repo_name stringlengths 7 92 | path stringlengths 5 149 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 911 693k | license stringclasses 15
values |
|---|---|---|---|---|---|
loganlinn/mlia | resources/Ch10/kMeans.py | 3 | 6419 | '''
Created on Feb 16, 2011
k Means Clustering for Ch10 of Machine Learning in Action
@author: Peter Harrington
'''
from numpy import *
def loadDataSet(fileName): #general function to parse tab -delimited floats
dataMat = [] #assume last column is target value
fr = open(fileName)
... | epl-1.0 |
frrp/trading-with-python | cookbook/getDataFromYahooFinance.py | 77 | 1391 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 16 18:37:23 2011
@author: jev
"""
from urllib import urlretrieve
from urllib2 import urlopen
from pandas import Index, DataFrame
from datetime import datetime
import matplotlib.pyplot as plt
sDate = (2005,1,1)
eDate = (2011,10,1)
symbol = 'SPY'
fNa... | bsd-3-clause |
verificarlo/verificarlo | src/tools/ci/vfc_ci_report/inspect_runs.py | 1 | 24408 | #############################################################################
# #
# This file is part of Verificarlo. #
# #
# Copyr... | gpl-3.0 |
Barmaley-exe/scikit-learn | sklearn/datasets/tests/test_base.py | 39 | 5607 | import os
import shutil
import tempfile
import warnings
import nose
import numpy
from sklearn.datasets import get_data_home
from sklearn.datasets import clear_data_home
from sklearn.datasets import load_files
from sklearn.datasets import load_sample_images
from sklearn.datasets import load_sample_image
from sklearn.da... | bsd-3-clause |
elkingtonmcb/scikit-learn | sklearn/neural_network/tests/test_rbm.py | 225 | 6278 | import sys
import re
import numpy as np
from scipy.sparse import csc_matrix, csr_matrix, lil_matrix
from sklearn.utils.testing import (assert_almost_equal, assert_array_equal,
assert_true)
from sklearn.datasets import load_digits
from sklearn.externals.six.moves import cStringIO as ... | bsd-3-clause |
elijah513/scikit-learn | examples/model_selection/plot_validation_curve.py | 229 | 1823 | """
==========================
Plotting Validation Curves
==========================
In this plot you can see the training scores and validation scores of an SVM
for different values of the kernel parameter gamma. For very low values of
gamma, you can see that both the training score and the validation score are
low. ... | bsd-3-clause |
WhatWorksWhenForWhom/nlppln | nlppln/commands/save_ner_data.py | 1 | 1125 | #!/usr/bin/env python
import click
import os
import codecs
import json
import pandas as pd
from nlppln.utils import create_dirs, get_files
@click.command()
@click.argument('in_dir', type=click.Path(exists=True))
@click.option('--out_dir', '-o', default=os.getcwd(), type=click.Path())
@click.option('--name', '-n', de... | apache-2.0 |
tudarmstadt-lt/context-eval | twsi_upper_bound.py | 2 | 1796 | import twsi_eval
import argparse
from pandas import read_csv
from twsi_eval import TWSI_INVENTORY, map_sense_inventories, calculate_evaluation_scores
TWSI_DATASET = 'data/Dataset-TWSI-2.csv'
def evaluate_uppper_bound(twsi_dataset_fath, user2twsi):
print 'Estimating upper bound performance: ', twsi_dataset_fath
... | apache-2.0 |
jenfly/atmos-read | scripts/merra-replace-data.py | 1 | 5275 | """
Replace corrupted data files with daily data re-downloaded with wget
"""
import sys
sys.path.append('/home/jwalker/dynamics/python/atmos-tools')
sys.path.append('/home/jwalker/dynamics/python/atmos-read')
import os
import shutil
import xarray as xray
import numpy as np
import collections
import time
import matplo... | mit |
ezietsman/msc-thesis | images/makeunflat2.py | 1 | 1059 | from pylab import *
import astronomy as ast
# to format the labels better
from matplotlib.ticker import FormatStrFormatter
fmt = FormatStrFormatter('%1.2g') # or whatever
X1 = load('ec2117ans_1_c.dat')
x1 = X1[:,0]
y1 = 10**(X1[:,2]/(-2.5))
y1 /= average(y1)
T0 = 2453964.3307097
P = 0.1545255
figure(figsize=(6,4)... | mit |
Parallel-in-Time/pySDC | pySDC/playgrounds/Allen_Cahn/AllenCahn_contracting_circle_standard_integrators.py | 1 | 5930 | import time
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
from pySDC.implementations.datatype_classes.mesh import mesh, imex_mesh
from pySDC.implementations.problem_classes.AllenCahn_2D_FD import allencahn_fullyimplicit, allencahn_semiimplicit
# http://www.personal.psu.edu/qu... | bsd-2-clause |
fspaolo/scikit-learn | sklearn/cluster/tests/test_hierarchical.py | 5 | 7058 | """
Several basic tests for hierarchical clustering procedures
"""
# Authors: Vincent Michel, 2010, Gael Varoquaux 2012
# License: BSD 3 clause
import warnings
from tempfile import mkdtemp
import numpy as np
from scipy import sparse
from scipy.cluster import hierarchy
from sklearn.utils.testing import assert_true
fr... | bsd-3-clause |
fluxcapacitor/source.ml | jupyterhub.ml/notebooks/train_deploy/zz_under_construction/zz_old/TensorFlow/Word2Vec/word2vec_basic.py | 8 | 8995 | # 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 |
INM-6/elephant | elephant/sta.py | 2 | 13537 | # -*- coding: utf-8 -*-
"""
Functions to calculate spike-triggered average and spike-field coherence of
analog signals.
