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 |
|---|---|---|---|---|---|
DailyActie/Surrogate-Model | 01-codes/scikit-learn-master/examples/model_selection/grid_search_digits.py | 1 | 2672 | """
============================================================
Parameter estimation using grid search with cross-validation
============================================================
This examples shows how a classifier is optimized by cross-validation,
which is done using the :class:`sklearn.model_selection.GridS... | mit |
upliftaero/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 |
fivejjs/crosscat | crosscat/starcluster_plugin.py | 1 | 2737 | #!python
#
# Copyright (c) 2010-2014, MIT Probabilistic Computing Project
#
# Lead Developers: Dan Lovell and Jay Baxter
# Authors: Dan Lovell, Baxter Eaves, Jay Baxter, Vikash Mansinghka
# Research Leads: Vikash Mansinghka, Patrick Shafto
#
# Licensed under the Apache License, Version 2.0 (the "License");
# ... | apache-2.0 |
HyukjinKwon/spark | python/pyspark/pandas/tests/test_ops_on_diff_frames.py | 14 | 74918 | #
# 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 |
Jorge-C/bipy | doc/sphinxext/numpydoc/numpydoc/tests/test_docscrape.py | 39 | 18326 | # -*- encoding:utf-8 -*-
from __future__ import division, absolute_import, print_function
import sys, textwrap
from numpydoc.docscrape import NumpyDocString, FunctionDoc, ClassDoc
from numpydoc.docscrape_sphinx import SphinxDocString, SphinxClassDoc
from nose.tools import *
if sys.version_info[0] >= 3:
sixu = la... | bsd-3-clause |
emilopez/titi | titiQt/sacd/visualization.py | 1 | 4127 | # -*- encoding: utf8 -*-
import numpy as np
import os
#import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import processing
def generateMap(maptype,level,textEdit):
""" Función que genera el mapa planisferio del mundo
Utilizando el parámetro maptype se genera el mapamundi.
Dependie... | gpl-3.0 |
qrsforever/workspace | python/learn/thinkstats/estimate.py | 1 | 3306 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""This file contains code used in "Think Stats",
by Allen B. Downey, available from greenteapress.com
Copyright 2010 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
import math
import matplotlib.pyplot as pyplot
import myplot
import Pmf
import ... | mit |
stulp/dmpbbo | demos_python/dmp/demoTrainDmp.py | 1 | 3240 | # This file is part of DmpBbo, a set of libraries and programs for the
# black-box optimization of dynamical movement primitives.
# Copyright (C) 2018 Freek Stulp
#
# DmpBbo 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... | lgpl-2.1 |
OPM/ResInsight | ThirdParty/Ert/python/ecl/summary/ecl_sum_vector.py | 2 | 9806 | # Copyright (C) 2017 Equinor ASA, Norway.
#
# This file is part of ERT - Ensemble based Reservoir Tool.
#
# ERT is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at ... | gpl-3.0 |
rahul-c1/scikit-learn | sklearn/utils/estimator_checks.py | 3 | 35097 | from __future__ import print_function
import warnings
import sys
import traceback
import inspect
import pickle
import numpy as np
from scipy import sparse
import struct
from sklearn.externals.six.moves import zip
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_equal
from skle... | bsd-3-clause |
jbloomlab/dms_tools | tests/test_merge_diffsel.py | 1 | 2487 | """Tests merging of differential selection by ``dms_merge`` program.
Written by Jesse Bloom."""
import sys
import os
import unittest
import subprocess
import numpy
import pandas
class TestMergeCounts(unittest.TestCase):
"""Runs ``dms_merge`` on test data to average differential selection values.
"""
d... | gpl-3.0 |
cbertinato/pandas | pandas/tests/reshape/merge/test_merge_index_as_string.py | 7 | 5670 | import numpy as np
import pytest
from pandas import DataFrame
from pandas.util.testing import assert_frame_equal
@pytest.fixture
def df1():
return DataFrame(dict(
outer=[1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 4],
inner=[1, 2, 3, 1, 2, 3, 4, 1, 2, 1, 2],
v1=np.linspace(0, 1, 11)))
@pytest.fixture... | bsd-3-clause |
slinderman/pyhsmm_spiketrains | experiments/make_figure6.py | 1 | 5868 | """
Plot the MCMC samples for the hippocampal dataset.
