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 |
|---|---|---|---|---|---|
nrhine1/scikit-learn | sklearn/datasets/twenty_newsgroups.py | 126 | 13591 | """Caching loader for the 20 newsgroups text classification dataset
The description of the dataset is available on the official website at:
http://people.csail.mit.edu/jrennie/20Newsgroups/
Quoting the introduction:
The 20 Newsgroups data set is a collection of approximately 20,000
newsgroup documents,... | bsd-3-clause |
dingocuster/scikit-learn | examples/bicluster/bicluster_newsgroups.py | 162 | 7103 | """
================================================================
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 |
readevalprint/zipline | tests/test_utils.py | 7 | 2173 | #
# Copyright 2013 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 |
Sandia2014/intrepid | ArrayOfDotProducts/generatePlots.py | 1 | 18894 | import math
import os
import sys
import numpy
import scipy
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.cm as cm
import csv
from mpl_toolkits.mplot3d import Axes3D
from numpy import log10
prefix = 'data/ArrayOfDotProducts_'
suffix = '_clearCache_sha... | mit |
tmthydvnprt/pfcompute | pf/io.py | 1 | 21872 | """
io.py
Input and Output functions.
project : pf
version : 0.0.0
status : development
modifydate :
createdate :
website : https://github.com/tmthydvnprt/pf
author : tmthydvnprt
email : tim@tmthydvnprt.com
maintainer : tmthydvnprt
license : MIT
copyright : Copyright 2016, tmthydvnprt
credit... | mit |
AnatolyPavlov/smart-battery-for-smart-energy-usage | src/price_data_London.py | 1 | 1031 | """ This script reads and transforms pricing data to pd.DataFrame as time-series"""
import pandas as pd
from datetime import timedelta
# Custom Modules:
from data_preprocessing import ExtractTimeSeries
from auxiliary_functions import print_process
def main():
df = pd.read_excel('../data/Tariffs.xlsx')
df.loc... | gpl-3.0 |
ngoix/OCRF | benchmarks/bench_tree.py | 297 | 3617 | """
To run this, you'll need to have installed.
* scikit-learn
Does two benchmarks
First, we fix a training set, increase the number of
samples to classify and plot number of classified samples as a
function of time.
In the second benchmark, we increase the number of dimensions of the
training set, classify a sam... | bsd-3-clause |
jkoelker/python-tradeking | tradeking/api.py | 1 | 11467 | # -*- coding: utf-8 -*-
import urllib.parse
import requests_oauthlib as roauth
import pandas as pd
from tradeking import utils
BASE_URL = 'https://api.tradeking.com/v1'
_DATE_KEYS = ('date', 'datetime', 'divexdate', 'divpaydt', 'timestamp',
'pr_date', 'wk52hidate', 'wk52lodate', 'xdate')
_FLOAT_KEYS ... | mit |
warmspringwinds/scikit-image | skimage/io/tests/test_mpl_imshow.py | 1 | 2822 | from __future__ import division
import numpy as np
from skimage import io
from skimage._shared._warnings import expected_warnings
import matplotlib.pyplot as plt
def setup():
io.reset_plugins()
# test images. Note that they don't have their full range for their dtype,
# but we still expect the display range to ... | bsd-3-clause |
SmokinCaterpillar/pypet | pypet/tests/profiling/speed_analysis/avg_runtima_as_function_of_length.py | 2 | 2266 | __author__ = 'robert'
from pypet import Environment, Trajectory
from pypet.tests.testutils.ioutils import make_temp_dir, get_log_config
import os
import matplotlib.pyplot as plt
import numpy as np
import time
def job(traj):
traj.f_ares('$set.$', 42, comment='A result')
def get_runtime(length):
filename =... | bsd-3-clause |
rohit21122012/DCASE2013 | runs/2013/dnn_layerwise/bs1024/dnn_5layer/src/dataset.py | 37 | 78389 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import urllib2
import socket
import locale
import zipfile
import tarfile
from sklearn.cross_validation import StratifiedShuffleSplit, KFold
from ui import *
from general import *
from files import *
class Dataset(object):
"""Dataset base class.
The sp... | mit |
chanceraine/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... | agpl-3.0 |
AlexanderFabisch/scikit-learn | benchmarks/bench_isotonic.py | 268 | 3046 | """
Benchmarks of isotonic regression performance.
We generate a synthetic dataset of size 10^n, for n in [min, max], and
examine the time taken to run isotonic regression over the dataset.
The timings are then output to stdout, or visualized on a log-log scale
with matplotlib.