.. autosummary::
:toctree: _toctree/sta
spike_triggered_average
spike_field_coherence
:copyright: Copyright 2014-2020 by the Elephant team, see `doc/authors.rst`.
:license: Modified BSD... | bsd-3-clause |
aflaxman/scikit-learn | benchmarks/bench_sgd_regression.py | 50 | 5569 | # Author: Peter Prettenhofer <peter.prettenhofer@gmail.com>
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot as plt
import gc
from time import time
from sklearn.linear_model import Ridge, SGDRegressor, ElasticNet
from sklearn.metrics import mean_squared_error
from sklearn.datasets.samples_generat... | bsd-3-clause |
ThomasSweijen/TPF | examples/adaptiveintegrator/simple-scene-plot-NewtonIntegrator.py | 6 | 2027 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('TkAgg')
O.engines=[
ForceResetter(),
InsertionSortCollider([Bo1_Sphere_Aabb(),Bo1_Box_Aabb()]),
InteractionLoop(
[Ig2_Sphere_Sphere_ScGeom(),Ig2_Box_Sphere_ScGeom()],
[Ip2_FrictMat_FrictMat_FrictPhys()],
[Law2_ScGeom_FrictPhys_Cundall... | gpl-2.0 |
caltech-chimera/pychimera | scripts/multiphot.py | 1 | 9783 | #!/usr/bin/env python
"""
--------------------------------------------------------------------------
Routine to perform aperture photometry on CHIMERA science frames.
Usage: python fastphot.py [options] image coords
Authors:
Navtej Saini, Lee Rosenthal
Organization:
Caltech, Pas... | mit |
btabibian/scikit-learn | examples/cluster/plot_cluster_comparison.py | 46 | 6620 | """
=========================================================
Comparing different clustering algorithms on toy datasets
=========================================================
This example shows characteristics of different
clustering algorithms on datasets that are "interesting"
but still in 2D. With the exception ... | bsd-3-clause |
asteca/ASteCA | packages/best_fit/DEPRECATED/abcpmc_algor_DEPRECATED.py | 1 | 9822 |
import numpy as np
from scipy.optimize import differential_evolution as DE
import time as t
from .abcpmc import sampler, threshold
from ..synth_clust import synth_cluster
from . import likelihood
from .emcee_algor import varPars, closeSol, discreteParams, convergenceVals
def main(
lkl_method, e_max, err_lst, com... | gpl-3.0 |
sadimanna/computer_vision | clustering/kmeansppclustering_with_gap_statistic.py | 1 | 2599 | #K-Means++ Clustering with Gap Statistic to determine the optimal number of clusters
import sys
import numpy as np
import scipy.io as sio
#import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.svm import SVC
filename = sys.argv[1]
datafile = sio.loadmat(filename)
data = datafile['bow']
sizeda... | gpl-3.0 |
toobaz/pandas | pandas/tests/indexes/datetimes/test_timezones.py | 2 | 47130 | """
Tests for DatetimeIndex timezone-related methods
"""
from datetime import date, datetime, time, timedelta, tzinfo
import dateutil
from dateutil.tz import gettz, tzlocal
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs import conversion, timezones
import pandas.util._test_decorators as td
imp... | bsd-3-clause |
elkingtonmcb/h2o-2 | py/testdir_multi_jvm/test_GLM2grid_hastie.py | 9 | 2649 | import unittest, time, sys, copy
sys.path.extend(['.','..','../..','py'])
import h2o, h2o_cmd, h2o_glm, h2o_util, h2o_import as h2i
## Dataset created from this:
#
# from sklearn.datasets import make_hastie_10_2
# import numpy as np
# i = 1000000
# f = 10
# (X,y) = make_hastie_10_2(n_samples=i,random_state=None)
# y.sh... | apache-2.0 |
eusoubrasileiro/fatiando | fatiando/vis/mpl.py | 2 | 35331 | """
Wrappers for :mod:`matplotlib` functions to facilitate plotting grids,
2D objects, etc.
