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 |
|---|---|---|---|---|---|
JonasWallin/BayesFlow | setup.py | 1 | 2957 | # -*- coding: utf-8 -*-
try:
from setuptools import setup, Extension
except ImportError:
try:
from setuptools.core import setup, Extension
except ImportError:
from distutils.core import setup, Extension
import platform
def is_numpy_installed():
try:
import numpy
except ImportError:
return False
return... | gpl-2.0 |
kaichogami/scikit-learn | examples/linear_model/plot_ols.py | 104 | 1936 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Linear Regression Example
=========================================================
This example uses the only the first feature of the `diabetes` dataset, in
order to illustrate a two-dimensional plot of this regre... | bsd-3-clause |
kelseyoo14/Wander | venv_2_7/lib/python2.7/site-packages/pandas/computation/expressions.py | 14 | 8135 | """
Expressions
-----------
Offer fast expression evaluation through numexpr
"""
import warnings
import numpy as np
from pandas.core.common import _values_from_object
from distutils.version import LooseVersion
try:
import numexpr as ne
ver = ne.__version__
_NUMEXPR_INSTALLED = ver >= LooseVersion('2.1')... | artistic-2.0 |
RapidApplicationDevelopment/tensorflow | tensorflow/contrib/learn/python/learn/tests/dataframe/in_memory_source_test.py | 30 | 3738 | # 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 |
debsankha/bedtime-programming | monte_carlo/montecarlo_visual.py | 2 | 2794 | #import numpy as np
from random import uniform
from math import *
from visual import *
#let's first calculate the initial Energy
### Here J is taken to be negative only because the expression of energy does not have a -ve sign in this program
J=-1.0
#k=1.0
t=10
F=-0.1
beta=1/t
print 't is\t',t
#the size of the lattic... | gpl-3.0 |
AngLi-Leon/peloton | test/altertable/testAlterTable.py | 1 | 6698 | #!/usr/bin/env python
from __future__ import print_function
import os
import sys
import argparse
import time
import numpy as np
import matplotlib.pyplot as plt
import string
from genTable import *
peloton_command = "psql \"sslmode=disable\" -U postgres -h localhost"
postgres_command = "sudo -u postgres psql"
def... | apache-2.0 |
hesseltuinhof/mxnet | python/mxnet/model.py | 2 | 39119 | # pylint: disable=fixme, invalid-name, too-many-arguments, too-many-locals, too-many-lines
# pylint: disable=too-many-branches, too-many-statements
"""MXNet model module"""
from __future__ import absolute_import, print_function
import time
import logging
import warnings
from collections import namedtuple
import numpy ... | apache-2.0 |
RPGOne/Skynet | scikit-learn-0.18.1/sklearn/_build_utils/__init__.py | 80 | 2644 | """
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... | bsd-3-clause |
thilbern/scikit-learn | examples/missing_values.py | 11 | 2679 | """
======================================================
Imputing missing values before building an estimator
======================================================
This example shows that imputing the missing values can give better results
than discarding the samples containing any missing value.
Missing values ca... | bsd-3-clause |
yunfeilu/scikit-learn | sklearn/datasets/lfw.py | 141 | 19372 | """Loader for the Labeled Faces in the Wild (LFW) dataset
This dataset is a collection of JPEG pictures of famous people collected
over the internet, all details are available on the official website:
http://vis-www.cs.umass.edu/lfw/
Each picture is centered on a single face. The typical task is called
Face Veri... | bsd-3-clause |
michaelld/gnuradio | gr-fec/python/fec/polar/channel_construction.py | 7 | 4644 | #!/usr/bin/env python
#
# Copyright 2015 Free Software Foundation, Inc.
#
# 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 option)
# any later version.
#
# GNU Radio is... | gpl-3.0 |
jstoxrocky/statsmodels | statsmodels/sandbox/panel/mixed.py | 31 | 21019 | """
Mixed effects models
Author: Jonathan Taylor
Author: Josef Perktold
License: BSD-3
Notes
------
It's pretty slow if the model is misspecified, in my first example convergence
in loglike is not reached within 2000 iterations. Added stop criteria based
on convergence of parameters instead.