This alows the scaling of the algorith... | bsd-3-clause |
luo66/scikit-learn | examples/svm/plot_rbf_parameters.py | 132 | 8096 | '''
==================
RBF SVM parameters
==================
This example illustrates the effect of the parameters ``gamma`` and ``C`` of
the Radial Basis Function (RBF) kernel SVM.
Intuitively, the ``gamma`` parameter defines how far the influence of a single
training example reaches, with low values meaning 'far' a... | bsd-3-clause |
leal26/pyXFOIL | examples/2D/flight_conditions/convergence_study.py | 2 | 4724 | import pickle
import numpy as np
import pandas as pd
import seaborn as sns
from scipy import interpolate
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.metrics import pairwise_distances_argmin_min
import aeropy.xfoil_module as xf
from aeropy.aero_module import Reynolds
from aeropy.geom... | mit |
fmaguire/BayeHem | Spearmint/spearmint/tests/models/in_progress/gp.py | 2 | 15806 | # -*- coding: utf-8 -*-
# Spearmint
#
# Academic and Non-Commercial Research Use Software License and Terms
# of Use
#
# Spearmint is a software package to perform Bayesian optimization
# according to specific algorithms (the “Software”). The Software is
# designed to automatically run experiments (thus the code name
... | apache-2.0 |
rgommers/scipy | scipy/integrate/_ivp/ivp.py | 21 | 27556 | import inspect
import numpy as np
from .bdf import BDF
from .radau import Radau
from .rk import RK23, RK45, DOP853
from .lsoda import LSODA
from scipy.optimize import OptimizeResult
from .common import EPS, OdeSolution
from .base import OdeSolver
METHODS = {'RK23': RK23,
'RK45': RK45,
'DOP853': ... | bsd-3-clause |
DailyActie/Surrogate-Model | 01-codes/deap-master/examples/ga/nsga2.py | 1 | 5078 | # 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 |
shikhardb/scikit-learn | sklearn/linear_model/tests/test_logistic.py | 11 | 23587 | import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.util... | bsd-3-clause |
Stargrazer82301/CAAPR | CAAPR/CAAPR_Main.py | 1 | 4967 | # Import smorgasbord
import sys
import os
import gc
import time
import random
#import warnings
#warnings.filterwarnings('ignore')
import matplotlib
matplotlib.use('Agg')
import multiprocessing as mp
import CAAPR
import CAAPR.CAAPR_IO
import CAAPR.CAAPR_Pipeline
import pdb
# Define the function th... | mit |
MicheleMaris/grasp_lib | grasp_lib.py | 1 | 64897 | __DESCRIPTION__="""
grasp_lib.py V 0.6 - 3 Feb 2012 - 23 Mar 2012 (0.4) - 2012 Nov 27 (0.5) - 2013 Dec 12 -
M.Maris, M.Sandri, F.Villa
From a set of routines created by M.Sandri e F.Villa
This library allows to import a grasp file in GRASP format and to convert it in an healpix map, it also
performs interpol... | gpl-2.0 |
elijah513/scikit-learn | examples/decomposition/plot_faces_decomposition.py | 204 | 4452 | """
============================
Faces dataset decompositions
============================
This example applies to :ref:`olivetti_faces` different unsupervised
matrix decomposition (dimension reduction) methods from the module
:py:mod:`sklearn.decomposition` (see the documentation chapter
:ref:`decompositions`) .
"""... | bsd-3-clause |
maminian/skewtools | scripts/animate_particles_2d_labframe_v2.py | 1 | 1976 | from numpy import *
from matplotlib import pyplot
import scripts.skewtools as st
import sys
X,Y,t,Pe = st.importDatasets(sys.argv[1],'X','Y','Time','Peclet')
figscale = 5.