This module loads all functions from :mod:`matplotlib.pyplot`, adds new
functions and overwrites some others (like :func:`~fatiando.vis.mpl.contour`,
:func:`~fatiando.vis.mpl.pcolor`, etc).
**Grids**
* :func:`~fatiando.vis.mp... | bsd-3-clause |
mattsep/TDSE | src/animate.py | 1 | 1444 | import scipy as sp
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# animation of the probability density of the wavefunction over the course
# of time
def probabilityDensity(x, t, V, psi):
# convert to the probability density
Nt = len(t)
rho = sp.real(sp.conjugate(psi)*psi)
... | gpl-3.0 |
jgoppert/pymola | test/xml_test.py | 1 | 4050 | #!/usr/bin/env python
"""
Test XML backend
"""
import os
import sys
import time
import unittest
import pymoca.parser as mo_parser
from pymoca.backends.xml import analysis, generator, sim_scipy
from pymoca.backends.xml import parser as xml_parser
# get matplotlib from analysis, since logic for plotting
# without displa... | bsd-3-clause |
trankmichael/scipy | scipy/signal/waveforms.py | 64 | 14818 | # Author: Travis Oliphant
# 2003
#
# Feb. 2010: Updated by Warren Weckesser:
# Rewrote much of chirp()
# Added sweep_poly()
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, po... | bsd-3-clause |
trachelr/mne-python | examples/preprocessing/plot_find_ecg_artifacts.py | 19 | 1304 | """
==================
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 |
rajegannathan/grasp-lift-eeg-cat-dog-solution-updated | python-packages/mne-python-0.10/mne/fixes.py | 1 | 29568 | """Compatibility fixes for older version of python, numpy and scipy
If you add content to this file, please give the version of the package
at which the fixe is no longer needed.
# XXX : copied from scikit-learn
"""
# Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael... | bsd-3-clause |
rexshihaoren/scikit-learn | examples/linear_model/plot_ransac.py | 250 | 1673 | """
===========================================
Robust linear model estimation using RANSAC
===========================================
In this example we see how to robustly fit a linear model to faulty data using
the RANSAC algorithm.
"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn import ... | bsd-3-clause |
wongkaiweng/LTLMoP | src/lib/handlers/share/MotionControl/BugControllerHandler.py | 8 | 39771 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
===================================================================
BugController.py - Bug Algorithm Motion Controller
===================================================================
This motion controller uses the Bug 2 algorithm developed by V. Lumelsky and A. St... | gpl-3.0 |
awni/tensorflow | tensorflow/contrib/skflow/python/skflow/tests/test_multioutput.py | 1 | 1502 | # Copyright 2015-present The Scikit Flow 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 require... | apache-2.0 |
mgruben/morse-code | python/MorseCodeDecoder.py | 1 | 16481 | import re
import matplotlib.pyplot as plt
import seaborn as sns
MORSE_CODE = {
".-": "A",
"-...": "B",
"-.-.": "C",
"-..": "D",
".": "E",
"..-.": "F",
"--.": "G",
"....": "H",
"..": "I",
".---": "J",
"-.-": "K",
".-..": "L",
"--": "M",
"-.": "N",
"---": "O",... | gpl-3.0 |
toobaz/pandas | pandas/tests/indexes/timedeltas/test_setops.py | 2 | 6937 | import numpy as np
import pytest
import pandas as pd
from pandas import Int64Index, TimedeltaIndex, timedelta_range
import pandas.util.testing as tm
from pandas.tseries.offsets import Hour
class TestTimedeltaIndex:
def test_union(self):
i1 = timedelta_range("1day", periods=5)
i2 = timedelta_ran... | bsd-3-clause |
nvoron23/scikit-learn | sklearn/linear_model/tests/test_theil_sen.py | 234 | 9928 | """
Testing for Theil-Sen module (sklearn.linear_model.theil_sen)
"""
# Author: Florian Wilhelm <florian.wilhelm@gmail.com>
# License: BSD 3 clause
from __future__ import division, print_function, absolute_import
import os
import sys
from contextlib import contextmanager
import numpy as np
from numpy.testing import ... | bsd-3-clause |
sanja7s/SR_Twitter | src_general/explain_FORMATION_DELETION_REL.py | 1 | 6415 | #!/usr/bin/env python
# a bar plot with errorbars
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse, Polygon
from pylab import *
width = 0.28 # the width of the bars
font = {'family' : 'sans-serif',
'variant' : 'normal',
'weight' : 'light',
... | mit |
MalkIPP/ipp_work | ipp_work/example/tax_rate_by_decile.py | 1 | 1569 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 1 17:07:33 2015
@author: malkaguillot
"""
from ipp_work.utils import survey_simulate, df_weighted_average_grouped
from ipp_work.simulations.ir_marg_rate import varying_survey_simulation
from ipp_work.example.quantiles_of_revimp import make_weighted_deciles_of_variable
i... | agpl-3.0 |
MarkRegalla27/ThinkStats2 | code/hypothesis.py | 75 | 10162 | """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
"""
from __future__ import print_function, division
import nsfg
import nsfg2
import first
import thinkstats2
import thinkplot
... | gpl-3.0 |
bikash/kaggleCompetition | microsoft malware/code/_untuned_modeling.py | 1 | 5556 | ######################################################
# _untuned_modeling.py
# author: Gert Jacobusse, gert.jacobusse@rogatio.nl
# licence: FreeBSD
"""
Copyright (c) 2015, Gert Jacobusse
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that... | apache-2.0 |
RPGOne/Skynet | scikit-learn-c604ac39ad0e5b066d964df3e8f31ba7ebda1e0e/examples/svm/plot_separating_hyperplane.py | 62 | 1274 | """
=========================================
SVM: Maximum margin separating hyperplane
=========================================
Plot the maximum margin separating hyperplane within a two-class
separable dataset using a Support Vector Machines classifier with
linear kernel.
