import collections
import numpy as np
import scipy.s... | bsd-3-clause |
cfe-lab/MiCall | release_test_compare.py | 1 | 29035 | """ Compare result files in shared folder with previous release. """
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
import csv
from collections import namedtuple, defaultdict
from concurrent.futures.process import ProcessPoolExecutor
from difflib import Differ
from enum import IntEnum
from functools... | agpl-3.0 |
wzbozon/statsmodels | statsmodels/sandbox/tests/test_predict_functional.py | 29 | 12873 | from statsmodels.sandbox.predict_functional import predict_functional
import numpy as np
import pandas as pd
import statsmodels.api as sm
from numpy.testing import dec
# If true, the output is written to a multi-page pdf file.
pdf_output = False
try:
import matplotlib.pyplot as plt
import matplotlib
have_... | bsd-3-clause |
billy-inn/scikit-learn | examples/neural_networks/plot_rbm_logistic_classification.py | 258 | 4609 | """
==============================================================
Restricted Boltzmann Machine features for digit classification
==============================================================
For greyscale image data where pixel values can be interpreted as degrees of
blackness on a white background, like handwritten... | bsd-3-clause |
dougalsutherland/skl-groups | docs/conf.py | 1 | 8992 | # -*- coding: utf-8 -*-
#
# skl-groups documentation build configuration file, created by
# sphinx-quickstart on Mon Jun 9 15:38:37 2014.
#
# 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 |
vantares/trading-with-python | lib/qtpandas.py | 77 | 7937 | '''
Easy integration of DataFrame into pyqt framework
Copyright: Jev Kuznetsov
Licence: BSD
'''
from PyQt4.QtCore import (QAbstractTableModel,Qt,QVariant,QModelIndex,SIGNAL)
from PyQt4.QtGui import (QApplication,QDialog,QVBoxLayout, QHBoxLayout, QTableView, QPushButton,
QWidget,QTabl... | bsd-3-clause |
12AngryMen/votca-scripts | xtp/xtp_Molpol_pattern.py | 2 | 2265 | #!/usr/bin/env python
import sqlite3
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import os
import os.path
import numpy.linalg as lg
import argparse as ap
parser=ap.ArgumentParser(description="reads in pdb or gro file and creates a molpol pattern from it")
parser.add_argument(... | apache-2.0 |
GuessWhoSamFoo/pandas | pandas/tests/indexes/multi/test_get_set.py | 1 | 15757 | # -*- coding: utf-8 -*-
import numpy as np
import pytest
from pandas.compat import range
import pandas as pd
from pandas import CategoricalIndex, Index, MultiIndex
import pandas.util.testing as tm
def assert_matching(actual, expected, check_dtype=False):
# avoid specifying internal representation
# as muc... | bsd-3-clause |
fabriziocosta/EDeN | setup.py | 2 | 3484 | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
import subprocess
import re
from setuptools import setup
from setuptools.command.sdist import sdist as _sdist
from setuptools.command.install import install as _install
VERSION_PY = """
# This file... | mit |
eickenberg/sklearn-theano | sklearn_theano/sandbox/logistic_regression.py | 9 | 1526 | import numpy as np
from theano import tensor as T
import theano
from sklearn.datasets import make_classification
from sklearn.cross_validation import train_test_split
from sklearn.metrics import classification_report
rng = np.random.RandomState(1999)
X, y = make_classification(n_samples=400, n_features=25, n_informati... | bsd-3-clause |
inasio/Inverse-Sierpinski | hex-sierpinsky.py | 1 | 4984 | import pylab as pb
import numpy as np
import matplotlib.pyplot as plt
#from pycallgraph import PyCallGraph
#from pycallgraph.output import GraphvizOutput
from time import time
def plot_triangle(x,y):
#side = 2*np.sqrt((x[1]-x[0])**2 + (y[1]-y[0])**2)
#side = 1 - np.sqrt(x[1]**2 + y[1]**2)
side = 0.2
pb... | mit |
datapythonista/pandas | pandas/tests/indexing/multiindex/test_iloc.py | 3 | 4837 | import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
)
import pandas._testing as tm
@pytest.fixture
def simple_multiindex_dataframe():
"""
Factory function to create simple 3 x 3 dataframe with
both columns and row MultiIndex using supplied data or
random d... | bsd-3-clause |
harisbal/pandas | pandas/io/formats/style.py | 2 | 44025 | """
Module for applying conditional formatting to
DataFrames and Series.