With correctly specifi... | bsd-3-clause |
matthew-tucker/mne-python | examples/stats/plot_cluster_stats_time_frequency_repeated_measures_anova.py | 5 | 9282 | """
====================================================================
Mass-univariate twoway repeated measures ANOVA on single trial power
====================================================================
This script shows how to conduct a mass-univariate repeated measures
ANOVA. As the model to be fitted assume... | bsd-3-clause |
hyflashstar/gupiao | src/PairTrading.py | 1 | 3953 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 24 20:35:51 2017
@author: 53771
"""
import re
import pandas as pd
import numpy as np
import statsmodels.api as sm
from arch.unitroot import ADF
class PairTrading:
def SSD(self,priceX,priceY):
if priceX is None or priceY is None:
print('缺少价格序列')
... | apache-2.0 |
robbymeals/scikit-learn | sklearn/metrics/__init__.py | 52 | 3394 | """
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... | bsd-3-clause |
uglyboxer/linear_neuron | net-p3/lib/python3.5/site-packages/matplotlib/tests/test_legend.py | 9 | 9232 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import xrange
try:
# mock in python 3.3+
from unittest import mock
except ImportError:
import mock
from nose.tools import assert_equal
import numpy as np
from matplotlib.t... | mit |
tobikausk/nest-simulator | extras/ConnPlotter/tcd_nest.py | 15 | 6952 | # -*- coding: utf-8 -*-
#
# tcd_nest.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST 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 2 of the License, or
# ... | gpl-2.0 |
desihub/desispec | py/desispec/desi_proc_time_distribution.py | 1 | 17603 | import argparse
import os,glob
import astropy
from astropy.io import fits
from astropy.table import QTable,vstack
import pandas as pd
import time,datetime
import numpy as np
import psutil
from os import listdir
import matplotlib.pyplot as plt
#import desispec.io as desi_io
class DESI_PROC_TIME_DISTRIBUTION(object):... | bsd-3-clause |
DLlearn/keras | examples/addition_rnn.py | 50 | 5900 | # -*- coding: utf-8 -*-
from __future__ import print_function
from keras.models import Sequential, slice_X
from keras.layers.core import Activation, Dense, RepeatVector
from keras.layers import recurrent
from sklearn.utils import shuffle
import numpy as np
"""
An implementation of sequence to sequence learning for per... | mit |
andybrnr/QuantEcon.py | scripts/test-examples.py | 2 | 2743 | #!/usr/bin/python
"""
Test script for QuantEcon executables
=====================================
examples/*.py
solutions/*.ipynb
This script uses a context manager to redirect stdout and stderr
to capture runtime errors for writing to the log file. It also
reports basic execution statistics on the command li... | bsd-3-clause |
wetdesert/rad2py | psp2py/controllers/estimate.py | 8 | 6937 | # coding: utf8
# try something like
from statistics import calc_correlation, calc_significance, calc_linear_regression, calc_student_t_probability, calc_prediction_interval
from draws import draw_linear_regression
def get_projects_metrics():
"Query size and time metrics series summarized by project"
q = d... | gpl-3.0 |
brsaylor/atn-tools | atntools/convergenceprocess.py | 1 | 9223 | """
Automation for generating simulations for Convergence
"""
import os
import glob
import re
import logging
import copy
from collections import OrderedDict, Counter
import json
import pprint
import matplotlib.pyplot as plt
from atntools import settings, util, simulation, nodeconfigs, foodwebs, plotting
MAX_TIMESTE... | gpl-3.0 |
willettk/chile2015-gender | stacked_plots.py | 1 | 8132 | from __future__ import division
from matplotlib import pyplot as plt
import numpy as np
plt.ion()
import pandas as pd
gencolors =('purple','orange')
q = pd.read_csv('question_data.csv')
c = pd.read_csv('chair_data.csv')
fig = plt.figure(1,(12,6))
# Speakers
vc_speakers = q['speaker'].value_counts()
# Speakers
qa=l... | mit |
astocko/statsmodels | statsmodels/datasets/modechoice/data.py | 25 | 3031 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""Travel Mode Choice"""
__docformat__ = 'restructuredtext'
COPYRIGHT = """This is public domain."""
TITLE = __doc__
SOURCE = """
Greene, W.H. and D. Hensher (1997) Multinomial logit and discrete choice models
in Greene, W. H. (1997) LIMDEP version 7.0 user's manual rev... | bsd-3-clause |
shangwuhencc/scikit-learn | sklearn/svm/tests/test_sparse.py | 70 | 12992 | from nose.tools import assert_raises, assert_true, assert_false
import numpy as np
from scipy import sparse
from numpy.testing import (assert_array_almost_equal, assert_array_equal,
assert_equal)
from sklearn import datasets, svm, linear_model, base
from sklearn.datasets import make_classif... | bsd-3-clause |
ppmm/python-bits | crawler-bjjs.gov.cn.py | 1 | 2935 | #! /usr/bin/python3
# coding:utf-8
'''
北京住房和城乡建设委员会官方网站数据获取；
网站主页为：http://www.bjjs.gov.cn/；
'''
import requests
import datetime
from lxml import etree
from pandas import DataFrame
class BJRealEstate():
def __init__(self):
self.BASE_URL = 'http://www.bjjs.gov.cn/'
self.FYHYLB_BASE_URL = 'http://2... | mit |
ybalgir/Quantop | Lec3.py | 1 | 6221 | #NumPy adds support for multi-dimensional arrays and mathematical functions that allow you
#to easily perform linear algebra calculations.