"""
print(__doc__)
import numpy as np
impo... | bsd-3-clause |
MadsJensen/malthe_alpha_project | source_connectivity_permutation.py | 1 | 6505 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 9 08:41:17 2015.
@author: mje
"""
import numpy as np
import numpy.random as npr
import os
import socket
import mne
# import pandas as pd
from mne.connectivity import spectral_connectivity
from mne.minimum_norm import (apply_inverse_epochs, read_inverse_operator)
# Pe... | mit |
gtesei/fast-furious | competitions/santander-customer-transaction-prediction/base_light_gbm1.py | 1 | 2556 | import lightgbm as lgb
import pandas as pd
import numpy as np
import sys
from datetime import datetime
from pathlib import Path
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import RepeatedStratifiedKFold
path=Path("data/")
train=pd.read_csv(path/"train.csv").drop("ID_code",axis=1)
... | mit |
DucQuang1/py-earth | doc/generate_figures.py | 1 | 1933 | import matplotlib as mpl
mpl.use('Agg')
import numpy
from pyearth import Earth
from matplotlib import pyplot
#=========================================================================
# V-Function Example
#=========================================================================
# Create some fake data
numpy.random.se... | bsd-3-clause |
mihail911/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/axes.py | 69 | 259904 | from __future__ import division, generators
import math, sys, warnings, datetime, new
import numpy as np
from numpy import ma
import matplotlib
rcParams = matplotlib.rcParams
import matplotlib.artist as martist
import matplotlib.axis as maxis
import matplotlib.cbook as cbook
import matplotlib.collections as mcoll
im... | gpl-3.0 |
TuKo/brainiak | examples/fcma/classification.py | 1 | 9141 | # Copyright 2016 Intel Corporation
#
# 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... | apache-2.0 |
gmsanchez/nmpc_comparison | cstr_startup_colloc.py | 1 | 9778 | # Linear and nonlinear control of startup of a CSTR.
import mpctools as mpc
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
import time
# Define some parameters and then the CSTR model.
Nx = 3
Nu = 2
Nd = 1
# Ny = Nx
Delta = .25
# eps = 1e-6 # Use this as a small number.
T0 = 350
c0... | gpl-3.0 |
fzalkow/scikit-learn | examples/exercises/plot_cv_diabetes.py | 231 | 2527 | """
===============================================
Cross-validation on diabetes Dataset Exercise
===============================================
A tutorial exercise which uses cross-validation with linear models.
This exercise is used in the :ref:`cv_estimators_tut` part of the
:ref:`model_selection_tut` section of ... | bsd-3-clause |
jomivega/ASE4156 | tests/test_stocks.py | 1 | 3024 | """This module is for testing stocks"""
from unittest import mock
from django.test import TestCase
from stocks.models import Stock, DailyStockQuote
import pandas as pd
from yahoo_historical import Fetcher
from authentication.plaid_middleware import PlaidMiddleware
import pytest
class StocksViewTests(TestCase):
""... | apache-2.0 |
xyguo/scikit-learn | examples/decomposition/plot_image_denoising.py | 70 | 6249 | """
=========================================
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 |
KellyChan/Python | python/data_science/NYC/analysis3_predictions.py | 3 | 3515 | import numpy as np
import pandas
def normalize_features(array):
"""
Normalize the features in our data set.
