repo_name stringlengths 6 67 | path stringlengths 5 185 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 1.02k 962k | license stringclasses 15
values |
|---|---|---|---|---|---|
huzq/scikit-learn | examples/tree/plot_tree_regression_multioutput.py | 67 | 1990 | """
===================================================================
Multi-output Decision Tree Regression
===================================================================
An example to illustrate multi-output regression with decision tree.
The :ref:`decision trees <tree>`
is used to predict simultaneously the ... | bsd-3-clause |
jmschrei/scikit-learn | sklearn/linear_model/ridge.py | 1 | 46693 | """
Ridge regression
"""
# Author: Mathieu Blondel <mathieu@mblondel.org>
# Reuben Fletcher-Costin <reuben.fletchercostin@gmail.com>
# Fabian Pedregosa <fabian@fseoane.net>
# Michael Eickenberg <michael.eickenberg@nsup.org>
# License: BSD 3 clause
from abc import ABCMeta, abstractmethod
impor... | bsd-3-clause |
siddharthteotia/arrow | python/pyarrow/tests/test_convert_pandas.py | 1 | 57443 | # -*- coding: utf-8 -*-
# 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
# "... | apache-2.0 |
lmallin/coverage_test | python_venv/lib/python2.7/site-packages/pandas/tests/sparse/test_pivot.py | 21 | 2390 | import numpy as np
import pandas as pd
import pandas.util.testing as tm
class TestPivotTable(object):
def setup_method(self, method):
self.dense = pd.DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
'foo', 'bar', 'foo', 'foo'],
'B': ... | mit |
e-q/scipy | scipy/spatial/_geometric_slerp.py | 20 | 7668 | from __future__ import division, print_function, absolute_import
__all__ = ['geometric_slerp']
import warnings
import numpy as np
from scipy.spatial.distance import euclidean
def _geometric_slerp(start, end, t):
# create an orthogonal basis using QR decomposition
basis = np.vstack([start, end])
Q, R = ... | bsd-3-clause |
jreback/pandas | pandas/tests/arrays/boolean/test_function.py | 1 | 3536 | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"ufunc", [np.add, np.logical_or, np.logical_and, np.logical_xor]
)
def test_ufuncs_binary(ufunc):
# two BooleanArrays
a = pd.array([True, False, None], dtype="boolean")
result = ufunc(a, a)
... | bsd-3-clause |
kbrannan/PyHSPF | src/pyhspf/forecasting/extract_timeseries.py | 2 | 7323 | #!/usr/bin/env python
#
# extract_NRCM.py
# David J. Lampert
#
# extracts the grid point for a watershed from the preprocessed NRCM data
import os, shutil, pickle, datetime, numpy
from multiprocessing import Pool, cpu_count
from matplotlib import pyplot, path, patches
from shapefile import Reader
def ins... | bsd-3-clause |
SiccarPoint/landlab | setup.py | 1 | 3672 | #! /usr/bin/env python
#from ez_setup import use_setuptools
#use_setuptools()
from setuptools import setup, find_packages, Extension
from setuptools.command.install import install
from setuptools.command.develop import develop
from distutils.extension import Extension
import sys
ext_modules = [
Extension('land... | mit |
theilmbh/klusta-pipeline | klusta_pipeline/utils.py | 1 | 7720 | import os
import glob
import itertools
import numpy as np
import h5py as h5
from scipy import interpolate
from random import sample
from klusta_pipeline import MAX_CHANS
import datetime as dt
from sklearn.linear_model import LinearRegression
def validate_merge(import_list,omit):
mat_data = []
chans = ['Port_%i... | bsd-3-clause |
Jimmy-Morzaria/scikit-learn | sklearn/utils/fixes.py | 11 | 12057 | """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.