import numpy as np
import matplotlib.pyplot as plt
stock_list = [3.5, 5, 2.0, 8, 4.2]
returns = np.array(stock_list)
my_Array1 = [[1,2],[3,4],[5,6]]
my_NpArray1 = np.array(my_Arr... | gpl-3.0 |
blond-admin/BLonD | blond/llrf/signal_processing.py | 2 | 16557 | # coding: utf8
# Copyright 2014-2017 CERN. This software is distributed under the
# terms of the GNU General Public Licence version 3 (GPL Version 3),
# copied verbatim in the file LICENCE.md.
# In applying this licence, CERN does not waive the privileges and immunities
# granted to it by virtue of its status as a... | gpl-3.0 |
alexis-roche/register | doc/sphinxext/numpy_ext/docscrape_sphinx.py | 154 | 7759 | import re, inspect, textwrap, pydoc
import sphinx
from docscrape import NumpyDocString, FunctionDoc, ClassDoc
class SphinxDocString(NumpyDocString):
def __init__(self, docstring, config={}):
self.use_plots = config.get('use_plots', False)
NumpyDocString.__init__(self, docstring, config=config)
... | bsd-3-clause |
cxhernandez/msmbuilder | msmbuilder/tests/test_kernel_approximation.py | 9 | 1158 | from __future__ import absolute_import
import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.kernel_approximation import Nystroem as NystroemR
from msmbuilder.decomposition.kernel_approximation import Nystroem, LandmarkNystroem
def test_nystroem_vs_sklearn():
np.random.seed(42)
... | lgpl-2.1 |
nicmcd/ratesim | parser/parser.py | 1 | 9324 | #!/usr/bin/env python3
import argparse
import json
import os
if 'DISPLAY' not in os.environ or os.environ['DISPLAY'] == '':
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from CloseToOne import *
from RawData import *
import numpy
def main(args):
######################################... | bsd-3-clause |
redhat-openstack/rdo-infra | ci-scripts/infra-setup/roles/rrcockpit/files/telegraf/openstack_infra_status.py | 2 | 1592 | #!/usr/bin/env python
import re
from datetime import datetime
import influxdb_utils
import pandas as pd
import requests
from bs4 import BeautifulSoup
infra_status_regexp = re.compile(
'^ *([0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}) *UTC *(.+)$')
infra_status_url = 'https://wiki.openstack.org/wiki/Inf... | apache-2.0 |
google-code-export/nmrglue | doc/_build/html/examples/el/integration/integrate_1d/integrate_1d.py | 10 | 1417 | #! /usr/bin/env python
# Example scipt to show integration of a 1D spectrum
import nmrglue as ng
import numpy as np
import matplotlib.pyplot as plt
# read in the data from a NMRPipe file
dic,data = ng.pipe.read("1d_data.ft")
length = data.shape[0]
# read in the integration limits
peak_list = np.recfromtxt("limits.in... | bsd-3-clause |
prabhamatta/Analyzing-Open-Data | notebooks/Day_17_Midterm_with_Answers.py | 2 | 21670 | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <markdowncell>
# *Working with Open Data* Midterm (March 18, 2014)
#
# There are **94** points in this exam: 2 each for the **47 questions**. The questions are either **multiple choice** or **short answers**. For **multiple choice**, just write the **number** o... | apache-2.0 |
mvnnn/tardis | tardis/conftest.py | 5 | 5073 | from astropy.tests.pytest_plugins import *
def pytest_addoption(parser):
parser.addoption("--remote-data", action="store_true",
help="run tests with online data")
parser.addoption("--open-files", action="store_true",
help="fail if any test leaves files open")
par... | bsd-3-clause |
gfyoung/pandas | scripts/tests/test_validate_docstrings.py | 4 | 12511 | import io
import textwrap
import pytest
import validate_docstrings
class BadDocstrings:
"""Everything here has a bad docstring"""
def private_classes(self):
"""
This mentions NDFrame, which is not correct.