"""
array_normalized = (array-array.mean())/array.std()
mu = array.mean()
sigma = array.std()
return array_normalized, mu, sigma
def compute_cost(features, values, theta):
"""
Comp... | mit |
hstau/manifold-cryo | fit_1D_open_manifold_3D.py | 1 | 5015 | import numpy as np
import get_fit_1D_open_manifold_3D_param
import solve_d_R_d_tau_p_3D
import a
from scipy.io import loadmat
import matplotlib.pyplot as plt
#import matplotlib.pyplot as plt
'''
function [a,b,tau] = fit_1D_open_manifold_3D(psi)
%
% fit_1D_open_manifold_3D
%
% fit the eigenvectors for ... | gpl-2.0 |
jmcarp/osf.io | scripts/analytics/addons.py | 21 | 2200 | # -*- coding: utf-8 -*-
import os
import re
import matplotlib.pyplot as plt
from framework.mongo import database
from website import settings
from website.app import init_app
from .utils import plot_dates, oid_to_datetime, mkdirp
log_collection = database['nodelog']
FIG_PATH = os.path.join(settings.ANALYTICS_PATH... | apache-2.0 |
mihaic/brainiak | examples/fcma/mvpa_voxel_selection.py | 2 | 3996 | # Copyright 2016 Intel Corporation
#
# 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... | apache-2.0 |
bibarz/bibarz.github.io | dabble/ab/auth_algorithms.py | 1 | 17145 | # Import any required libraries or modules.
import numpy as np
from sklearn import svm
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
import csv
import sys
class MetaParams:
n_lda_ensemble = 101
lda_ensemble_feature_fraction = 0.4
mode = 'lda_ensembl... | mit |
wanglei828/apollo | modules/tools/plot_planning/speed_dsteering_data.py | 1 | 3396 | #!/usr/bin/env python
###############################################################################
# Copyright 2019 The Apollo 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 ... | apache-2.0 |
PanDAWMS/panda-server | pandaserver/daemons/scripts/copyArchive.py | 1 | 71078 | import os
import re
import sys
import time
import fcntl
import shelve
import datetime
import traceback
import requests
from urllib3.exceptions import InsecureRequestWarning
import pandaserver.userinterface.Client as Client
from pandaserver.taskbuffer import EventServiceUtils
from pandacommon.pandalogger.PandaLogger i... | apache-2.0 |
alephu5/Soundbyte | environment/lib/python3.3/site-packages/pandas/tests/test_msgpack/test_except.py | 15 | 1043 | #!/usr/bin/env python
# coding: utf-8
import unittest
import nose
import datetime
from pandas.msgpack import packb, unpackb
class DummyException(Exception):
pass
class TestExceptions(unittest.TestCase):
def test_raise_on_find_unsupported_value(self):
import datetime
self.assertRaises(TypeEr... | gpl-3.0 |
rmcgibbo/scipy | scipy/stats/_discrete_distns.py | 15 | 20781 | #
# Author: Travis Oliphant 2002-2011 with contributions from
# SciPy Developers 2004-2011
#
from __future__ import division, print_function, absolute_import
from scipy import special
from scipy.special import entr, gammaln as gamln
from numpy import floor, ceil, log, exp, sqrt, log1p, expm1, tanh, cosh, s... | bsd-3-clause |
linebp/pandas | pandas/tests/reshape/test_reshape.py | 1 | 43476 | # -*- coding: utf-8 -*-
# pylint: disable-msg=W0612,E1101
import pytest
from pandas import DataFrame, Series
import pandas as pd
from numpy import nan
import numpy as np
from pandas.util.testing import assert_frame_equal
from pandas.core.reshape.reshape import (
melt, lreshape, get_dummies, wide_to_long)
impor... | bsd-3-clause |
xclxxl414/rqalpha | rqalpha/mod/rqalpha_mod_alphaStar_utils/mod.py | 1 | 2371 | #coding=utf-8
"""
@author: evilXu
@file: mod.py
@time: 2018/2/28 16:59
@description:
"""
from rqalpha.interface import AbstractMod
from rqalpha.utils.logger import system_log,user_system_log
import pandas as pd
from rqalpha.api import *
class UtilsMod(AbstractMod):
def __init__(self):
self._inject_api()... | apache-2.0 |
Arn-O/kadenze-deep-creative-apps | session-5/libs/inception.py | 13 | 4890 | """
Creative Applications of Deep Learning w/ Tensorflow.
Kadenze, Inc.
Copyright Parag K. Mital, June 2016.
"""
import os
import numpy as np
from tensorflow.python.platform import gfile
import tensorflow as tf
import matplotlib.pyplot as plt
from skimage.transform import resize as imresize
from .utils import download_... | apache-2.0 |
DailyActie/Surrogate-Model | 01-codes/deap-master/examples/coev/coop_evol.py | 1 | 6195 | # This file is part of DEAP.