"""
import os
import cPickle
import gzip
from collections import namedtuple
import numpy as np
from scipy.io import loadmat
import matplotlib
matplotlib.rcParams.update({'axes.labelsize': 9,
'xtick.labelsize' : 9,
... | mit |
fabianp/scikit-learn | sklearn/gaussian_process/tests/test_gpr.py | 28 | 11870 | """Testing for Gaussian process regression """
# Author: Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
# Licence: BSD 3 clause
import numpy as np
from scipy.optimize import approx_fprime
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels \
import RBF, Constan... | bsd-3-clause |
ehealthafrica-ci/onadata | onadata/apps/viewer/tests/test_exports.py | 2 | 92916 | import csv
import datetime
import json
import os
import shutil
import StringIO
import tempfile
from time import sleep
import zipfile
from django.conf import settings
from django.core.files.storage import get_storage_class
from django.core.files.temp import NamedTemporaryFile
from django.core.urlresolvers import revers... | bsd-2-clause |
RPGOne/Skynet | scikit-learn-c604ac39ad0e5b066d964df3e8f31ba7ebda1e0e/examples/manifold/plot_manifold_sphere.py | 258 | 5101 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=============================================
Manifold Learning methods on a severed sphere
=============================================
An application of the different :ref:`manifold` techniques
on a spherical data-set. Here one can see the use of
dimensionality reducti... | bsd-3-clause |
johnmgregoire/NanoCalorimetry | lockinmath2b.py | 1 | 5306 | import numpy, h5py, pylab
from PnSC_h5io import *
import scipy.optimize
from matplotlib.ticker import FuncFormatter
def myexpformat(x, pos):
for ndigs in range(5):
lab=(('%.'+'%d' %ndigs+'e') %x).replace('e+0','e').replace('e+','e').replace('e0','').replace('e-0','e')
if eval(lab)==x:
r... | bsd-3-clause |
henrykironde/scikit-learn | examples/cross_decomposition/plot_compare_cross_decomposition.py | 142 | 4761 | """
===================================
Compare cross decomposition methods
===================================
Simple usage of various cross decomposition algorithms:
- PLSCanonical
- PLSRegression, with multivariate response, a.k.a. PLS2
- PLSRegression, with univariate response, a.k.a. PLS1
- CCA
Given 2 multivari... | bsd-3-clause |
JFriel/honours_project | networkx/examples/multigraph/chess_masters.py | 34 | 5104 | #!/usr/bin/env python
"""
An example of the MultiDiGraph clas
The function chess_pgn_graph reads a collection of chess
matches stored in the specified PGN file
(PGN ="Portable Game Notation")
Here the (compressed) default file ---
chess_masters_WCC.pgn.bz2 ---
contains all 685 World Chess Championship matches
from 1... | gpl-3.0 |
imatge-upc/saliency | shallow/preprocessing.py | 2 | 4846 | from lasagne import layers
from lasagne.updates import nesterov_momentum
from nolearn.lasagne import NeuralNet,BatchIterator
import os
import numpy as np
from sklearn.utils import shuffle
import cPickle as pickle
import matplotlib.pyplot as plt
import Image
import ImageOps
from scipy import misc
import scipy.io
import ... | mit |
kursawe/MCSTracker | paper/Figures/initial_mapping_figure/make_initial_mapping_plot.py | 1 | 4143 | # Copyright 2016 Jochen Kursawe. See the LICENSE file at the top-level directory
# of this distribution and at https://github.com/kursawe/MCSTracker/blob/master/LICENSE.
import tracking
import networkx as nx
import matplotlib as mpl
import matplotlib.pyplot as plt
from os import path
from os.path import dirname
impor... | bsd-3-clause |
valexandersaulys/prudential_insurance_kaggle | venv/lib/python2.7/site-packages/pandas/core/groupby.py | 9 | 140196 | import types
from functools import wraps
import numpy as np
import datetime
import collections
import warnings
import copy
from pandas.compat import(
zip, builtins, range, long, lzip,
OrderedDict, callable, filter, map
)
from pandas import compat
from pandas.core.base import PandasObject
from pandas.core.cate... | gpl-2.0 |
fspaolo/scikit-learn | examples/decomposition/plot_pca_vs_lda.py | 8 | 1721 | """
=======================================================
Comparison of LDA and PCA 2D projection of Iris dataset
=======================================================
The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour
and Virginica) with 4 attributes: sepal length, sepal width, petal length
a... | bsd-3-clause |
equialgo/scikit-learn | sklearn/metrics/cluster/tests/test_bicluster.py | 394 | 1770 | """Testing for bicluster metrics module"""
import numpy as np
from sklearn.utils.testing import assert_equal, assert_almost_equal
from sklearn.metrics.cluster.bicluster import _jaccard
from sklearn.metrics import consensus_score
def test_jaccard():
a1 = np.array([True, True, False, False])
a2 = np.array([T... | bsd-3-clause |
Ziqi-Li/bknqgis | pandas/pandas/tests/io/test_clipboard.py | 13 | 4988 | # -*- coding: utf-8 -*-
import numpy as np
from numpy.random import randint
from textwrap import dedent
import pytest
import pandas as pd
from pandas import DataFrame
from pandas import read_clipboard
from pandas import get_option
from pandas.util import testing as tm
from pandas.util.testing import makeCustomDatafra... | gpl-2.0 |
ofgulban/scikit-image | doc/examples/transform/plot_matching.py | 21 | 5132 | """
============================
Robust matching using RANSAC
============================
In this simplified example we first generate two synthetic images as if they
were taken from different view points.