fig,ax = pyplot.subplots(2,1,figsize=(4*figscale,1.5*figscale))
orig0 = ax[0].get_position()
orig1 = ax[1].get_position()
ax[0].set_position([o... | gpl-3.0 |
eramirem/astroML | book_figures/chapter10/fig_FFT_aliasing.py | 3 | 5126 | """
The effect of Sampling
----------------------
Figure 10.3
A visualization of aliasing in the Fourier transform. In each set of four
panels, the top-left panel shows a signal and a regular sampling function, the
top-right panel shows the Fourier transform of the signal and sampling
function, the bottom-left panel s... | bsd-2-clause |
amandalund/openmc | tests/regression_tests/mgxs_library_no_nuclides/test.py | 6 | 2709 | import hashlib
import openmc
import openmc.mgxs
from openmc.examples import pwr_pin_cell
from tests.testing_harness import PyAPITestHarness
class MGXSTestHarness(PyAPITestHarness):
def __init__(self, *args, **kwargs):
# Generate inputs using parent class routine
super().__init__(*args, **kwargs)... | mit |
martin-sicho/MI_ADM | compound_db_utils/data_loaders.py | 1 | 2695 | import math
import pandas
from rdkit.Chem import PandasTools, Descriptors, MolFromSmiles
from sqlalchemy.orm import sessionmaker
import compound_db_utils.database as db
from compound_db_utils import settings
def _gather_columns(table, col_list):
columns = []
for col in col_list:
columns.append(getatt... | gpl-3.0 |
mbayon/TFG-MachineLearning | vbig/lib/python2.7/site-packages/sklearn/metrics/cluster/bicluster.py | 359 | 2797 | from __future__ import division
import numpy as np
from sklearn.utils.linear_assignment_ import linear_assignment
from sklearn.utils.validation import check_consistent_length, check_array
__all__ = ["consensus_score"]
def _check_rows_and_columns(a, b):
"""Unpacks the row and column arrays and checks their shap... | mit |
Bismarrck/tensorflow | tensorflow/contrib/learn/python/learn/estimators/multioutput_test.py | 136 | 1696 | # 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 |
petercable/xray | xray/core/combine.py | 1 | 15637 | import warnings
import pandas as pd
from . import utils
from .pycompat import iteritems, reduce, OrderedDict, basestring
from .variable import Variable
def concat(objs, dim=None, data_vars='all', coords='different',
compat='equals', positions=None, indexers=None, mode=None,
concat_over=None):
... | apache-2.0 |
geodynamics/burnman | examples/example_seismic_travel_times.py | 2 | 9054 | # This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for the Earth and Planetary Sciences
# Copyright (C) 2012 - 2015 by the BurnMan team, released under the GNU
# GPL v2 or later.
"""
This example script produces an input files for travel time calculations in ObsPy, either by replacing one layer ... | gpl-2.0 |
huzq/scikit-learn | examples/ensemble/plot_voting_decision_regions.py | 23 | 2610 | """
==================================================
Plot the decision boundaries of a VotingClassifier
==================================================
.. currentmodule:: sklearn
Plot the decision boundaries of a :class:`~ensemble.VotingClassifier` for two
features of the Iris dataset.
Plot the class probabilit... | bsd-3-clause |
beiko-lab/gengis | bin/Lib/site-packages/mpl_toolkits/axisartist/axislines.py | 6 | 25977 | """
Axislines includes modified implementation of the Axes class. The
biggest difference is that the artists responsible to draw axis line,
ticks, ticklabel and axis labels are separated out from the mpl's Axis
class, which are much more than artists in the original
mpl. Originally, this change was motivated to support... | gpl-3.0 |
PanDAWMS/panda-server | pandaserver/jobdispatcher/Protocol.py | 1 | 16027 | import re
import json
import base64
try:
from urllib import urlencode
except ImportError:
from urllib.parse import urlencode
from pandaserver.taskbuffer import EventServiceUtils
from pandaserver.dataservice import DataServiceUtils
# constants
TimeOutToken = "TimeOut"
NoJobsToken = "NoJobs"
########### status... | apache-2.0 |
giorgiop/scikit-learn | sklearn/datasets/tests/test_samples_generator.py | 181 | 15664 | from __future__ import division
from collections import defaultdict
from functools import partial
import numpy as np
import scipy.sparse as sp
from sklearn.externals.six.moves import zip
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing imp... | bsd-3-clause |
bsipocz/bokeh | bokeh/charts/builder/histogram_builder.py | 43 | 9142 | """This is the Bokeh charts interface. It gives you a high level API to build
complex plot is a simple way.
This is the Histogram class which lets you build your histograms just passing
the arguments to the Chart class and calling the proper functions.
"""
#-------------------------------------------------------------... | bsd-3-clause |
olologin/scikit-learn | sklearn/gaussian_process/gpc.py | 42 | 31571 | """Gaussian processes classification."""
# 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
from scipy.optimize import fmin_l_bfgs_b
from scipy.special import erf... | bsd-3-clause |
apaleyes/mxnet | example/rcnn/rcnn/pycocotools/coco.py | 17 | 18296 | __author__ = 'tylin'