#
# DEAP 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) any later version.
#
# DEAP is distributed ... | mit |
trustedanalytics/spark-tk | regression-tests/sparktkregtests/testcases/scoretests/svm_model_test.py | 10 | 3519 | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# 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 require... | apache-2.0 |
quheng/scikit-learn | sklearn/preprocessing/tests/test_data.py | 71 | 38516 | import warnings
import numpy as np
import numpy.linalg as la
from scipy import sparse
from distutils.version import LooseVersion
from sklearn.utils.testing import assert_almost_equal, clean_warning_registry
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_array_equal... | bsd-3-clause |
karstenw/nodebox-pyobjc | examples/Extended Application/sklearn/examples/calibration/plot_calibration_multiclass.py | 1 | 7780 | """
==================================================
Probability Calibration for 3-class classification
==================================================
This example illustrates how sigmoid calibration changes predicted
probabilities for a 3-class classification problem. Illustrated is the
standard 2-simplex, wher... | mit |
alfonsokim/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/quiver.py | 69 | 36790 | """
Support for plotting vector fields.
Presently this contains Quiver and Barb. Quiver plots an arrow in the
direction of the vector, with the size of the arrow related to the
magnitude of the vector.
Barbs are like quiver in that they point along a vector, but
the magnitude of the vector is given schematically by t... | agpl-3.0 |
AnthonyHullDiamond/scanning | org.eclipse.scanning.points/scripts/scanpointgenerator/plotgenerator.py | 2 | 4453 | ###
# Copyright (c) 2016, 2017 Diamond Light Source Ltd.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Eclipse Public License v1.0
# which accompanies this distribution, and is available at
# http://www.eclipse.org/legal/epl-v10.html
#
# Contributors:
#... | epl-1.0 |
anshumang/picongpu-evpath | examples/ThermalTest/tools/dispersion.py | 11 | 2689 | #!/usr/bin/env python
#
# Copyright 2013 Heiko Burau, Axel Huebl
#
# This file is part of PIConGPU.
#
# PIConGPU 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 your o... | gpl-3.0 |
massmutual/scikit-learn | sklearn/discriminant_analysis.py | 3 | 27324 | """
Linear Discriminant Analysis and Quadratic Discriminant Analysis
"""
# Authors: Clemens Brunner
# Martin Billinger
# Matthieu Perrot
# Mathieu Blondel
# License: BSD 3-Clause
from __future__ import print_function
import warnings
import numpy as np
from scipy import linalg
from .extern... | bsd-3-clause |
sumspr/scikit-learn | sklearn/tests/test_base.py | 216 | 7045 | # Author: Gael Varoquaux
# License: BSD 3 clause
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing impo... | bsd-3-clause |
ovgu-FINken/paparazzi_pre_merge | sw/airborne/test/math/compare_utm_enu.py | 77 | 2714 | #!/usr/bin/env python
from __future__ import division, print_function, absolute_import
import sys
import os
PPRZ_SRC = os.getenv("PAPARAZZI_SRC", "../../../..")
sys.path.append(PPRZ_SRC + "/sw/lib/python")
from pprz_math.geodetic import *
from pprz_math.algebra import DoubleRMat, DoubleEulers, DoubleVect3
from math ... | gpl-2.0 |
prabhamatta/Analyzing-Open-Data | notebooks/Day_06_B_Generators.py | 3 | 10025 | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <headingcell level=1>
# Goals
# <markdowncell>
# **To practice using generators to yield geographical entities of various types.**
#
# Generators are a bit complicated, and I won't try to explain all the intricacies here. I will show you how to use `yield` in... | apache-2.0 |
billy-inn/scikit-learn | examples/model_selection/grid_search_digits.py | 227 | 2665 | """
============================================================
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.grid_search.GridSearc... | bsd-3-clause |
BiaDarkia/scikit-learn | sklearn/utils/tests/test_sparsefuncs.py | 22 | 18104 | import numpy as np
import scipy.sparse as sp
from scipy import linalg
from numpy.testing import (assert_array_almost_equal,
assert_array_equal,
assert_equal)
from numpy.random import RandomState
from sklearn.datasets import make_classification
from sklearn.utils.s... | bsd-3-clause |
mblondel/scikit-learn | sklearn/utils/tests/test_utils.py | 23 | 6045 | import warnings
import numpy as np
import scipy.sparse as sp
from scipy.linalg import pinv2
from sklearn.utils.testing import (assert_equal, assert_raises, assert_true,