In the next step we find interest points in both images and find
correspondences based on a weighted sum of squ... | bsd-3-clause |
kunwon1/kunwon1-evecentral | periodic/market_dump.py | 1 | 2574 | #import pylab
#import matplotlib
#import matplotlib.text
#import matplotlib.dates
import psycopg
import sys
from mx.DateTime import *
import datetime
import pickle
from numpy import *
sys.path.append('../lib/')
from evecentral import display
#import evec_func
db = psycopg.connect(database='evec', user='evec', host ... | agpl-3.0 |
jmetzen/scikit-learn | examples/plot_johnson_lindenstrauss_bound.py | 127 | 7477 | r"""
=====================================================================
The Johnson-Lindenstrauss bound for embedding with random projections
=====================================================================
The `Johnson-Lindenstrauss lemma`_ states that any high dimensional
dataset can be randomly projected i... | bsd-3-clause |
GbalsaC/bitnamiP | venv/lib/python2.7/site-packages/sklearn/feature_selection/tests/test_rfe.py | 4 | 3061 | """
Testing Recursive feature elimination
"""
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from nose.tools import assert_equal
from scipy import sparse
from sklearn.feature_selection.rfe import RFE, RFECV
from sklearn.datasets import load_iris
from sklearn.metrics import ... | agpl-3.0 |
tmhm/scikit-learn | examples/manifold/plot_swissroll.py | 330 | 1446 | """
===================================
Swiss Roll reduction with LLE
===================================
An illustration of Swiss Roll reduction
with locally linear embedding
"""
# Author: Fabian Pedregosa -- <fabian.pedregosa@inria.fr>
# License: BSD 3 clause (C) INRIA 2011
print(__doc__)
import matplotlib.pyplot... | bsd-3-clause |
chrishokamp/lxmls-toolkit | lxmls/sequences/confusion_matrix.py | 5 | 4337 | import sys
import numpy as np
from lxmls.util.my_math_utils import *
from itertools import izip
import operator
import pdb
## Colour for each pos tag
tag_colors = {
'ADV':'Fuchsia',
'NOUN':'ForestGreen',
'ADP':'Blue',
'PRON':'DarkGreen',
'DET':'Khaki',
'.':'Black',
'PRT':'LightGrey',
'N... | mit |
david-ragazzi/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/_cm.py | 70 | 375423 | """
Color data and pre-defined cmap objects.
This is a helper for cm.py, originally part of that file.
Separating the data (this file) from cm.py makes both easier
to deal with.
Objects visible in cm.py are the individual cmap objects ('autumn',
etc.) and a dictionary, 'datad', including all of these objects.
"""
im... | gpl-3.0 |
Microsoft/hummingbird | tests/test_sklearn_imputer_converter.py | 1 | 3374 | """
Tests sklearn Imputers: MissingIndicator and SimpleImputer
"""
import unittest
import warnings
import numpy as np
import torch
from sklearn.impute import MissingIndicator, SimpleImputer
try:
from sklearn.preprocessing import Imputer
except ImportError:
# Imputer was deprecate in sklearn >= 0.22
Imput... | mit |
emmdim/guifiAnalyzer | proxies/squidparser/squidparser.py | 1 | 3887 | """
This module implements the backend class that communicates with
MongoDB for the database that stores all the collected SQUID logs.
"""
from guifiAnalyzer.lib.squidlog.squidlog import SquidLog
import pandas as pd
import datetime
import os
import fnmatch
from urlparse import urlparse
from tldextract import extrac... | gpl-3.0 |
Srisai85/scikit-learn | examples/linear_model/plot_ridge_path.py | 254 | 1655 | """
===========================================================
Plot Ridge coefficients as a function of the regularization
===========================================================
Shows the effect of collinearity in the coefficients of an estimator.