__version__ = '2.0'
# Interface for accessing the Microsoft COCO dataset.
# Microsoft COCO is a large image dataset designed for object detection,
# segmentation, and caption generation. pycocotools is a Python API that
# assists in loading, parsing and visualizing the annotations in COCO.
# Pleas... | apache-2.0 |
MadsJensen/RP_scripts | skmodels_results.py | 1 | 3022 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 23 14:50:08 2016
@author: mje
"""
import numpy as np
import pandas as pd
from sklearn.externals import joblib
import mne
import glob
from my_settings import *
labels = mne.read_labels_from_annot(subject="0008",
parc="PALS_B12_Brodma... | bsd-3-clause |
COSMOGRAIL/COSMOULINE | pipe/extrascripts/read_stat_rdbfiles.py | 1 | 3050 | import numpy as np
import pickle as pkl
import pycs, os
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams['ps.fonttype'] = 42
mpl.rcParams['font.family'] = 'serif'
mpl.rcParams['xtick.labelsize'] = 14
mpl.rcParams['ytick.labelsize'] = 14
rdb_list = [
"/Users/martin/Desktop/cosmograil-dr1/WFI_l... | gpl-3.0 |
uetke/experimentor | experimentor/drivers/hamamatsu/hamamatsu_camera.py | 1 | 34446 | # -*- coding: utf-8 -*-
"""
UUTrack.Controller.devices.hamamatsu.hamamatsu_camera.py
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
File taken from `ZhuangLab <https://github.com/ZhuangLab/storm-control>`_
A ctypes based interface to Hamamatsu cameras.
(tested on a sCMOS Flash 4.0).
... | mit |
kaichogami/sympy | sympy/plotting/plot_implicit.py | 83 | 14400 | """Implicit plotting module for SymPy
The module implements a data series called ImplicitSeries which is used by
``Plot`` class to plot implicit plots for different backends. The module,
by default, implements plotting using interval arithmetic. It switches to a
fall back algorithm if the expression cannot be plotted ... | bsd-3-clause |
kjung/scikit-learn | examples/text/document_classification_20newsgroups.py | 27 | 10521 | """
======================================================
Classification of text documents using sparse features
======================================================
This is an example showing how scikit-learn can be used to classify documents
by topics using a bag-of-words approach. This example uses a scipy.spars... | bsd-3-clause |
mne-tools/mne-tools.github.io | 0.21/_downloads/6f20d729433c52851fc6a16e7531cf37/plot_compute_csd.py | 20 | 3996 | """
==================================================
Compute a cross-spectral density (CSD) matrix
==================================================
A cross-spectral density (CSD) matrix is similar to a covariance matrix, but in
the time-frequency domain. It is the first step towards computing
sensor-to-sensor cohe... | bsd-3-clause |
espenhgn/nest-simulator | doc/guides/spatial/user_manual_scripts/connections.py | 5 | 20252 | # -*- coding: utf-8 -*-
#
# connections.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 |
chugunovyar/factoryForBuild | env/lib/python2.7/site-packages/matplotlib/tests/test_backend_svg.py | 5 | 5466 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
from io import BytesIO
import xml.parsers.expat
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import cleanup
from matplotlib.testing.decorators import image_... | gpl-3.0 |
zfrenchee/pandas | pandas/core/apply.py | 1 | 9002 | import numpy as np
from pandas import compat
from pandas._libs import lib
from pandas.core.dtypes.common import (
is_extension_type,
is_sequence)
from pandas.io.formats.printing import pprint_thing
def frame_apply(obj, func, axis=0, broadcast=False,
raw=False, reduce=None, args=(), **kwds):
... | bsd-3-clause |
stack-of-tasks/sot-stabilizer | python/scripts/appli_two_hands_compensater.py | 2 | 1608 | # Launch it with py ../robotViewerLauncher.py +compensater.py +appli.py
import sys
import numpy as np
import matplotlib.pyplot as pl
import dynamic_graph as dg
import dynamic_graph.signal_base as dgsb
from math import sin
from dynamic_graph.sot.application.stabilizer.compensater import *
appli = HandCompensater(rob... | lgpl-3.0 |
markr622/moose | framework/scripts/memory_logger.py | 20 | 43940 | #!/usr/bin/env python
from tempfile import TemporaryFile, SpooledTemporaryFile
import os, sys, re, socket, time, pickle, csv, uuid, subprocess, argparse, decimal, select, platform
class LLDB:
def __init__(self):
self.debugger = lldb.SBDebugger.Create()
self.command_interpreter = self.debugger.GetCommandInter... | lgpl-2.1 |
phaustin/pyman | Book/chap8/sources/FitA.py | 3 | 11175 | """Class for fitting data to y = a + bx"""
import numpy as np
import sys
class FitLin:
def __init__(self, x, y, dy=1.0):
if isinstance(x, np.ndarray)==False:
x = np.array(x)
if isinstance(y, np.ndarray)==False:
y = np.array(y)
if isinstance(dy, np.ndarray)==False:
... | cc0-1.0 |
heli522/scikit-learn | examples/mixture/plot_gmm_selection.py | 248 | 3223 | """
=================================
Gaussian Mixture Model Selection
=================================
This example shows that model selection can be performed with
Gaussian Mixture Models using information-theoretic criteria (BIC).