assert_almost_equal, assert_array_equal,
SkipTest)
from sklearn.utils import c... | bsd-3-clause |
mjvakili/ccppabc | ccppabc/code/archive/wp_covariance.py | 1 | 1717 | from halotools.empirical_models import Zheng07 , model_defaults
from halotools.mock_observables import wp
from halotools.mock_observables.clustering import tpcf
from halotools.empirical_models.mock_helpers import (three_dim_pos_bundle,
infer_mask_from_kwargs)
from ha... | mit |
dgrtwo/gleam | examples/baseball.py | 1 | 2364 | import os
from collections import OrderedDict
from flask import Flask
from wtforms import fields
from ggplot import (aes, stat_smooth, geom_point, geom_text, ggtitle, ggplot,
xlab, ylab)
import numpy as np
import pandas as pd
from gleam import Page, panels
# setup
stats = ['At-Bats (AB)', 'Runs... | mit |
ywang037/delta-ntu-slerp4 | Training/train_mobilenet_casia_1771.py | 1 | 7420 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 4 14:47:47 2017
@author: slerp4
Compared with _debug version, this version excludes RMSprop optimizer
"""
#import tensorflow as tf
from keras import backend as K
from keras.applications.mobilenet import MobileNet
from keras.preprocessing.image im... | mit |
endolith/scipy | scipy/stats/stats.py | 5 | 316939 | # Copyright 2002 Gary Strangman. All rights reserved
# Copyright 2002-2016 The SciPy Developers
#
# The original code from Gary Strangman was heavily adapted for
# use in SciPy by Travis Oliphant. The original code came with the
# following disclaimer:
#
# This software is provided "as-is". There are no expressed or... | bsd-3-clause |
annayqho/TheCannon | presentations/for_michigan/make_talk_plots.py | 1 | 4618 | import pickle
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
# make sample spectra
plot(dataset.wl, dataset.tr_flux[2,:], alpha=0.7, c='k')
title(r"Typical High-S/N LAMOST Spectrum", fontsize=27)
xlim(3500, 9500)
tick_params(axis='x', labelsize=27)
tick_para... | mit |
fabianp/scikit-learn | examples/linear_model/plot_bayesian_ridge.py | 248 | 2588 | """
=========================
Bayesian Ridge Regression
=========================
Computes a Bayesian Ridge Regression on a synthetic dataset.
See :ref:`bayesian_ridge_regression` for more information on the regressor.
Compared to the OLS (ordinary least squares) estimator, the coefficient
weights are slightly shift... | bsd-3-clause |
sanketloke/scikit-learn | examples/model_selection/plot_confusion_matrix.py | 47 | 2495 | """
================
Confusion matrix
================
Example of confusion matrix usage to evaluate the quality
of the output of a classifier on the iris data set. The
diagonal elements represent the number of points for which
the predicted label is equal to the true label, while
off-diagonal elements are those that ... | bsd-3-clause |
ch3ll0v3k/scikit-learn | sklearn/linear_model/coordinate_descent.py | 37 | 74167 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Gael Varoquaux <gael.varoquaux@inria.fr>
#
# License: BSD 3 clause
import sys
import warnings
from abc import ABCMeta, abstractmethod
import n... | bsd-3-clause |
Cadair/solarbextrapolation | solarbextrapolation/analyticalmodels/base.py | 1 | 8605 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 28 19:30:22 2015
@author: alex_
"""
# General Imports
import matplotlib as mpl
mpl.use('TkAgg') # Force mpl backend not to use qt. Else we have a conflict.
import numpy as np
#import pickle
import time
from datetime import datetime
#from collections import namedtuple
imp... | mit |
zorojean/scikit-learn | examples/ensemble/plot_adaboost_regression.py | 311 | 1529 | """
======================================
Decision Tree Regression with AdaBoost
======================================
A decision tree is boosted using the AdaBoost.R2 [1] algorithm on a 1D
sinusoidal dataset with a small amount of Gaussian noise.
299 boosts (300 decision trees) is compared with a single decision tr... | bsd-3-clause |
zfrenchee/pandas | pandas/tests/io/json/test_ujson.py | 1 | 56098 | # -*- coding: utf-8 -*-
try:
import json
except ImportError:
import simplejson as json
import math
import pytz
import pytest
import time
import datetime
import calendar
import re
import decimal
import dateutil
from functools import partial
from pandas.compat import range, zip, StringIO, u
import pandas._libs.j... | bsd-3-clause |
lifeinoppo/littlefishlet-scode | RES/REF/python_sourcecode/ipython-master/IPython/sphinxext/ipython_directive.py | 12 | 42845 | # -*- coding: utf-8 -*-
"""
Sphinx directive to support embedded IPython code.