.. currentmodule:: sklearn.linear_model
:class:`Ridge` Regressi... | bsd-3-clause |
mikeireland/pfi | pfi/snr_back_of_envelope.py | 1 | 8587 | """ 24.1 to 24.8 microns is Q
Hi-5:
snr.maglim([3.5,4.1], [290], diam=8, eta_c=0.4, eta_w=0.25, t_int=3600, snr=5, n_tel=4)
"""
#bp=[3.3,4.2]
#"{0:5.1f} & {1:5.1f} & {2:5.1f}".format(maglim(bp,280),maglim(bp,270),maglim(bp,220))
from __future__ import division, print_function
import numpy as np
import scipy.optimiz... | mit |
ningchi/scikit-learn | examples/bicluster/plot_spectral_coclustering.py | 276 | 1736 | """
==============================================
A demo of the Spectral Co-Clustering algorithm
==============================================
This example demonstrates how to generate a dataset and bicluster it
using the the Spectral Co-Clustering algorithm.
The dataset is generated using the ``make_biclusters`` f... | bsd-3-clause |
equialgo/scikit-learn | sklearn/cluster/dbscan_.py | 24 | 12278 | # -*- coding: utf-8 -*-
"""
DBSCAN: Density-Based Spatial Clustering of Applications with Noise
"""
# Author: Robert Layton <robertlayton@gmail.com>
# Joel Nothman <joel.nothman@gmail.com>
# Lars Buitinck
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from ..base import BaseEst... | bsd-3-clause |
optimizers/nlpy | nlpy/tools/nlpy_pprof2.py | 3 | 1315 | #!/usr/bin/env python
# Main driver for performance profiles.
from nlpy import __version__
from nlpy.tools.pprof2 import PerformanceProfile
from optparse import OptionParser
import matplotlib.pyplot as plt
import sys
usage_msg = """%prog [options] file1 file2 [... fileN]
where file1 through fileN contain the statisti... | gpl-3.0 |
bert9bert/statsmodels | statsmodels/tsa/statespace/tools.py | 1 | 67506 | """
Statespace Tools
Author: Chad Fulton
License: Simplified-BSD
"""
from __future__ import division, absolute_import, print_function
import numpy as np
from scipy.linalg import solve_sylvester
import pandas as pd
from statsmodels.tools.data import _is_using_pandas
import warnings
compatibility_mode = False
has_tr... | bsd-3-clause |
JuliaSprenger/python-neo | neo/test/iotest/test_klustakwikio.py | 3 | 14964 | """
Tests of neo.io.klustakwikio
"""
import glob
import os.path
import sys
import tempfile
import unittest
import numpy as np
import quantities as pq
import neo
from neo.test.iotest.common_io_test import BaseTestIO
from neo.test.tools import assert_arrays_almost_equal
from neo.io.klustakwikio import KlustaKwikIO, H... | bsd-3-clause |
samzhang111/scikit-learn | sklearn/preprocessing/__init__.py | 268 | 1319 | """
The :mod:`sklearn.preprocessing` module includes scaling, centering,
normalization, binarization and imputation methods.
"""
from ._function_transformer import FunctionTransformer
from .data import Binarizer
from .data import KernelCenterer
from .data import MinMaxScaler
from .data import MaxAbsScaler
from .data ... | bsd-3-clause |
chillpop/RELAX-HARDER | effects/drifters.py | 1 | 5902 | import colorsys
import matplotlib.colors
import numpy
import random
import scipy.interpolate
import time
from base import EffectLayer, HeadsetResponsiveEffectLayer
class ColorDrifterLayer(EffectLayer):
"""
Interpolates between colors in a color list. Adds those values
to the values already in the frame.... | mit |
Windy-Ground/scikit-learn | 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... | bsd-3-clause |
mbrucher/AudioTK | tests/Python/Tools/PyATKTools_Oversampling_test.py | 1 | 6593 | #!/usr/bin/env python
from nose.tools import raises
def Oversampling_2_test():
import numpy as np
from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter
from ATK.Tools import DoubleOversampling6points5order_2Filter
from numpy.testing import assert_almost_equal
ref = np.sin(np.arange(2000, ... | bsd-3-clause |
cbweaver/stockscan | scans/sto_best_mean_diff.py | 1 | 2364 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import logbook, configparser, os
#import matplotlib.pyplot as plt
import sqlite3 as sql
import numpy as np
config = configparser.ConfigParser()
config.read(os.getcwd()+"/config.ini")
log_handler = logbook.FileHandler(config['DEBUG']['log_fpath'])
with log_handler.applicatio... | gpl-2.0 |
arteria-project/arteria-bcl2fastq | bcl2fastq/lib/illumina.py | 3 | 4258 |
from pandas import read_csv
class SampleRow:
"""
Provides a representation of the information presented in a Illumina Samplesheet.