"""
from functools import partial
from itertools import product
from contextlib import contextmanager
from uuid import uuid1
import copy
from collections import defaultdict, MutableMapping
try:
from jinja2 import (
PackageLoader, Envi... | bsd-3-clause |
BiaDarkia/scikit-learn | sklearn/ensemble/tests/test_base.py | 36 | 5277 | """
Testing for the base module (sklearn.ensemble.base).
"""
# Authors: Gilles Louppe
# License: BSD 3 clause
import numpy as np
from numpy.testing import assert_equal
from sklearn.utils.testing import assert_raise_message
from sklearn.utils.testing import assert_not_equal
from sklearn.utils.testing import assert_tr... | bsd-3-clause |
mbayon/TFG-MachineLearning | venv/lib/python3.6/site-packages/pandas/core/panel.py | 7 | 55818 | """
Contains data structures designed for manipulating panel (3-dimensional) data
"""
# pylint: disable=E1103,W0231,W0212,W0621
from __future__ import division
import numpy as np
import warnings
from pandas.core.dtypes.cast import (
infer_dtype_from_scalar,
maybe_cast_item)
from pandas.core.dtypes.common impor... | mit |
gnuradio/gnuradio | gr-fec/python/fec/polar/channel_construction_awgn.py | 2 | 8128 | #!/usr/bin/env python
#
# Copyright 2015 Free Software Foundation, Inc.
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
"""
Based on 2 papers:
[1] Ido Tal, Alexander Vardy: 'How To Construct Polar Codes', 2013
for an in-depth description of a widely used algorithm for channel construction.
[2] Harish Vangala, Eman... | gpl-3.0 |
rongzh/unbiased-pscale | code/Jamieson1982Analysis/eval_Pt_eos.py | 1 | 9546 | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize as optimize
from scipy.interpolate import interp1d
import collections
from eos_mod import MGD_PowerLaw,debye_fun,Ptot_powerlaw,press_vinet
def set_dic(a):
param_d['V0'] = a[0]
param_d['K0'] = a[1]
param_d['K0p'] ... | mit |
elhuhdron/emdrp | neon3/data/parseEMdata.py | 1 | 111047 | # The MIT License (MIT)
#
# Copyright (c) 2016 Paul Watkins, National Institutes of Health / NINDS
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without lim... | mit |
stargaser/astropy | astropy/visualization/tests/test_histogram.py | 5 | 2349 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from numpy.testing import assert_allclose
try:
import matplotlib.pyplot as plt
HAS_PLT = True
except ImportError:
HAS_PLT = False
try:
import scipy # noqa
HAS_SCIPY = True
except ImportError:
HAS_SCIPY = False
import pytest
im... | bsd-3-clause |
georgid/sms-tools | lectures/9-Sound-description/plots-code/mfcc.py | 25 | 1103 | import numpy as np
import matplotlib.pyplot as plt
import essentia.standard as ess
M = 1024
N = 1024
H = 512
fs = 44100
spectrum = ess.Spectrum(size=N)
window = ess.Windowing(size=M, type='hann')
mfcc = ess.MFCC(numberCoefficients = 12)
x = ess.MonoLoader(filename = '../../../sounds/speech-male.wav', sampleRate = fs)(... | agpl-3.0 |
qifeigit/scikit-learn | examples/cluster/plot_digits_linkage.py | 369 | 2959 | """
=============================================================================
Various Agglomerative Clustering on a 2D embedding of digits
=============================================================================
An illustration of various linkage option for agglomerative clustering on
a 2D embedding of the di... | bsd-3-clause |
sperfu/DeepInteract-for-CircRNA-Disease-Inference- | DeepInteract_new.py | 1 | 23513 | # -*- coding: utf-8 -*-
###THEANO_FLAGS=mode=FAST_RUN,device=gpu0,floatX=float32 python
import numpy as np
import os
import matplotlib.pyplot as plt
from sklearn import svm, grid_search
from sklearn.preprocessing import LabelEncoder
from sklearn.svm import LinearSVC
from sklearn.ensemble import RandomForestClassifier
f... | gpl-3.0 |
gfyoung/pandas | pandas/tests/generic/test_generic.py | 2 | 16480 | from copy import copy, deepcopy
import numpy as np
import pytest
from pandas.core.dtypes.common import is_scalar
from pandas import DataFrame, Series