"""
def prefix_pandas(self):
"""
Have `pandas` prefix in ... | bsd-3-clause |
lbdreyer/cartopy | lib/cartopy/tests/mpl/test_caching.py | 1 | 8343 | # (C) British Crown Copyright 2011 - 2012, Met Office
#
# This file is part of cartopy.
#
# cartopy is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation, either version 3 of the License, or
# (at your option)... | lgpl-3.0 |
clingsz/GAE | main.py | 1 | 1502 | # -*- coding: utf-8 -*-
"""
Created on Wed May 10 12:38:40 2017
@author: cling
"""
def summarizing_cross_validation():
import misc.cv.collect_ND5_3 as cv
cv.fig_boxplot_cverr()
def test_trainer():
import misc.data_gen as dg
import gae.model.trainer as tr
data = dg.get_training_data()
... | gpl-3.0 |
yanlend/scikit-learn | 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 |
lthurlow/Network-Grapher | proj/external/matplotlib-1.2.1/lib/mpl_examples/pylab_examples/fonts_demo_kw.py | 12 | 2091 | #!/usr/bin/env python
"""
Same as fonts_demo using kwargs. If you prefer a more pythonic, OO
style of coding, see examples/fonts_demo.py.
"""
from matplotlib.font_manager import FontProperties
from pylab import *
subplot(111, axisbg='w')
alignment = {'horizontalalignment':'center', 'verticalalignment':'baseline'}
##... | mit |
adiIspas/Machine-Learning_A-Z | Machine Learning A-Z/Part 9 - Dimensionality Reduction/Section 45 - Kernel PCA/kernel_pca.py | 5 | 2844 | # Kernel PCA
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Social_Network_Ads.csv')
X = dataset.iloc[:, [2, 3]].values
y = dataset.iloc[:, 4].values
# Splitting the dataset into the Training set and Test set
from sklear... | mit |
kyleam/pymc3 | pymc/tests/test_plots.py | 2 | 1714 | import matplotlib
matplotlib.use('Agg', warn=False)
import numpy as np
from .checks import close_to
import pymc.plots
from pymc.plots import *
from pymc import Slice, Metropolis, find_hessian, sample
def test_plots():
# Test single trace
from pymc.examples import arbitrary_stochastic as asmod
with asm... | apache-2.0 |
arahuja/scikit-learn | sklearn/neighbors/tests/test_kde.py | 13 | 5622 | import numpy as np
from sklearn.utils.testing import (assert_allclose, assert_raises,
assert_equal)
from sklearn.neighbors import KernelDensity, KDTree, NearestNeighbors
from sklearn.neighbors.ball_tree import kernel_norm
from sklearn.pipeline import make_pipeline
from sklearn.dataset... | bsd-3-clause |
neale/CS-program | 434-MachineLearning/final_project/linearClassifier/sklearn/utils/tests/test_linear_assignment.py | 421 | 1349 | # Author: Brian M. Clapper, G Varoquaux
# License: BSD
import numpy as np
# XXX we should be testing the public API here
from sklearn.utils.linear_assignment_ import _hungarian
def test_hungarian():
matrices = [
# Square
([[400, 150, 400],
[400, 450, 600],
[300, 225, 300]],
... | unlicense |
lucaslugao/artOptimal | src/verificationTool.py | 1 | 1789 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: lugao
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
def build(instructions, w, h):
np.random.seed(w*h)
v = np.zeros((h,w), dtype = np.int32)
for l in instructions:
lsplit = l.split(',')
x = int(l... | mit |
libsmelt/libsmelt | scripts/plotsetup.py | 1 | 1425 | from matplotlib import rc
import matplotlib
matplotlib.rcParams['text.latex.preamble']=[""]
params = {#'text.usetex' : False,
'font.size' : 15,
'font.family' : 'sans-serif',
#'text.latex.unicode': True,
}
matplotlib.rcParams.update(params)
matplotlib.rc('xtick', labelsize=15)
m... | mit |
BorisJeremic/Real-ESSI-Examples | analytic_solution/test_cases/Contact/Coupled_Contact/Steady_State_Single_Foundation_Sysytem_Under_Tension/CoupledSoftContact_NonLinHardShear/n_0.3/Plot_Results.py | 15 | 3554 | #!/usr/bin/env python
#!/usr/bin/python
import h5py
from matplotlib import pylab
import matplotlib.pylab as plt
import sys
from matplotlib.font_manager import FontProperties
import math
import numpy as np
#!/usr/bin/python
import h5py
import matplotlib.pylab as plt
import matplotlib as mpl
import sys
import numpy as ... | cc0-1.0 |
amaurywalbert/twitter | graphs_examples/pyGraph.py | 2 | 1839 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# pyGraph
#
# Copyright 2014 Leandro <Leandro@leandrowar>
#
import networkx as nx
import matplotlib.pyplot as plt
#A entrada do grafo deve ser um array com as conexões da rede
graph = [
('Green Bay Packers','Miami'),
('New York Jets','Miami'),
('Baltimore Col... | gpl-3.0 |
michigraber/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 |
jmetzen/scikit-learn | examples/linear_model/plot_robust_fit.py | 26 | 2701 | """
Robust linear estimator fitting
===============================
Here a sine function is fit with a polynomial of order 3, for values
close to zero.