Different samplesheet types (e.g. HiSeq, MiSeq, etc) will provide slightly different
information for each sample. This class aims at providing a interface to this that wil... | mit |
yaroslavvb/tensorflow | tensorflow/examples/learn/text_classification_cnn.py | 53 | 4430 | # 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 |
massgame/Mohr_Envelope | mohr.py | 1 | 3479 | from scipy import stats
import matplotlib.pyplot as plt
import numpy as np
import csv,sys
class Read():
def __init__(self, promptFileName):
self.fileName = promptFileName
def readCsv(self):
stress_Minor = [] #Minor stress
stress_Major = [] #Major stress
with open(self.fileName, newline='') as f:
reader ... | gpl-3.0 |
iamjakob/lumiCalc | LumiDB/python/mpl_axes_hist_fix.py | 1 | 15419 | # This is the fix for a well-known bug in Matplotlib's
# axes.Axes.hist() method for stepfilled histograms with a logarithmic
# axis. The actual fix (see below) is quite small.
# This is used by the create_public_lumi_plots.py script.
import numpy as np
import itertools
import matplotlib.cbook as cbook
iterable = cbo... | apache-2.0 |
nelson-liu/scikit-learn | examples/svm/plot_svm_regression.py | 120 | 1520 | """
===================================================================
Support Vector Regression (SVR) using linear and non-linear kernels
===================================================================
Toy example of 1D regression using linear, polynomial and RBF kernels.
"""
print(__doc__)
import numpy as np
... | bsd-3-clause |
AIML/scikit-learn | sklearn/datasets/tests/test_lfw.py | 230 | 7880 | """This test for the LFW require medium-size data dowloading and processing
If the data has not been already downloaded by running the examples,
the tests won't run (skipped).
If the test are run, the first execution will be long (typically a bit
more than a couple of minutes) but as the dataset loader is leveraging
... | bsd-3-clause |
ahhda/sympy | examples/intermediate/sample.py | 107 | 3494 | """
Utility functions for plotting sympy functions.
See examples\mplot2d.py and examples\mplot3d.py for usable 2d and 3d
graphing functions using matplotlib.
"""
from sympy.core.sympify import sympify, SympifyError
from sympy.external import import_module
np = import_module('numpy')
def sample2d(f, x_args):
"""
... | bsd-3-clause |
CVML/scikit-learn | sklearn/utils/arpack.py | 265 | 64837 | """
This contains a copy of the future version of
scipy.sparse.linalg.eigen.arpack.eigsh
It's an upgraded wrapper of the ARPACK library which
allows the use of shift-invert mode for symmetric matrices.
Find a few eigenvectors and eigenvalues of a matrix.
Uses ARPACK: http://www.caam.rice.edu/software/ARPACK/
"""
#... | bsd-3-clause |
drammock/mnefun | mnefun/externals/tabulate.py | 11 | 38661 | # -*- coding: utf-8 -*-
"""Pretty-print tabular data."""
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from platform import python_version_tuple
import re
if python_version_tuple()[0] < "3":
from itertools import izip_longest
from functools ... | bsd-3-clause |
SnippyHolloW/speech_embeddings | emb_from_ab_dist.py | 2 | 6973 | """Learn embeddings that mimic ABX distances.
speech features -> weights matrix + non-linearity -> E(X)
x W (+ b) T.nnet.simoid
Loss L for one X:
L = 0
for all X' in examples:
L += dist_{emb}(X, X') - dist_{ABX}(X, X')
"""
import theano, time, pandas, sys, os, h5fea... | mit |
sshleifer/object_detection_kitti | cognitive_mapping_and_planning/scripts/script_plot_trajectory.py | 9 | 12900 | # 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 applicab... | apache-2.0 |
rafaelmds/fatiando | gallery/gravmag/euler_moving_window.py | 7 | 3054 | """
.. _gallery_euler_mw:
Euler deconvolution with a moving window
----------------------------------------
Euler deconvolution attempts to estimate the coordinates of simple (idealized)
sources from the input potential field data. There is a strong assumption that
the sources have simple geometries, like spheres, ve... | bsd-3-clause |
fengzhyuan/scikit-learn | sklearn/tests/test_common.py | 127 | 7665 | """
General tests for all estimators in sklearn.
"""
# Authors: Andreas Mueller <amueller@ais.uni-bonn.de>
# Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD 3 clause
from __future__ import print_function
import os
import warnings
import sys
import pkgutil
from sklearn.externals.six import PY3
fr... | bsd-3-clause |
vivekmishra1991/scikit-learn | sklearn/linear_model/setup.py | 146 | 1713 | 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... | bsd-3-clause |
Refefer/pylearn2 | pylearn2/scripts/plot_monitor.py | 3 | 9143 | #!/usr/bin/env python
"""
usage:
plot_monitor.py model_1.pkl model_2.pkl ... model_n.pkl
Loads any number of .pkl files produced by train.py. Extracts
all of their monitoring channels and prompts the user to select
a subset of them to be plotted.