Model selection concerns both the covariance type
and the number of components in th... | bsd-3-clause |
mshakya/PyPiReT | piret/checks/dependencies.py | 1 | 1596 | #! /usr/bin/env python
"""Check design."""
from __future__ import print_function
import sys
from plumbum import local
class CheckDependencies():
"""Check if third party dependencies are in the path."""
def __init__(self, package):
"""Initialize."""
self.package = package
# self.logge... | bsd-3-clause |
PrashntS/scikit-learn | sklearn/metrics/classification.py | 95 | 67713 | """Metrics to assess performance on classification task given classe prediction
Functions named as ``*_score`` return a scalar value to maximize: the higher
the better
Function named as ``*_error`` or ``*_loss`` return a scalar value to minimize:
the lower the better
"""
# Authors: Alexandre Gramfort <alexandre.gram... | bsd-3-clause |
robjstan/modelling-course | notebooks/python/f02.py | 1 | 2889 | # setup ipython environment
from ipywidgets import interact, fixed
# setup python environment
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
def plot_expm(r:(0,4,0.1)=1.1, n0=fixed(100)):
nt = [r**t * n0 for t in range(10)]
plt.figure(figsize=[9,4])
plt.plot(nt, lw=2)
plt.... | mit |
ikaee/bfr-attendant | facerecognitionlibrary/jni-build/jni/include/tensorflow/examples/learn/text_classification_character_cnn.py | 18 | 4289 | # 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 |
rohit21122012/DCASE2013 | runs/2016/baseline64/src/dataset.py | 37 | 78389 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import urllib2
import socket
import locale
import zipfile
import tarfile
from sklearn.cross_validation import StratifiedShuffleSplit, KFold
from ui import *
from general import *
from files import *
class Dataset(object):
"""Dataset base class.
The sp... | mit |
IshankGulati/scikit-learn | examples/linear_model/plot_ransac.py | 103 | 1797 | """
===========================================
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 |
shiquanwang/caffe | python/detect.py | 25 | 5026 | #!/usr/bin/env python
"""
detector.py is an out-of-the-box windowed detector
callable from the command line.
By default it configures and runs the Caffe reference ImageNet model.
Note that this model was trained for image classification and not detection,
and finetuning for detection can be expected to improve results... | bsd-2-clause |
pratapvardhan/pandas | pandas/tests/tseries/test_frequencies.py | 5 | 30953 | from datetime import datetime, timedelta
from pandas.compat import range
import pytest
import numpy as np
from pandas import (Index, DatetimeIndex, Timestamp, Series,
date_range, period_range)
from pandas._libs.tslibs.frequencies import (_period_code_map,
... | bsd-3-clause |
PredictiveScienceLab/GPy | GPy/examples/regression.py | 8 | 18746 | # Copyright (c) 2012-2014, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
"""
Gaussian Processes regression examples
"""
try:
from matplotlib import pyplot as pb
except:
pass
import numpy as np
import GPy
def olympic_marathon_men(optimize=True, plot=True):
"""Ru... | bsd-3-clause |
ningchi/scikit-learn | sklearn/utils/validation.py | 66 | 23629 | """Utilities for input validation"""
# Authors: Olivier Grisel
# Gael Varoquaux
# Andreas Mueller
# Lars Buitinck
# Alexandre Gramfort
# Nicolas Tresegnie
# License: BSD 3 clause
import warnings
import numbers
import numpy as np
import scipy.sparse as sp
from ..externals i... | bsd-3-clause |
NDKoehler/DataScienceBowl2017_7th_place | dsb3/steps/include_nodule_distr.py | 1 | 4656 | import numpy as np
import json
from collections import OrderedDict
from scipy.spatial import distance
from numpy.linalg import eigh
from matplotlib import pyplot as plt
import sklearn.metrics
import xgboost as xgb
from .. import pipeline as pipe
import numpy.random as random
import sys
import pandas as pd
np.random.see... | mit |
liyu1990/sklearn | sklearn/decomposition/tests/test_nmf.py | 26 | 8544 | import numpy as np
from scipy import linalg
from sklearn.decomposition import (NMF, ProjectedGradientNMF,
non_negative_factorization)
from sklearn.decomposition import nmf # For testing internals
from scipy.sparse import csc_matrix
from sklearn.utils.testing import assert_true
from... | bsd-3-clause |
Mendeley/mrec | mrec/tests/test_base_recommender.py | 3 | 2137 | try:
import cPickle as pickle
except ImportError:
import pickle
import tempfile
import os
import numpy as np
from nose.tools import assert_less_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_array_equal
from mrec.tes... | bsd-3-clause |
vortex-ape/scikit-learn | sklearn/decomposition/tests/test_fastica.py | 10 | 9453 | """
Test the fastica algorithm.