This directive allows pasting of entire interactive IPython sessions, prompts
and all, and their code will actually get re-executed at doc build time, with
all prompts renumbered sequentially. It also allows you to input code as a pure
pyth... | gpl-2.0 |
cs-chan/Deep-Plant | GRU-CFA/Codes/visualClef.py | 1 | 18504 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 2 15:24:59 2018
@author: root
"""
import cPickle as pkl
import numpy
import cv2
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import skimage
import skimage.transform
import skimage.io
from PIL import Image, ImageEnhance
import scipy.misc
import tensorfl... | bsd-3-clause |
CforED/Machine-Learning | sklearn/datasets/__init__.py | 72 | 3807 | """
The :mod:`sklearn.datasets` module includes utilities to load datasets,
including methods to load and fetch popular reference datasets. It also
features some artificial data generators.
"""
from .base import load_diabetes
from .base import load_digits
from .base import load_files
from .base import load_iris
from .... | bsd-3-clause |
lin-credible/scikit-learn | examples/tree/plot_iris.py | 271 | 2186 | """
================================================================
Plot the decision surface of a decision tree on the iris dataset
================================================================
Plot the decision surface of a decision tree trained on pairs
of features of the iris dataset.
See :ref:`decision tree ... | bsd-3-clause |
rhyolight/nupic.research | projects/sequence_prediction/continuous_sequence/run_elm.py | 10 | 8061 | # ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2013-2015, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This p... | gpl-3.0 |
joshloyal/scikit-learn | 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]],
... | bsd-3-clause |
skggm/skggm | examples/trace_plot_example.py | 1 | 3138 | """
Visualize Regularization Path
=============================
Plot the edge level coefficients (inverse covariance entries)
as a function of the regularization parameter.
"""
import sys
import numpy as np
from sklearn.datasets import make_sparse_spd_matrix
sys.path.append("..")
from inverse_covariance import Quic... | mit |
niun/pyoscope | tests/display_wr.py | 2 | 1164 | #!/usr/bin/env python
#
# PyUSBtmc
# display_channel.py
#
# Copyright (c) 2011 Mike Hadmack
# Copyright (c) 2010 Matt Mets
# This code is distributed under the MIT license
#
# This script is just to test waverunner functionality as a module
#
import numpy
from matplotlib import pyplot
import sys
import os
sys.path.app... | mit |
rgommers/numpy | numpy/core/numeric.py | 7 | 76727 | import functools
import itertools
import operator
import sys
import warnings
import numbers
import numpy as np
from . import multiarray
from .multiarray import (
_fastCopyAndTranspose as fastCopyAndTranspose, ALLOW_THREADS,
BUFSIZE, CLIP, MAXDIMS, MAY_SHARE_BOUNDS, MAY_SHARE_EXACT, RAISE,
WRAP, arange, arr... | bsd-3-clause |
clairetang6/bokeh | bokeh/charts/builders/bar_builder.py | 5 | 12416 | """This is the Bokeh charts interface. It gives you a high level API to build
complex plot is a simple way.
This is the Bar class which lets you build your Bar charts just passing
the arguments to the Chart class and calling the proper functions.
It also add a new chained stacked method.
"""
# ------------------------... | bsd-3-clause |
Balandat/cont_no_regret | old_code/testing.py | 1 | 3136 | '''
Created on Feb 24, 2015
@author: balandat
'''
import numpy as np
from scipy.integrate import quad
import matplotlib.pyplot as plt
from ContNoRegret.Domains import S
from ContNoRegret.Distributions import Uniform
from ContNoRegret.utils import create_random_Sigmas
from ContNoRegret.LossFunctions import GaussianLos... | mit |
mjudsp/Tsallis | examples/preprocessing/plot_robust_scaling.py | 85 | 2698 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Robust Scaling on Toy Data
=========================================================
Making sure that each Feature has approximately the same scale can be a
crucial preprocessing step. However, when data contains o... | bsd-3-clause |
shusenl/scikit-learn | benchmarks/bench_plot_parallel_pairwise.py | 297 | 1247 | # Author: Mathieu Blondel <mathieu@mblondel.org>
# License: BSD 3 clause
import time
import pylab as pl
from sklearn.utils import check_random_state
from sklearn.metrics.pairwise import pairwise_distances
from sklearn.metrics.pairwise import pairwise_kernels
def plot(func):
random_state = check_random_state(0)
... | bsd-3-clause |
mne-tools/mne-tools.github.io | 0.19/_downloads/33b5e3cff5c172d72c79c6eec192b031/plot_label_from_stc.py | 20 | 4093 | """
=================================================
Generate a functional label from source estimates
=================================================
Threshold source estimates and produce a functional label. The label
is typically the region of interest that contains high values.
Here we compare the average time ... | bsd-3-clause |
hfut721/RPN | tools/demo.py | 10 | 5028 | #!/usr/bin/env python
# --------------------------------------------------------
# Faster R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""
Demo script showing detections in sample i... | mit |
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