Robust fitting is demoed in different situations:
- No measurement errors, only modelling errors (fitting a sine with a
polynomial)
- Measurement errors in X
- M... | bsd-3-clause |
bloody76/pyLDAvis | docs/conf.py | 7 | 8806 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# pyLDAvis documentation build configuration file, created by
# sphinx-quickstart on Tue Jul 9 22:26:36 2013.
#
# 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
# au... | bsd-3-clause |
WangWenjun559/Weiss | summary/sumy/sklearn/datasets/base.py | 196 | 18554 | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import os
import csv
import shutil
from os import environ
from os.pa... | apache-2.0 |
koorukuroo/networkx_for_unicode | build/lib/networkx/readwrite/tests/test_gml.py | 9 | 4408 | #!/usr/bin/env python
# encoding: utf-8
from __future__ import unicode_literals
import io
from nose.tools import *
from nose import SkipTest
import networkx
class TestGraph(object):
@classmethod
def setupClass(cls):
global pyparsing
try:
import pyparsing
except ImportError:... | bsd-3-clause |
chaubold/hytra | scripts/error_visualisation.py | 1 | 7025 | from __future__ import print_function, absolute_import, nested_scopes, generators, division, with_statement, unicode_literals
import numpy as np
import logging
import configargparse as argparse
import glob
from skimage.external import tifffile
import matplotlib.pyplot as plt
import matplotlib
from math import ceil
impo... | mit |
Vimos/scikit-learn | examples/plot_compare_reduction.py | 45 | 4959 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
=================================================================
Selecting dimensionality reduction with Pipeline and GridSearchCV
=================================================================
This example constructs a pipeline that does dimensionality
reduction f... | bsd-3-clause |
hiteshagrawal/python | public-data/food.py | 1 | 2326 | #!/usr/bin/python
import csv, pandas
from collections import Counter
#fh = open('food.csv','r')
with open('food.csv','r') as fh:
records = list(csv.DictReader(fh))
print type(records)
print len(records)
#fh.close()
## Find out the number of restaurant which passed ,failed the food test
passed = [pass1 for pass1 in ... | gpl-2.0 |
hsiaoyi0504/scikit-learn | sklearn/cluster/tests/test_affinity_propagation.py | 341 | 2620 | """
Testing for Clustering methods
"""
import numpy as np
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.cluster.affinity_propagation_ import AffinityPropagation
from sklearn.cluster.affinity_propagatio... | bsd-3-clause |
toobaz/pandas | pandas/tests/frame/test_sorting.py | 2 | 26264 | import random
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
IntervalIndex,
MultiIndex,
NaT,
Series,
Timestamp,
date_range,
)
from pandas.api.types import CategoricalDtype
from pandas.tests.frame.common import TestData
import pandas.ut... | bsd-3-clause |
rishikksh20/scikit-learn | sklearn/ensemble/tests/test_base.py | 33 | 5168 | """
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 |
aiguofer/bokeh | scripts/interactive_tester.py | 6 | 9332 | from __future__ import print_function
import argparse
import importlib
import os
from shutil import rmtree
from six.moves import input
import sys
import textwrap
import time
import json
# TODO:
# catch and log exceptions in examples files that fail to open
DIRECTORIES = {
'plotting-file' : '../../example... | bsd-3-clause |
kfoss/keras | tests/manual/check_callbacks.py | 82 | 7540 | import numpy as np
import random
import theano
from keras.models import Sequential
from keras.callbacks import Callback
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.regularizers import l2
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.utils import np_utils... | mit |
petosegan/scikit-learn | examples/mixture/plot_gmm_pdf.py | 284 | 1528 | """
=============================================
Density Estimation for a mixture of Gaussians
=============================================
Plot the density estimation of a mixture of two Gaussians. Data is
generated from two Gaussians with different centers and covariance
matrices.
"""
import numpy as np
import ma... | bsd-3-clause |
mdrumond/tensorflow | tensorflow/contrib/learn/__init__.py | 42 | 2596 | # 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 |
jorge2703/scikit-learn | benchmarks/bench_sgd_regression.py | 283 | 5569 | """
Benchmark for SGD regression
Compares SGD regression against coordinate descent and Ridge
on synthetic data.