"""
from __future__ import print_function
__authors__ = "Ian Goodfell... | bsd-3-clause |
rsivapr/scikit-learn | examples/neighbors/plot_regression.py | 8 | 1381 | """
============================
Nearest Neighbors regression
============================
Demonstrate the resolution of a regression problem
using a k-Nearest Neighbor and the interpolation of the
target using both barycenter and constant weights.
"""
print(__doc__)
# Author: Alexandre Gramfort <alexandre.gramfort@... | bsd-3-clause |
lheagy/casingSimulations | casingSimulations/sources.py | 2 | 32188 | import numpy as np
import matplotlib.pyplot as plt
import os
import properties
import discretize
from discretize.utils import closestPoints
from SimPEG.utils import setKwargs
from SimPEG.electromagnetics import frequency_domain as fdem
from SimPEG.electromagnetics import time_domain as tdem
from .base import Loadabl... | mit |
zhouyejoe/spark | python/pyspark/sql/dataframe.py | 3 | 90689 | #
# 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 |
xuewei4d/scikit-learn | examples/decomposition/plot_image_denoising.py | 24 | 5878 | """
=========================================
Image denoising using dictionary learning
=========================================
An example comparing the effect of reconstructing noisy fragments
of a raccoon face image using firstly online :ref:`DictionaryLearning` and
various transform methods.
The dictionary is fi... | bsd-3-clause |
datapolitan/lede_algorithms | class4_1/doc_classifier.py | 1 | 1664 | from sklearn import preprocessing
########## FEATURES ##########
# Put your features here
########## MAIN ##########
if __name__ == '__main__':
# First we'll do some preprocessing to create our two vectors for model training: features, which
# represents the feature vector, and labels, which represent our... | gpl-2.0 |
ftuyama/TEEG | ai/model.py | 2 | 10213 | import numpy as n
from sklearn import svm, preprocessing
from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn.neighbors import KNeighborsClassifier
import matplotlib.pyplot as graph
import random
import skflow
import sys
kind = ["raw", "spec"][1]
default = ["svm", "k", "dnn"][0]
#actions = ["idle"... | mit |
datamindedbe/train-occupancy | delay/model.py | 1 | 2275 | import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.externals import joblib
from sklearn.feature_selection import SelectKBest
from sklearn.metrics import confusion_matrix
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import Imputer
from sqlalchemy i... | apache-2.0 |
yyjiang/scikit-learn | sklearn/mixture/tests/test_gmm.py | 200 | 17427 | import unittest
import copy
import sys
from nose.tools import assert_true
import numpy as np
from numpy.testing import (assert_array_equal, assert_array_almost_equal,
assert_raises)
from scipy import stats
from sklearn import mixture
from sklearn.datasets.samples_generator import make_spd_ma... | bsd-3-clause |
aaltay/beam | sdks/python/apache_beam/examples/complete/juliaset/juliaset/juliaset.py | 3 | 4489 | #
# 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 |
RRShieldsCutler/clusterpluck | clusterpluck/wrappers/shofun.py | 1 | 3156 | #!/usr/bin/env Python
import argparse
import sys
import os
import pandas as pd
from clusterpluck.wrappers.run_shogun import run_shogun
from clusterpluck.scripts.otu_x_ofu import match_tables
from clusterpluck.scripts.otu_x_ofu import multiply_tables
from multiprocessing import cpu_count
# The arg parser
def make_arg... | mit |
astro4dev/OAD-Data-Science-Toolkit | Teaching Materials/Machine Learning/Supervised Learning/Courses/sklearn_tutorial/notebooks/fig_code/ML_flow_chart.py | 61 | 4970 | """
Tutorial Diagrams
-----------------
This script plots the flow-charts used in the scikit-learn tutorials.
"""
import numpy as np
import pylab as pl
from matplotlib.patches import Circle, Rectangle, Polygon, Arrow, FancyArrow
def create_base(box_bg = '#CCCCCC',
arrow1 = '#88CCFF',
... | gpl-3.0 |
mne-tools/mne-tools.github.io | dev/_downloads/f58ab3a8ed9d8dd4a9f0d114ff670e86/mne_inverse_label_connectivity.py | 6 | 7480 | """
=========================================================================
Compute source space connectivity and visualize it using a circular graph
=========================================================================
This example computes the all-to-all connectivity between 68 regions in
source space based on... | bsd-3-clause |
hainm/scikit-learn | examples/linear_model/plot_logistic_l1_l2_sparsity.py | 384 | 2601 | """
==============================================
L1 Penalty and Sparsity in Logistic Regression
==============================================
Comparison of the sparsity (percentage of zero coefficients) of solutions when
L1 and L2 penalty are used for different values of C. We can see that large
values of C give mo... | bsd-3-clause |
rolando/ClickSecurity-data_hacking | dga_detection/dga_model_gen.py | 6 | 13951 |
''' Build models to detect Algorithmically Generated Domain Names (DGA).