import pandas._testing as tm
# ----------------------------------------------------------------------
# Generic types test cases
class Generic:
@property
de... | bsd-3-clause |
zaxliu/deepnap | experiments/kdd-exps/experiment_message_2016-6-13_G5_BUF2_FR20_1_legacy.py | 1 | 4370 | # System built-in modules
import time
from datetime import datetime
import sys
import os
from multiprocessing import Pool
# Project dependency modules
import pandas as pd
pd.set_option('mode.chained_assignment', None) # block warnings due to DataFrame value assignment
import lasagne
# Project modules
sys.path.append('... | bsd-3-clause |
devanshdalal/scikit-learn | sklearn/svm/tests/test_bounds.py | 49 | 2386 | import warnings
import numpy as np
from scipy import sparse as sp
from sklearn.svm.bounds import l1_min_c
from sklearn.svm import LinearSVC
from sklearn.linear_model.logistic import LogisticRegression
from sklearn.utils.testing import assert_true, raises
from sklearn.utils.testing import assert_raise_message
dense... | bsd-3-clause |
SEMCOG/synthpop | synthpop/ipf/ipf.py | 3 | 2483 | import numpy as np
import pandas as pd
def calculate_constraints(
marginals, joint_dist, tolerance=1e-3, max_iterations=1000):
"""
Calculate constraints on household or person classes using
single category marginals and the observed class proportions
in a population sample.
Constraints ar... | bsd-3-clause |
zihua/scikit-learn | sklearn/mixture/gmm.py | 11 | 32100 | """
Gaussian Mixture Models.
This implementation corresponds to frequentist (non-Bayesian) formulation
of Gaussian Mixture Models.
"""
# Author: Ron Weiss <ronweiss@gmail.com>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Bertrand Thirion <bertrand.thirion@inria.fr>
# Important note for the deprec... | bsd-3-clause |
chaxor/Spectro | Spectro.py | 1 | 42248 | ## Spectro
## =======
## This program analyzes UV-VIS absorption spectra from aqueous surfactant suspended dispersions of carbon nanotubes.
## It does so by fitting absorption profile models from the literature with a linear regression at each step of a non-linear regression fitting of the background (amorphous carb... | gpl-3.0 |
IshankGulati/scikit-learn | examples/neighbors/plot_lof.py | 30 | 1939 | """
=================================================
Anomaly detection with Local Outlier Factor (LOF)
=================================================
This example presents the Local Outlier Factor (LOF) estimator. The LOF
algorithm is an unsupervised outlier detection method which computes the local
density deviat... | bsd-3-clause |
jm-begon/scikit-learn | sklearn/metrics/tests/test_ranking.py | 75 | 40883 | 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 import ensemble
from sklearn.datasets import make_multilabel_classification
from sklearn.random_projec... | bsd-3-clause |
pygeo/pycmbs | docs/source/figures/fig_portraet.py | 1 | 1116 | # -*- coding: utf-8 -*-
"""
This file is part of pyCMBS.
(c) 2012- Alexander Loew
For COPYING and LICENSE details, please refer to the LICENSE file
"""
from pycmbs.plots import GlecklerPlot
import matplotlib.pyplot as plt
# this is just an artificial example illustrating principle usage of the
# Portraet diagram
fig... | mit |
taknevski/tensorflow-xsmm | tensorflow/contrib/learn/python/learn/tests/dataframe/in_memory_source_test.py | 62 | 3960 | # Copyright 2015 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 |
mirnylab/cooler | cooler/create/_create.py | 1 | 40902 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, division
from datetime import datetime
from six.moves import map
from pandas.api.types import is_categorical, is_integer
import os.path as op
import pandas as pd
import numpy as np
import posixpath
import tempfile
import warnings
import h5p... | bsd-3-clause |
hippke/TTV-TDV-exomoons | create_figures/create_figure_4a.py | 1 | 7168 | """n-body simulator to derive TDV+TTV diagrams of planet-moon configurations.