"""
print(__doc__)
# Author: Peter Prettenhofer <peter.prettenhofer@gmail.com>
# License: BSD 3 clause
import numpy as np
import pylab as pl
import gc
from time import time
from sklearn.linear_model i... | bsd-3-clause |
spbguru/repo1 | external/linux32/lib/python2.6/site-packages/matplotlib/lines.py | 69 | 48233 | """
This module contains all the 2D line class which can draw with a
variety of line styles, markers and colors.
"""
# TODO: expose cap and join style attrs
from __future__ import division
import numpy as np
from numpy import ma
from matplotlib import verbose
import artist
from artist import Artist
from cbook import ... | gpl-3.0 |
Solid-Mechanics/matplotlib-4-abaqus | mpl_toolkits/mplot3d/axes3d.py | 4 | 83550 | #!/usr/bin/python
# axes3d.py, original mplot3d version by John Porter
# Created: 23 Sep 2005
# Parts fixed by Reinier Heeres <reinier@heeres.eu>
# Minor additions by Ben Axelrod <baxelrod@coroware.com>
# Significant updates and revisions by Ben Root <ben.v.root@gmail.com>
"""
Module containing Axes3D, an object which... | mit |
dbednarski/pyhdust | pyhdust/interftools.py | 1 | 48126 | #-*- coding:utf-8 -*-
"""
PyHdust *interftools* module: interferometry tools
`colors` keep the *amdlib* standard.
A biblioteca python XDRLIB eh MUITO lenta... Usa muitas listas!!!
>>> import xdrlib
A biblioteca PYDAP estah em desenvolvimento... Eh complicada de usar
>>> from pydap.model import *
>>> from pydap.x... | gpl-3.0 |
megahertz0/tusharedemo | base.py | 1 | 2877 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 15 12:34:11 2017
@author: megahertz
"""
import pandas as pd
import traceback
import sys
import os
OUTPUT_DIR = './output/'
STOCK_DATA_DIR = OUTPUT_DIR + 'kdata/'
MACD_FASTPERIOD=12
MACD_SLOWPERIOD=26
MACD_SIGNALPERIOD=9
MA_FAST = 5
MA_MIDDLE = 10
MA_SLOW = 20
class U... | lgpl-3.0 |
zihua/scikit-learn | sklearn/tests/test_metaestimators.py | 52 | 4990 | """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 |
eladnoor/optslope | scripts/fba.py | 1 | 4485 | #!/usr/bin/python
from copy import deepcopy
import matplotlib.pyplot as plt
from src.analysis_toolbox import plot_multi_PPP
from src import models
from src.optknock import OptKnock
from src.html_writer import HtmlWriter
def main():
main_html = HtmlWriter('res/fba.html')
main_html.write('<h1>Flux Balance Anal... | mit |
epfl-lts2/pygsp | pygsp/graphs/_io.py | 1 | 20943 | # -*- coding: utf-8 -*-
import os
import numpy as np
def _import_networkx():
try:
import networkx as nx
except Exception as e:
raise ImportError('Cannot import networkx. Use graph-tool or try to '
'install it with pip (or conda) install networkx. '
... | bsd-3-clause |
ilo10/scikit-learn | sklearn/feature_extraction/text.py | 110 | 50157 | # -*- coding: utf-8 -*-
# Authors: Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Lars Buitinck <L.J.Buitinck@uva.nl>
# Robert Layton <robertlayton@gmail.com>
# Jochen Wersdörfer <jochen@wersdoerfer.de>
# Roman Sinayev <roman.sinayev@gma... | bsd-3-clause |
compops/gpo-abc2015 | scripts-paper/example1-gposmc.py | 2 | 5416 | ##############################################################################