"""
import itertools
import warnings
import numpy as np
from scipy import stats
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_less
... | bsd-3-clause |
vacaciones/vacaciones | Quandl/organize_bonds_data.py | 1 | 5194 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 06 13:52:21 2016
@author: ialbuq01
"""
#get brazillian bonds from debentures.com.br (anbima)
import pandas as pd
import pandas.io.data as web
from string import maketrans
import numpy as np
from xlrd import open_workbook
import pickle
from re import sub
from decimal im... | mit |
brguez/TEIBA | src/python/sourceElement_validationSamples.py | 1 | 13301 | #!/usr/bin/env python
#coding: utf-8
#### FUNCTIONS ####
def header(string):
"""
Display header
"""
timeInfo = time.strftime("%Y-%m-%d %H:%M")
print '\n', timeInfo, "****", string, "****"
def subHeader(string):
"""
Display subheader
"""
timeInfo = time.strftime("%Y-%m-%... | gpl-3.0 |
kshedstrom/pyroms | examples/Palau_HYCOM/remap.py | 1 | 4890 | import numpy as np
import os
try:
import netCDF4 as netCDF
except:
import netCDF3 as netCDF
import matplotlib.pyplot as plt
import time
from datetime import datetime
from matplotlib.dates import date2num, num2date
import pyroms
import pyroms_toolbox
import _remapping
class nctime(object):
pass
def remap(src_... | bsd-3-clause |
PeterRochford/SkillMetrics | skill_metrics/get_target_diagram_options.py | 1 | 6350 | def get_target_diagram_options(**kwargs):
'''
Get optional arguments for target_diagram function.
Retrieves the optional arguments supplied to the TARGET_DIAGRAM
function as a variable-length keyword argument list (*KWARGS), and
returns the values in an OPTION dictionary. Default values are
... | gpl-3.0 |
imperial-genomics-facility/data-management-python | igf_data/utils/tools/ppqt_utils.py | 1 | 5010 | import os,subprocess
from shlex import quote
import pandas as pd
from igf_data.utils.fileutils import check_file_path, get_temp_dir,copy_local_file,remove_dir
class Ppqt_tools:
'''
A class for running Phantom quality control tools (PPQT)
'''
def __init__(self,rscript_path,ppqt_exe,threads=1,use_ephemeral_space... | apache-2.0 |
simonsfoundation/CaImAn | demos/obsolete/1_1/demo_caiman_basic_1_1.py | 2 | 6172 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Stripped demo for running the CNMF source extraction algorithm with CaImAn and
evaluation the components. The analysis can be run either in the whole FOV
or in patches. For a complete pipeline (including motion correction)
check demo_pipeline.py
Data courtesy of W. Ya... | gpl-2.0 |
timmie/cartopy | lib/cartopy/tests/mpl/test_gridliner.py | 2 | 6239 | # (C) British Crown Copyright 2011 - 2016, 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)... | gpl-3.0 |
Clyde-fare/scikit-learn | examples/linear_model/plot_ols.py | 220 | 1940 | #!/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 |
sandeepgupta2k4/tensorflow | tensorflow/contrib/learn/python/learn/estimators/estimator.py | 5 | 55283 | # 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 |
mikebenfield/scikit-learn | examples/linear_model/plot_logistic.py | 73 | 1568 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Logistic function
=========================================================
Shown in the plot is how the logistic regression would, in this
synthetic dataset, classify values as either 0 or 1,
i.e. class one or tw... | bsd-3-clause |
bsipocz/ginga | examples/matplotlib/example1_mpl.py | 1 | 5859 | #! /usr/bin/env python
#
# example1_mpl.py -- Simple, configurable FITS viewer using a matplotlib
# QtAgg backend for Ginga and embedded in a Qt program.
#
# Eric Jeschke (eric@naoj.org)
#
# Copyright (c) Eric R. Jeschke. All rights reserved.
# This is open-source software licensed under a BSD li... | bsd-3-clause |
laranea/trading-with-python | nautilus/nautilus.py | 77 | 5403 | '''
Created on 26 dec. 2011
Copyright: Jev Kuznetsov
License: BSD
'''
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from ib.ext.Contract import Contract
from ib.opt import ibConnection
from ib.ext.Order import Order
import tradingWithPython.lib.logger as logger
from tradingWithPython.lib.eve... | bsd-3-clause |
blackecho/Deep-Learning-TensorFlow | yadlt/models/boltzmann/rbm.py | 2 | 11013 | """Restricted Boltzmann Machine TensorFlow implementation."""