Credit for part of the source is given to
https://github.com/akuchling/50-examples/blob/master/gravity.rst
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License
"""
import numpy
import math
import matplotlib.pylab as plt... | mit |
Adai0808/scikit-learn | sklearn/feature_selection/tests/test_feature_select.py | 143 | 22295 | """
Todo: cross-check the F-value with stats model
"""
from __future__ import division
import itertools
import warnings
import numpy as np
from scipy import stats, sparse
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_raises... | bsd-3-clause |
Reagankm/KnockKnock | venv/lib/python3.4/site-packages/matplotlib/tests/test_compare_images.py | 15 | 3854 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import os
import shutil
from nose.tools import assert_equal, assert_not_equal, assert_almost_equal
from matplotlib.testing.compare import compare_images
from matplotlib.testing.decorators import _... | gpl-2.0 |
kobejean/tensorflow | tensorflow/contrib/learn/python/learn/estimators/__init__.py | 39 | 12688 | # Copyright 2016 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 |
sriharshams/mlnd | smartcab/smartcab/simulator.py | 11 | 25158 | ###########################################
# Suppress matplotlib user warnings
# Necessary for newer version of matplotlib
import warnings
warnings.filterwarnings("ignore", category = UserWarning, module = "matplotlib")
###########################################
import os
import time
import random
import importlib
i... | apache-2.0 |
christos-tsotskas/PhD_post_processing | src/post_process.py | 1 | 4796 | '''
Created on 19 Sep 2016
@author: Christos
'''
import numpy as np
import matplotlib.pyplot as plt
class ComparisonPlot(object):
__Visualisers = None
def __init__(self, Visualisers):
self.__Visualisers = Visualisers
print 'received:'+ str( len(self.__Visualisers)) + " ... | mit |
wdm0006/categorical_encoding | category_encoders/leave_one_out.py | 1 | 11527 | """Leave one out coding"""
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
import category_encoders.utils as util
from sklearn.utils.random import check_random_state
__author__ = 'hbghhy'
class LeaveOneOutEncoder(BaseEstimator, TransformerMixin):
"""Leave one out c... | bsd-3-clause |
GoogleCloudPlatform/keras-idiomatic-programmer | zoo/datasets_c.py | 1 | 5732 | # Copyright 2019 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | apache-2.0 |
vtsuperdarn/davitpy | davitpy/models/raydarn/rt.py | 1 | 45736 | # Copyright (C) 2012 VT SuperDARN Lab
# Full license can be found in LICENSE.txt
"""Ray-tracing raydarn module
This module runs the raytracing code
Classes
-------------------------------------------------------
rt.RtRun run the code
rt.Scatter store and process modeled backscatter
rt.Edens store and process ... | gpl-3.0 |
sarahgrogan/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 |
IssamLaradji/scikit-learn | sklearn/setup.py | 24 | 2991 | import os
from os.path import join
import warnings
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
libraries = []
if os.name == 'posix':
libraries.appe... | bsd-3-clause |
kanchenxi04/vnpy-app | vn.trader/ctaAlgo/strategy_MACD_v05.py | 2 | 31502 | # encoding: UTF-8
# 首先写系统内置模块
from datetime import datetime, timedelta, date
from time import sleep
# 其次，导入vnpy的基础模块
import sys
# sys.path.append('C:\\vnpy_1.5\\vnpy-master\\vn.trader')
sys.path.append('../')
from vtConstant import EMPTY_STRING, EMPTY_INT, DIRECTION_LONG, DIRECTION_SHORT, OFFSET_OPEN, STATUS_CANCELL... | mit |
gnieboer/tensorflow | tensorflow/python/client/notebook.py | 109 | 4791 | # Copyright 2015 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 |
eladnoor/equilibrator-api | pathways_cmd.py | 1 | 1031 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 1 13:24:15 2017
@author: noore
"""
import argparse
import logging
from equilibrator_api import Pathway
from matplotlib.backends.backend_pdf import PdfPages
import pandas as pd
if __name__ == '__main__':
parser = argparse.ArgumentParser(
... | mit |
aasensio/magnetographCorrection | doPlotNew.py | 1 | 5228 | import numpy as np
import matplotlib.pyplot as pl
import brewer2mpl
from scipy.integrate import simps
from scipy.stats import linregress
dat = np.load('posterior.npz')
pB, normaliz, B, sigmas, fluxes = dat['arr_0'], dat['arr_1'], dat['arr_2'], dat['arr_3'], dat['arr_4']