##############################################################################
# Estimating the volatility of synthetic data
# using a stochastic volatility (SV) model with Gaussian log-returns.
#
# The SV model is inferred using the GP... | mit |
jrderuiter/pybiomart | src/pybiomart/server.py | 1 | 3017 | from __future__ import absolute_import, division, print_function
# pylint: disable=wildcard-import,redefined-builtin,unused-wildcard-import
from builtins import *
# pylint: enable=wildcard-import,redefined-builtin,unused-wildcard-import
from xml.etree.ElementTree import fromstring as xml_from_string
import pandas as... | mit |
flaviovdf/pyksc | src/pyksc/trend.py | 1 | 1228 | #-*- coding: utf8
import _trend
from sklearn.base import BaseEstimator
from sklearn.base import ClassifierMixin
import numpy as np
class TrendLearner(BaseEstimator, ClassifierMixin):
def __init__(self, num_steps, gamma=1):
self.num_steps = num_steps
self.gamma = gamma
self.num_labels = ... | bsd-3-clause |
jminyu/PatternRecognition_library | Pattern_Recognition_lib.py | 1 | 2816 | #__Author = 'Jongmin Yu' @ Ph.D Candidate @ GIST-MLV
#__Laboratory of Machine Learning and Computer Vision
#
#--Title.Gaussian probability density function for image file
#__data format = numpy
#
from math import sqrt
from parser import st2list
import matplotlib
__author__ = 'Schmitz'
from matplotlib import pyplot a... | gpl-3.0 |
murali-munna/scikit-learn | examples/model_selection/randomized_search.py | 201 | 3214 | """
=========================================================================
Comparing randomized search and grid search for hyperparameter estimation
=========================================================================
Compare randomized search and grid search for optimizing hyperparameters of a
random forest.
... | bsd-3-clause |
jviada/QuantEcon.py | quantecon/tests/tests_models/tests_solow/test_model.py | 7 | 5514 | """
Test suite for solow module.
@author : David R. Pugh
@date : 2014-11-27
"""
from __future__ import division
import nose
import matplotlib.pyplot as plt
import numpy as np
import sympy as sym
from .... models import solow
# declare key variables for the model
A, E, k, K, L = sym.symbols('A, E, k, K, L')
# decl... | bsd-3-clause |
sinomiko/project | IdeaProjects/PandasProj/PandasCourse5.py | 1 | 9510 | # encoding: utf-8
import pandas as pd
import numpy as np
# 1.2 实验知识点
#
# 时间戳 Timestamp
# 时间索引 DatetimeIndex
# 时间转换 to_datatime
# 时间序列检索
# 时间序列计算
# 二、时间序列分析介绍
#
# 2.1 简介
#
# 时间序列（英语：time series）是实证经济学的一种统计方法，它是采用时间排序的一组随机变量，国内生产毛额（GDP）、消费者物价指数（CPI）、股价指数、利率、汇率等等都是时间序列。时间序列的时间间隔可以是分秒（如高频金融数据），可以是日、周、月、季度、年、甚至更大的时间单位。... | bsd-3-clause |
JoshuaMichaelKing/Stock-SentimentAnalysis | correlation.py | 1 | 7514 | #!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import division
import os, sys
import datetime as dt
from math import sqrt
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter, MaxNLocator
import iohel... | mit |
DailyActie/Surrogate-Model | 01-codes/scikit-learn-master/sklearn/datasets/svmlight_format.py | 1 | 16064 | """This module implements a loader and dumper for the svmlight format
This format is a text-based format, with one sample per line. It does
not store zero valued features hence is suitable for sparse dataset.
The first element of each line can be used to store a target variable to
predict.
This format is used as the... | mit |
mcdeaton13/dynamic | Python/dynamic/demographics.py | 2 | 18580 | '''
------------------------------------------------------------------------
Last updated 7/13/2015
Functions for generating omega, the T x S array which describes the
demographics of the population
This py-file calls the following other file(s):
utils.py
data\demographic\demographic_data.csv
... | mit |
jjo31/ATHAM-Fluidity | tests/mms_sediment/function_printer.py | 4 | 1117 | from mms_sediment_tools import *
from numpy import *
import matplotlib
import matplotlib.pyplot as plt
import sys
'''
run using:
python function_printer.py AA BB CC DD .. n_rows
where:
AA, BB, CC, DD are names of functions in mms_rans_p2p1_keps_tools.py (any number can be entered)
n_rows is the number of rows to dis... | lgpl-2.1 |
voxlol/scikit-learn | sklearn/tree/tests/test_export.py | 76 | 9318 | """
Testing for export functions of decision trees (sklearn.tree.export).