We're trying to classify domains as being 'legit' or having a high probability
of being generated by a DGA (Dynamic Generation Algorithm). We have 'legit' in
quotes as we're using the domains in Alexa as the 'legit' set.
'''
import o... | mit |
adykstra/mne-python | examples/preprocessing/plot_find_ecg_artifacts.py | 10 | 1296 | """
==================
Find ECG artifacts
==================
Locate QRS component of ECG.
"""
# Authors: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne import io
from mne.datasets import sample
print(_... | bsd-3-clause |
arnavd96/Cinemiezer | myvenv/lib/python3.4/site-packages/music21/alpha/contour.py | 1 | 94038 | # -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Name: contour.py
# Purpose: Represent a piece by its contour
#
# Authors: Daniel Manesh
#
# Copyright: Copyright © 2009-2012 Michael Scott Cuthbert and the music21 Project
# License: ... | mit |
MechCoder/scikit-learn | sklearn/gaussian_process/gpr.py | 5 | 20061 | """Gaussian processes regression. """
# Authors: Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import warnings
from operator import itemgetter
import numpy as np
from scipy.linalg import cholesky, cho_solve, solve_triangular
from scipy.optimize import fmin_l_bfgs_b
from sklearn.base im... | bsd-3-clause |
leliel12/scikit-criteria | doc/source/conf.py | 1 | 6770 | # -*- coding: utf-8 -*-
#
# Scikit-Criteria documentation build configuration file, created by
# sphinx-quickstart on Thu Aug 3 02:18:36 2017.
#
# 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 fil... | bsd-3-clause |
shibanis1/spark-tk | python/sparktk/frame/ops/download.py | 1 | 4063 |
def download(self, n=100, offset = 0, columns=None):
"""
Download frame data from the server into client workspace as a pandas dataframe.
Similar to the 'take' function, but puts the data into a pandas dataframe.
Parameters
----------
:param n: (Optional(int)) The number of rows to download ... | apache-2.0 |
adamgreenhall/scikit-learn | sklearn/utils/arpack.py | 265 | 64837 | """
This contains a copy of the future version of
scipy.sparse.linalg.eigen.arpack.eigsh
It's an upgraded wrapper of the ARPACK library which
allows the use of shift-invert mode for symmetric matrices.
Find a few eigenvectors and eigenvalues of a matrix.
Uses ARPACK: http://www.caam.rice.edu/software/ARPACK/
"""
#... | bsd-3-clause |
ndingwall/scikit-learn | examples/bicluster/plot_bicluster_newsgroups.py | 23 | 5764 | """
================================================================
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 |
alexandrebarachant/decoding-brain-challenge-2016 | cross_validation_paper.py | 1 | 4718 | import numpy as np
import pandas as pd
import mne
from scipy.io import loadmat
from glob import glob
from collections import OrderedDict
from copy import deepcopy
from pyriemann.estimation import (XdawnCovariances, HankelCovariances,
CospCovariances, ERPCovariances)
from pyriemann.sp... | bsd-3-clause |
jswanljung/iris | docs/iris/example_code/Meteorology/hovmoller.py | 6 | 1622 | """
Hovmoller diagram of monthly surface temperature
================================================
This example demonstrates the creation of a Hovmoller diagram with fine control
over plot ticks and labels. The data comes from the Met Office OSTIA project
and has been pre-processed to calculate the monthly mean sea... | lgpl-3.0 |
JT5D/scikit-learn | sklearn/tests/test_common.py | 2 | 43337 | """
General tests for all estimators in sklearn.