labels = [r'2 Mx cm$^{-2}$',r'5 Mx cm$^{-2}$',r... | mit |
pulinagrawal/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/texmanager.py | 69 | 16818 | """
This module supports embedded TeX expressions in matplotlib via dvipng
and dvips for the raster and postscript backends. The tex and
dvipng/dvips information is cached in ~/.matplotlib/tex.cache for reuse between
sessions
Requirements:
* latex
* \*Agg backends: dvipng
* PS backend: latex w/ psfrag, dvips, and Gh... | agpl-3.0 |
strawlab/drosophila_eye_map | drosophila_eye_map/inspect_weightmap.py | 1 | 8586 | # -*- coding: utf-8 -*-
# Copyright (c) 2005-2008, California Institute of Technology
# Copyright (c) 2017, Albert-Ludwigs-Universität Freiburg
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
... | bsd-2-clause |
pacoqueen/ginn | extra/install/ipython2/ipython-5.10.0/IPython/core/shellapp.py | 1 | 16462 | # encoding: utf-8
"""
A mixin for :class:`~IPython.core.application.Application` classes that
launch InteractiveShell instances, load extensions, etc.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import absolute_import
from __future__ import ... | gpl-2.0 |
zzcclp/spark | python/pyspark/pandas/missing/window.py | 16 | 5201 | #
# 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 us... | apache-2.0 |
ningchi/scikit-learn | sklearn/tests/test_kernel_approximation.py | 244 | 7588 | import numpy as np
from scipy.sparse import csr_matrix
from sklearn.utils.testing import assert_array_equal, assert_equal, assert_true
from sklearn.utils.testing import assert_not_equal
from sklearn.utils.testing import assert_array_almost_equal, assert_raises
from sklearn.utils.testing import assert_less_equal
from ... | bsd-3-clause |
apache-spark-on-k8s/spark | python/pyspark/sql/dataframe.py | 3 | 70232 | #
# 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 us... | apache-2.0 |
dials/dials | command_line/cluster_unit_cell.py | 1 | 3086 | # LIBTBX_PRE_DISPATCHER_INCLUDE_SH export PHENIX_GUI_ENVIRONMENT=1
import os
import iotbx.mtz
import iotbx.phil
from cctbx import crystal
from xfel.clustering.cluster import Cluster
from xfel.clustering.cluster_groups import unit_cell_info
import dials.util
from dials.util.options import OptionParser, flatten_exper... | bsd-3-clause |
khkaminska/scikit-learn | sklearn/metrics/cluster/bicluster.py | 359 | 2797 | 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... | bsd-3-clause |
kambysese/mne-python | examples/stats/plot_cluster_stats_evoked.py | 18 | 3021 | """
=======================================================
Permutation F-test on sensor data with 1D cluster level
=======================================================
One tests if the evoked response is significantly different
between conditions. Multiple comparison problem is addressed
with cluster level permuta... | bsd-3-clause |
Universal-Model-Converter/UMC3.0a | data/Python/x86/Lib/site-packages/numpy/lib/function_base.py | 3 | 115310 | __docformat__ = "restructuredtext en"
__all__ = ['select', 'piecewise', 'trim_zeros', 'copy', 'iterable',
'percentile', 'diff', 'gradient', 'angle', 'unwrap', 'sort_complex',
'disp', 'extract', 'place', 'nansum', 'nanmax', 'nanargmax',
'nanargmin', 'nanmin', 'vectorize', 'asarray_chkfin... | mit |
CChengz/dot.r | workspace/fits/.metadata/.plugins/org.eclipse.wst.server.core/tmp0/wtpwebapps/amil/WEB-INF/files/map_outputs/20150208230724GLVL/map_gen.py | 11 | 6786 | #!/usr/bin/env python
"""
Created on Feb 4, 2015
@author: Cheng Zeng, University of Aberdeen
"""
import os.path
import matplotlib as mpl
mpl.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.mlab import griddata
from matplotlib.colors import from_levels_and_colors
import mplleaflet
def ... | apache-2.0 |
chenyyx/scikit-learn-doc-zh | examples/zh/svm/plot_svm_anova.py | 33 | 2024 | """
=================================================
SVM-Anova: SVM with univariate feature selection
=================================================
This example shows how to perform univariate feature selection before running a
SVC (support vector classifier) to improve the classification scores.
"""
print(__doc_... | gpl-3.0 |
gef756/statsmodels | statsmodels/examples/ex_emplike_1.py | 34 | 3682 | """
This is a basic tutorial on how to conduct basic empirical likelihood
inference for descriptive statistics. If matplotlib is installed
it also generates plots.