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from yadlt.core import Layers, Loss
from yadlt.core import UnsupervisedModel
from yadlt.utils import tf_utils, utilities... | mit |
sergiohzlz/lectorcfdi | extrainfo.py | 1 | 8345 | #!/usr/bin/python
#-*-coding:utf8-*-
from bs4 import BeautifulSoup as Soup
#import pandas as pd
import glob
import sys
import re
"""
Version xml de cfdi 3.3
"""
class CFDI(object):
def __init__(self, f):
"""
Constructor que requiere en el parámetro una cadena con el nombre del
cfdi.
... | apache-2.0 |
tlhr/plumology | plumology/io/hdf.py | 1 | 7625 | """hdf - HDF5 wrappers and utilities"""
from typing import (Any, Sequence, List, Mapping,
Callable, Union, Optional)
import h5py
import numpy as np
import pandas as pd
from .rw import read_plumed_fields
__all__ = ['plumed_to_h5', 'plumed_to_hdf', 'hdf_to_dataframe']
def plumed_to_hdf(
... | mit |
PROSIC/prosic-evaluation | scripts/plot-concordance.py | 1 | 4454 | from itertools import product
import matplotlib
matplotlib.use("agg")
from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd
import common
import numpy as np
import math
from matplotlib.lines import Line2D
from matplotlib.colors import to_rgba
class NotEnoughObservationsException(Exception):
... | mit |
douglask3/UKESM_LandSurface_plotting | libs/plot_TS.py | 1 | 1606 | import iris
import numpy as np
import cartopy.crs as ccrs
import iris.plot as iplt
import matplotlib.pyplot as plt
from pdb import set_trace as browser
def grid_area(cube):
if cube.coord('latitude').bounds is None:
cube.coord('latitude').guess_bounds()
cube.coord('longitude').guess_bounds()
r... | gpl-3.0 |
henrykironde/scikit-learn | examples/applications/plot_species_distribution_modeling.py | 254 | 7434 | """
=============================
Species distribution modeling
=============================
Modeling species' geographic distributions is an important
problem in conservation biology. In this example we
model the geographic distribution of two south american
mammals given past observations and 14 environmental
varia... | bsd-3-clause |
jia-kai/hearv | riesz/libriesz/analyze.py | 1 | 13254 | # -*- coding: utf-8 -*-
# $File: analyze.py
# $Date: Wed Jan 07 01:30:31 2015 +0800
# $Author: jiakai <jia.kai66@gmail.com>
from .config import floatX
from .utils import plot_val_with_fft, get_env_config
import matplotlib.pyplot as plt
import numpy as np
from abc import ABCMeta, abstractmethod
import logging
logger ... | unlicense |
reuk/wayverb | scripts/python/iterative_tetrahedral.py | 2 | 4819 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from numpy import sqrt
import operator
BASIC_CUBE = [(0, 0, 0), # 0
(0.5, 0, 0.5), # 1
(0.25, 0.25, 0.25), # 2
(0.75, 0.25, 0.75), # 3
(0, 0.5, 0.5), ... | gpl-2.0 |
dongjoon-hyun/spark | python/run-tests.py | 15 | 13614 | #!/usr/bin/env python3
#
# 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 "L... | apache-2.0 |
dimkarakostas/rupture | etc/theory/experiments/rupture_performance/plot.py | 4 | 2506 | import matplotlib.pyplot as plt
from collections import OrderedDict
'''
# Divide&conquer adaptive (keeping only the last 2 known chars) on ruptureit, try 1
seconds = OrderedDict([
('aes128cbc', [0, 11, 8, 5, 6, 6, 11]), # 47
('aes128gcm', [0, 6, 8, 6, 5, 6, 7]), # 38
('aes256cbc', [0, 7, 7, 5, 6, 6, 9]),... | mit |
expectocode/telegram-analysis | venn_userlist.py | 2 | 3908 | #!/usr/bin/env python3
"""
A program to plot the overlap of chats
"""
import argparse
from json import loads
import matplotlib.pyplot as plt
from matplotlib_venn import venn2, venn3
def main():
"""
main function
"""
parser = argparse.ArgumentParser(
description="Visualise the overlap betwee... | mit |
namvo88/Thesis-Quadrotor-Code | sw/tools/calibration/calibrate_gyro.py | 87 | 4686 | #! /usr/bin/env python