"""
from numpy.testing import assert_equal
from nose.tools import assert_raises
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from sklearn.tree import export_graphviz
from sklearn.externals.six import StringIO
# toy sa... | bsd-3-clause |
RecipeML/Recipe | utils/partitionpy/partitioning.py | 1 | 3339 | # -*- coding: utf-8 -*-
import sys
import arff
from os import listdir
import os
import pandas as pd
import numpy as np
from sklearn.model_selection import StratifiedKFold
import progress
def to_csv(filename):
data = arff.load(open(filename, 'rb'))
name = filename.strip().split('.')[0]
header = ','.join(str(x... | gpl-3.0 |
sirrice/pyplot | pygg/pygg.py | 2 | 26233 | """
run the following for help
python bin/runpygg.py --help
"""
import os
import re
import subprocess
import csv
import tempfile
import pandas
quote1re = re.compile('"')
quote2re = re.compile("'")
R_IMAGE_SIZE = 7 # in inches
IPYTHON_IMAGE_SIZE = 800 # in pixels
def esc(mystr):
"""Escape string... | mit |
rougier/Neurosciences | superior-colliculus/taouali-et-at-2014/fig-single-stimuli.py | 1 | 3406 | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright INRIA
# Contributors: Wahiba Taouali (Wahiba.Taouali@inria.fr)
# Nicolas P. Rougier (Nicolas.Rougier@inria.fr)
#
# This software is governed by the CeCILL license under French law and abidin... | bsd-3-clause |
markslwong/tensorflow | tensorflow/examples/learn/mnist.py | 45 | 3999 | # 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 appl... | apache-2.0 |
yuanagain/seniorthesis | venv/lib/python2.7/site-packages/matplotlib/markers.py | 8 | 26608 | """
This module contains functions to handle markers. Used by both the
marker functionality of `~matplotlib.axes.Axes.plot` and
`~matplotlib.axes.Axes.scatter`.
All possible markers are defined here:
============================== ===============================================
marker descrip... | mit |
BenW0/Ctrl_Design_GUI | dumpreader.py | 1 | 7744 | ########################################################
# Control Design GUI: plotting.py
# Handles plotting tasks for the GUI.
#
# This set of routines is called from actions on the GUI;
# so the actual calling code is found in the machine.xml's
# <Command> field.
#
# Ben Weiss, University of Washington
# Spring 2014... | mit |
jakobworldpeace/scikit-learn | sklearn/linear_model/sag.py | 1 | 12700 | """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... | bsd-3-clause |
shoeffner/cvloop | cvloop/cvloop.py | 1 | 18252 | """Provides a videoloop to be used in jupyter notebooks.
It automatically selects the notebook backend for matplotlib, if the
default notebook backend (inline) is detected.
"""
import itertools
from IPython.core.getipython import get_ipython
from IPython.core.magics.pylab import PylabMagics
import numpy as np
impor... | mit |
imaculate/scikit-learn | examples/bicluster/bicluster_newsgroups.py | 142 | 7183 | """
================================================================
Biclustering documents with the Spectral Co-clustering algorithm
================================================================
This example demonstrates the Spectral Co-clustering algorithm on the
twenty newsgroups dataset. The 'comp.os.ms-windows... | bsd-3-clause |
ishanic/scikit-learn | sklearn/linear_model/tests/test_ridge.py | 130 | 22974 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_a... | bsd-3-clause |
KrisCheng/ML-Learning | archive/MOOC/Deeplearning_AI/ImprovingDeepNeuralNetworks/HyperparameterTuning/Tensorflow+Tutorial.py | 1 | 37910 |
# coding: utf-8
# # TensorFlow Tutorial
#
# Welcome to this week's programming assignment. Until now, you've always used numpy to build neural networks. Now we will step you through a deep learning framework that will allow you to build neural networks more easily. Machine learning frameworks like TensorFlow, Paddle... | mit |
lucidfrontier45/scikit-learn | sklearn/feature_extraction/tests/test_dict_vectorizer.py | 4 | 2866 | # Author: Lars Buitinck <L.J.Buitinck@uva.nl>
# License: BSD-style.
from random import Random
import numpy as np
import scipy.sparse as sp
from nose.tools import assert_equal
from nose.tools import assert_true
from nose.tools import assert_false
from numpy.testing import assert_array_equal
from sklearn.feature_extra... | bsd-3-clause |
Ninjakow/TrueSkill | lib/numpy/core/fromnumeric.py | 22 | 98126 | """Module containing non-deprecated functions borrowed from Numeric.
"""
from __future__ import division, absolute_import, print_function
import types
import warnings
import numpy as np
from .. import VisibleDeprecationWarning
from . import multiarray as mu
from . import umath as um
from . import numerictypes as nt
... | gpl-3.0 |
wzhfy/spark | python/pyspark/sql/tests/test_pandas_udf_grouped_agg.py | 1 | 20739 | #
# 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 |
calico/basenji | bin/basenji_predict.py | 1 | 8002 | #!/usr/bin/env python
# Copyright 2017 Calico 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 ... | apache-2.0 |
admcrae/tensorflow | tensorflow/python/estimator/inputs/queues/feeding_queue_runner_test.py | 116 | 5164 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | apache-2.0 |
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