"""
from __future__ import print_function
import numpy as np
import statsmodels.api as sm
print('Welcome to El')
np.random.seed(634) # No significance o... | bsd-3-clause |
benoitsteiner/tensorflow-opencl | tensorflow/contrib/learn/python/learn/estimators/dnn_test.py | 19 | 60823 | # Copyright 2016 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 |
grundgruen/zipline | zipline/utils/tradingcalendar_tse.py | 17 | 10125 | #
# Copyright 2014 Quantopian, Inc.
#
# 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 wr... | apache-2.0 |
aetilley/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 |
xdnian/pyml | code/ch03/share.py | 2 | 1904 | import numpy as np
from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
import warnings
def versiontuple(v):
return tuple(map(int, (v.split("."))))
def plot_decision_regions(X, y, classifier, test_idx=None, resolution=0.02, xlabel='', ylabel='', title=''):
# setup marker generator and... | mit |
lthurlow/Network-Grapher | proj/external/numpy-1.7.0/build/lib.linux-i686-2.7/numpy/lib/npyio.py | 9 | 65323 | __all__ = ['savetxt', 'loadtxt', 'genfromtxt', 'ndfromtxt', 'mafromtxt',
'recfromtxt', 'recfromcsv', 'load', 'loads', 'save', 'savez',
'savez_compressed', 'packbits', 'unpackbits', 'fromregex', 'DataSource']
import numpy as np
import format
import sys
import os
import re
import sys
import itertoo... | mit |
luigift/pybrain | examples/rl/environments/linear_fa/bicycle.py | 26 | 14462 | from __future__ import print_function
"""An attempt to implement Randlov and Alstrom (1998). They successfully
use reinforcement learning to balance a bicycle, and to control it to drive
to a specified goal location. Their work has been used since then by a few
researchers as a benchmark problem.
We only implement th... | bsd-3-clause |
yask123/scikit-learn | examples/svm/plot_custom_kernel.py | 171 | 1546 | """
======================
SVM with custom kernel
======================
Simple usage of Support Vector Machines to classify a sample. It will
plot the decision surface and the support vectors.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data... | bsd-3-clause |
shaoguangleo/code-for-blog | 2008/wx_mpl_dynamic_graph.py | 13 | 11139 | """
This demo demonstrates how to draw a dynamic mpl (matplotlib)
plot in a wxPython application.
It allows "live" plotting as well as manual zooming to specific
regions.
Both X and Y axes allow "auto" or "manual" settings. For Y, auto
mode sets the scaling of the graph to see all the data points.
For X, auto mode m... | unlicense |
rohanp/scikit-learn | sklearn/cluster/bicluster.py | 66 | 19850 | """Spectral biclustering algorithms.
Authors : Kemal Eren
License: BSD 3 clause
"""
from abc import ABCMeta, abstractmethod
import numpy as np
from scipy.sparse import dia_matrix
from scipy.sparse import issparse
from . import KMeans, MiniBatchKMeans
from ..base import BaseEstimator, BiclusterMixin
from ..external... | bsd-3-clause |
GeoMop/PythonOCC_Examples | src/interpolate_bezier-cubic-filter.py | 1 | 2192 | import numpy as np
from numpy.linalg import inv
import matplotlib.pyplot as plt
import sys
eps = sys.float_info.epsilon
# Coordinates of points P=[P_{1}, P_{2}, ..., P_{n}]
x = np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0])
y = np.array([3.1, 3.1, 3.1, 3.1, 3.1, 3.1, ... | gpl-2.0 |
tomlof/scikit-learn | sklearn/linear_model/tests/test_omp.py | 76 | 7752 | # 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... | bsd-3-clause |
nicolas998/Op_Alarmas | 02_Codigos/alarmas.py | 1 | 6511 | #!/usr/bin/env python
import os
import pandas as pd
from wmf import wmf
import numpy as np
import glob
########################################################################
# VARIABLES GLOBALES
ruta_store = None
ruta_store_bck = None
########################################################################
# ... | gpl-3.0 |
denniszollo/mavlink | pymavlink/tools/mavgpslag.py | 43 | 3446 | #!/usr/bin/env python