# Copyright (C) 2010 Antoine Drouin
#
# This file is part of Paparazzi.
#
# Paparazzi 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, or (at your option)
# any later ... | gpl-2.0 |
tonyqtian/quora-simi | test/scoreAvg.py | 1 | 1458 | '''
Created on Jun 6, 2017
@author: tonyq
'''
from pandas.io.parsers import read_csv
from pandas.core.frame import DataFrame
from time import strftime
timestr = strftime("%Y%m%d-%H%M%S-")
base = '../output/candi/'
file_list = '20170604-165432-XGB_leaky.clean.csv,' + \
'20170605-112337-XGB_le... | mit |
UWSEDS-aut17/uwseds-group-city-fynders | cityfynders/UI_setup.py | 1 | 7055 | import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
def layout_setup(pairs):
"""
This function returns a layout of the user interface
pairs: pairs is a two_dimensional list. The first is the columns from pandas data frame,
the second is the rel... | mit |
JudoWill/ResearchNotebooks | HIVSystemsBio.py | 1 | 1296 | # -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
from pandas import *
import os, os.path
import csv
os.chdir('/home/will/HIVSystemsBio/')
# <codecell>
cocaine_genes = read_csv('CocaineGeneList.csv')
hiv_genes = read_csv('HIVGeneList.csv', sep = '\t')
biomart_conv = read_csv('mart_export.txt', sep = ... | mit |
PatrickOReilly/scikit-learn | benchmarks/bench_sparsify.py | 323 | 3372 | """
Benchmark SGD prediction time with dense/sparse coefficients.
Invoke with
-----------
$ kernprof.py -l sparsity_benchmark.py
$ python -m line_profiler sparsity_benchmark.py.lprof
Typical output
--------------
input data sparsity: 0.050000
true coef sparsity: 0.000100
test data sparsity: 0.027400
model sparsity:... | bsd-3-clause |
sarahgrogan/scikit-learn | sklearn/datasets/tests/test_20news.py | 280 | 3045 | """Test the 20news downloader, if the data is available."""
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import SkipTest
from sklearn import datasets
def test_20news():
try:
data = dat... | bsd-3-clause |
cython-testbed/pandas | pandas/tests/arrays/categorical/test_operators.py | 4 | 11785 | # -*- coding: utf-8 -*-
import pytest
import pandas as pd
import numpy as np
import pandas.util.testing as tm
from pandas import Categorical, Series, DataFrame, date_range
from pandas.tests.arrays.categorical.common import TestCategorical
class TestCategoricalOpsWithFactor(TestCategorical):
def test_categorie... | bsd-3-clause |
madgik/exareme | Exareme-Docker/src/mip-algorithms/CART/step/3/local.py | 1 | 2268 | from __future__ import division
from __future__ import print_function
import sys
from os import path
from argparse import ArgumentParser
import pandas as pd
import numpy as np
sys.path.append(path.dirname(path.dirname(path.dirname(path.dirname(path.abspath(__file__))))) + '/utils/')
sys.path.append(path.dir... | mit |
mhue/scikit-learn | examples/decomposition/plot_sparse_coding.py | 247 | 3846 | """
===========================================
Sparse coding with a precomputed dictionary
===========================================
Transform a signal as a sparse combination of Ricker wavelets. This example
visually compares different sparse coding methods using the
:class:`sklearn.decomposition.SparseCoder` esti... | bsd-3-clause |
P1R/cinves | TrabajoFinal/PortadoraVariableModuladaFija/AM/TvsFrqRate-AM.py | 1 | 1245 | import numpy as np
import matplotlib.pyplot as plt
'''
La Frecuencia Base es de 50 Hz y las variaciones en frecuencia de rate de 30 a 200
este ejemplo es con un pawn de 50% en AM.
para este experimento los valores son:
tiempo de medicion: 2 minutos
voltaje de generador: 0.3 volts
tubo de prueba: cobre 350 cm
SIN... | apache-2.0 |
Vvucinic/Wander | venv_2_7/lib/python2.7/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... | artistic-2.0 |
legacysurvey/pipeline | py/legacyanalysis/check-fracflux.py | 1 | 3198 | import matplotlib
matplotlib.use('Agg')
import pylab as plt
import numpy as np
from tractor import *
from tractor.galaxy import *
from astrometry.util.util import *
from astrometry.util.fits import *
from astrometry.util.plotutils import *
from legacypipe.runbrick import _compute_source_metrics
if __name__ == '__mai... | gpl-2.0 |
DIRACGrid/DIRAC | src/DIRAC/Core/Utilities/Graphs/GraphData.py | 2 | 17470 | """ GraphData encapsulates input data for the DIRAC Graphs plots
The DIRAC Graphs package is derived from the GraphTool plotting package of the
CMS/Phedex Project by ... <to be added>
"""
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
__RCSID__ = ... | gpl-3.0 |
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