"""
# Authors: Andreas Mueller <amueller@ais.uni-bonn.de>
# Gael Varoquaux gael.varoquaux@normalesup.org
# License: BSD 3 clause
from __future__ import print_function
import os
import warnings
import sys
import traceback
import inspect
import pickle
import pkg... | bsd-3-clause |
bchappet/dnfpy | src/test_dnfpy/cellular/rsdnfMapTestRandomBias.py | 1 | 1050 | import matplotlib.pyplot as plt
from dnfpy.core.constantMap import ConstantMap
import unittest
import numpy as np
from rsdnfMap import RsdnfMap
import dnfpy.view.staticViewMatplotlib as view
class RsdnfMapTestRandomBias(unittest.TestCase):
def setUp(self):
self.size = 49
self.ac... | gpl-2.0 |
ominux/cuda-convnet2 | shownet.py | 180 | 18206 | # Copyright 2014 Google Inc. 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 applicable law or... | apache-2.0 |
funbaker/astropy | astropy/visualization/wcsaxes/patches.py | 2 | 3394 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
from matplotlib.patches import Polygon
from ... import units as u
from ...coordinates.representation import UnitSphericalRepresentation
from ...coordinates.matrix_utilities import rotation_matrix, matrix_product
__all__ = ['Spherica... | bsd-3-clause |
unoebauer/tardis | tardis/conftest.py | 5 | 4159 | 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 |
fengzhyuan/scikit-learn | examples/svm/plot_svm_anova.py | 250 | 2000 | """
=================================================
SVM-Anova: SVM with univariate feature selection
=================================================
This example shows how to perform univariate feature before running a SVC
(support vector classifier) to improve the classification scores.
"""
print(__doc__)
import... | bsd-3-clause |
sonnyhu/scikit-learn | doc/sphinxext/sphinx_gallery/notebook.py | 9 | 3565 | # -*- coding: utf-8 -*-
r"""
============================
Parser for Jupyter notebooks
============================
Class that holds the Ipython notebook information
"""
# Author: Óscar Nájera
# License: 3-clause BSD
from __future__ import division, absolute_import, print_function
import json
import os
import re
imp... | bsd-3-clause |
chengchingwen/moth_prediction | get_ft.py | 1 | 1143 | import sqlite3 as sql
import pandas as pd
import datetime as d
import make_db as m
date = "%d-%d-%d"
datef = "%Y-%m-%d"
year_end = "%Y-12-31"
year_start = "%Y-01-01"
query = "select * from `%d` where Time between '%s' and '%s'"
def nd(s):
return d.datetime.strptime(s, "%Y-%m-%d").month
def get_ft_t(year, month, d... | artistic-2.0 |
shl198/Pipeline | Modules/PacBioEDA/PacBio_HQ.py | 3 | 4611 | #!/usr/bin/env python
# Copyright (C) 2011 Genome Research Limited -- See full notice at end
# of module.
# Create a time plot showing the number of ZMWs not yet in
# High-Quality region, in HQ, and post-HQ.
# The outer loop here will loop over ZMWs. For each ZMW, we'll first
# retrieve its HQ region start and stop ... | mit |
hammerlab/immuno_research | Jan28.py | 1 | 2289 | import numpy as np
import sklearn
import sklearn.cross_validation
import sklearn.ensemble
import sklearn.linear_model
from epitopes import iedb, amino_acid, features, reduced_alphabet
"""
Maybe we're overfitting when using larger n-grams of the 20-letter AA alphabet,
can we generalize better using other simpler alpha... | gpl-2.0 |
mumuwoyou/vnpy | vn.trader/ctaAlgo/tools/multiTimeFrame/ctaStrategyMultiTF.py | 18 | 15032 | # encoding: UTF-8
"""
This file tweaks ctaTemplate Module to suit multi-TimeFrame strategies.
"""
from strategyAtrRsi import *
from ctaBase import *
from ctaTemplate import CtaTemplate
########################################################################
class TC11(CtaTemplate):
# Strategy name and author
... | mit |
tgsmith61591/skutil | skutil/decomposition/decompose.py | 1 | 15956 | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
from abc import ABCMeta, abstractmethod
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.utils.validation import check... | bsd-3-clause |
nborggren/zipline | zipline/finance/risk/cumulative.py | 2 | 17428 | #
# 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 |
CVML/scikit-learn | sklearn/cluster/bicluster.py | 211 | 19443 | """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 |
chrisfroe/readdy | wrappers/python/src/python/readdy/examples/topology_fusions.py | 1 | 3268 | import numpy as np
import matplotlib.pyplot as plt
import contextlib as cl
import time
import os
import random
import readdy._internal as api
import readdy._internal.readdybinding.api.top as top
from readdy.util import topology_utils
from readdy.util import io_utils
api.set_logging_level("info", python_console_out=Fa... | lgpl-3.0 |
mohanprasath/Course-Work | data_analysis/uh_data_analysis_with_python/hy-data-analysis-with-python-spring-2020/part08-e01_regression/test/test_regression.py | 1 | 17970 | #!/usr/bin/env python3
import os
import re
import pandas as pd
import numpy as np
import statsmodels
import matplotlib.pyplot as plt
import matplotlib
import unittest
from unittest.mock import patch, MagicMock
from tmc import points
from tmc.utils import load, get_out, patch_helper, spy_decorator
module_name="src.r... | gpl-3.0 |
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