'''
calculate GPS lag from DF log
'''
import sys, time, os
from argparse import ArgumentParser
parser = ArgumentParser(description=__doc__)
parser.add_argument("--plot", action='store_true', default=False, help="plot errors")
parser.add_argument("--minspeed", type=float, default=6, help="minimu... | lgpl-3.0 |
yl565/statsmodels | statsmodels/examples/ex_lowess.py | 34 | 2827 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 31 15:26:06 2011
Author: Chris Jordan Squire
extracted from test suite by josef-pktd
"""
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
lowess = sm.nonparametric.lowess
# this is just to check dire... | bsd-3-clause |
hitszxp/scikit-learn | examples/linear_model/plot_multi_task_lasso_support.py | 249 | 2211 | #!/usr/bin/env python
"""
=============================================
Joint feature selection with multi-task Lasso
=============================================
The multi-task lasso allows to fit multiple regression problems
jointly enforcing the selected features to be the same across
tasks. This example simulates... | bsd-3-clause |
brad-kaiser/spark | examples/src/main/python/sql/arrow.py | 13 | 3997 | #
# 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 us... | apache-2.0 |
amaggi/bda | plotall_distributions.py | 1 | 1517 | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm, beta
NPTS = 100
COLS = ['red', 'orange', 'yellow', 'green', 'blue', 'violet']
# normal distribution
mu_vals = [-1, 0, +1]
sig_vals = [0.5, 1, 2]
fig, axes = plt.subplots(1, 2)
plt.sca(axes[0])
n_vals = len(mu_vals)
for i in xrange(n_v... | gpl-2.0 |
dhuang/incubator-airflow | airflow/hooks/dbapi_hook.py | 2 | 9351 | # -*- 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 |
Ecogenomics/GroopM | groopm/ellipsoid.py | 1 | 15293 | #!/usr/bin/python
###############################################################################
# #
# ellipsoid.py #
# ... | gpl-3.0 |
toastedcornflakes/scikit-learn | sklearn/linear_model/tests/test_bayes.py | 299 | 1770 | # 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 SkipTest
from sklearn.linear_model.bayes import BayesianRidge, ARDRegres... | bsd-3-clause |
MJuddBooth/pandas | pandas/core/frame.py | 1 | 295066 | # pylint: disable=E1101
# pylint: disable=W0212,W0703,W0622
"""
DataFrame
---------
An efficient 2D container for potentially mixed-type time series or other
labeled data series.
Similar to its R counterpart, data.frame, except providing automatic data
alignment and a host of useful data manipulation methods having to... | bsd-3-clause |
gef756/statsmodels | statsmodels/sandbox/examples/bayesprior.py | 33 | 7003 | #
# This script examines the predictive prior densities of two local level
# models given the same priors for parameters that appear to be the same.
# Reference: Del Negro and Schorfheide.
try:
import pymc
pymc_installed = 1
except:
print("pymc not imported")
pymc_installed = 0
from scipy.stats import ... | bsd-3-clause |
loli/semisupervisedforests | examples/manifold/plot_compare_methods.py | 259 | 4031 | """
=========================================
Comparison of Manifold Learning methods
=========================================
An illustration of dimensionality reduction on the S-curve dataset
with various manifold learning methods.
For a discussion and comparison of these algorithms, see the
:ref:`manifold module... | bsd-3-clause |
Og192/Python | sklearnLearning/statisticalAndSupervisedLearning/adaboost.py | 2 | 2852 | print(__doc__)
# Author: Noel Dawe <noel.dawe@gmail.com>
#
# License: BSD 3 clause
from sklearn.externals.six.moves import zip
import matplotlib.pyplot as plt
from sklearn.datasets import make_gaussian_quantiles
from sklearn.ensemble import AdaBoostClassifier
from sklearn.metrics import accuracy_score
from sklearn.... | gpl-2.0 |
kknox/clBLAS | src/scripts/perf/plotPerformance.py | 16 | 12286 | # ########################################################################
# Copyright 2013 Advanced Micro Devices, Inc.
#
# 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.apach... | apache-2.0 |
bikong2/scikit-learn | examples/applications/plot_species_distribution_modeling.py | 254 | 7434 | """
=============================
Species distribution modeling
=============================
Modeling species' geographic distributions is an important
problem in conservation biology. In this example we
model the geographic distribution of two south american
mammals given past observations and 14 environmental
varia... | bsd-3-clause |
samthor/intellij-community | python/helpers/pydev/pydevd.py | 9 | 99805 | #IMPORTANT: pydevd_constants must be the 1st thing defined because it'll keep a reference to the original sys._getframe
from __future__ import nested_scopes # Jython 2.1 support
import pydev_monkey_qt
from pydevd_utils import save_main_module
import pydevd_utils
pydev_monkey_qt.patch_qt()
import traceback
from pyde... | apache-2.0 |
jeplus/jEPlus | scripts/scatter_plot_3.py | 1 | 2402 | from collections import defaultdict
import re
import csv # to get data from the file
import matplotlib.pyplot as plt # to make the plot
def load_data(filename, *keys):
result = defaultdict(list)
with open(filename, 'r') as f: # initialise the file handle
reader = csv.DictReader(f, skipinitialspace=Tru... | gpl-3.0 |
stwunsch/gnuradio | gr-filter/examples/channelize.py | 58 | 7003 | #!/usr/bin/env python
#
# Copyright 2009,2012,2013 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio 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, or (at your ... | gpl-3.0 |
jjx02230808/project0223 | sklearn/metrics/tests/test_classification.py | 20 | 50188 | 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... | bsd-3-clause |
sbxzy/pygks | pygks/ui_isoinn.py | 1 | 8603 | from . import isoinn2
from pygraph.classes.graph import graph
from pygraph.algorithms.minmax import cut_tree
from pygraph.algorithms.accessibility import connected_components
from .utils import __dict_reverse as dict_reverse
import itertools
import time
from numpy import array,sum,sqrt
class data_block:
"""This is... | bsd-3-clause |
JFriel/honours_project | networkx/doc/make_gallery.py | 35 | 2453 | """
Generate a thumbnail gallery of examples.
"""
from __future__ import print_function
import os, glob, re, shutil, sys
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot
import matplotlib.image
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCa... | gpl-3.0 |
kjordahl/xray | doc/conf.py | 3 | 13424 | # -*- coding: utf-8 -*-
#
# xray documentation build configuration file, created by
# sphinx-quickstart on Thu Feb 6 18:57:54 2014.
#
# 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.
#
# All ... | apache-2.0 |
ghortiz-pena/BrownDwarfModel | Model.py | 1 | 3987 | def header(f_name):
from numpy import pi
f = open(f_name)
line = f.readline()
l = line.split()
while l[0] == "#":
line = f.readline()
l = line.split()
n = int(l[0])
distr = l[1]
line = f.readline()
l = line.split()
P = int(l[0])
B = float(l[1])
beta = floa... | mit |
wazeerzulfikar/scikit-learn | examples/linear_model/plot_sgd_penalties.py | 124 | 1877 | """
==============
SGD: Penalties
==============
Plot the contours of the three penalties.
All of the above are supported by
:class:`sklearn.linear_model.stochastic_gradient`.
"""
from __future__ import division
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
def l1(xs):
return np.array([np.... | bsd-3-clause |
meteorcloudy/tensorflow | tensorflow/contrib/learn/python/learn/estimators/dnn_test.py | 30 | 60826 | # Copyright 2016 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 |
SenGonzo/ia_tools | Analysis_sketchpad.py | 1 | 3517 |
import pandas as pd
import Attack_Calc as atk
def data_input():
# import and fold data
df = pd.read_csv('input_data/units.csv')
# df = df[(df['faction'] == 'scum')]
# df = df[(df['single model health'] >= 5)]
df.sort_values(by=['name'], ascending=[True], inplace=True)
rez_df = pd... | mit |
dilawar/moose-full | moose-examples/_travis/test_all_scripts.py | 2 | 2516 | #!/usr/bin/python
"""test_all_scripts.py:
This script tests scripts in this repository.
"""
__author__ = "Dilawar Singh"
__copyright__ = "Copyright 2015, Dilawar Singh and NCBS Bangalore"
__credits__ = ["NCBS Bangalore"]
__license__ = "GNU GPL"
__version__ = "1.0... | gpl-2.0 |
abimannans/scikit-learn | sklearn/utils/tests/test_estimator_checks.py | 202 | 3757 | import scipy.sparse as sp
import numpy as np
import sys
from sklearn.externals.six.moves import cStringIO as StringIO
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.utils.testing import assert_raises_regex, assert_true
from sklearn.utils.estimator_checks import check_estimator
from sklearn.utils.... | bsd-3-clause |
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