"""
# Authors: Emmanuelle Gouillart <emmanuelle.gouillart@normalesup.org>
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# ... | bsd-3-clause |
brainstorm/bcbio-nextgen | bcbio/bam/coverage.py | 3 | 6315 | """
calculate coverage across a list of regions
"""
import os
import six
import pandas as pd
import pybedtools
from bcbio import utils
from bcbio.utils import rbind, file_exists
from bcbio.provenance import do
from bcbio.distributed.transaction import file_transaction
import bcbio.pipeline.datadict as dd
from bcbio.p... | mit |
ammarkhann/FinalSeniorCode | lib/python2.7/site-packages/pandas/tests/indexes/timedeltas/test_setops.py | 15 | 2556 | import numpy as np
import pandas as pd
import pandas.util.testing as tm
from pandas import TimedeltaIndex, timedelta_range, Int64Index
class TestTimedeltaIndex(object):
_multiprocess_can_split_ = True
def test_union(self):
i1 = timedelta_range('1day', periods=5)
i2 = timedelta_range('3day',... | mit |
thetomcraig/redwood | examples/clown/client.py | 1 | 14889 | #!/usr/bin/env python
""""
Because this code had few to no comments, I have commented
out and added only lines from the Ss pricing client.py file
to get everything running. I will attempt to do some superficial
commenting, but for a more comprehensively c=docuumented example,
look to Ss pricing - that is small e... | isc |
adamgreenhall/scikit-learn | sklearn/covariance/tests/test_graph_lasso.py | 272 | 5245 | """ Test the graph_lasso module.
"""
import sys
import numpy as np
from scipy import linalg
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_array_less
from sklearn.covariance import (graph_lasso, GraphLasso, GraphLassoCV,
empirical_... | bsd-3-clause |
larsmans/scikit-learn | sklearn/neighbors/tests/test_ball_tree.py | 30 | 9727 | import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.neighbors.ball_tree import (BallTree, NeighborsHeap,
simultaneous_sort, kernel_norm,
nodeheap_sort, DTYPE, ITYPE)
from sklearn.neighbors.dist_metrics impo... | bsd-3-clause |
ericpre/hyperspy | hyperspy/drawing/widget.py | 1 | 37678 | # -*- coding: utf-8 -*-
# Copyright 2007-2021 The HyperSpy developers
#
# This file is part of HyperSpy.
#
# HyperSpy 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 |
blancha/abcngspipelines | utils/ensemblbedgraphtoucscbedgraph.py | 1 | 1481 | #!/usr/bin/env python3
# Version 1.0
# Author Alexis Blanchet-Cohen
# Date: 12/04/2014
import argparse
import os
import pandas
import util
config = util.readConfigurationFiles()
parser = argparse.ArgumentParser(description='Converts bedgraph files in Ensembl format to UCSC format.')
parser.add_argument("-e", "--ens... | gpl-3.0 |
samueljackson92/major-project | src/mia/plotting.py | 1 | 14059 | """
Various plotting utility functions.
"""
import logging
import os.path
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import pandas as pd
import seaborn as sns
from mpl_toolkits.mplot3d import Axes3D
from skimage import io, transform
from mia.utils import transform_2d
logger = logg... | mit |
AshishBora/csgm | src/compressed_sensing.py | 1 | 8437 | """Compressed sensing main script"""
# pylint: disable=C0301,C0103,C0111
from __future__ import division
import os
from argparse import ArgumentParser
import numpy as np
import utils
def main(hparams):
# Set up some stuff accoring to hparams
hparams.n_input = np.prod(hparams.image_shape)
utils.set_num_m... | mit |
wlamond/scikit-learn | benchmarks/bench_plot_omp_lars.py | 72 | 4514 | """Benchmarks of orthogonal matching pursuit (:ref:`OMP`) versus least angle
regression (:ref:`least_angle_regression`)
The input data is mostly low rank but is a fat infinite tail.
"""
from __future__ import print_function
import gc
import sys
from time import time
import six
import numpy as np
from sklearn.linea... | bsd-3-clause |
GGiecold/Keras_playground | src/multiclass_classification.py | 1 | 3573 | #!/usr/bin/env python
from __future__ import print_function
from time import sleep
from keras import layers, models
from keras.optimizers import RMSprop
from keras.utils import to_categorical
import matplotlib.pyplot as plt
import numpy as np
__author__ = 'Gregory Giecold'
__copyright__ = 'Copyright 2017-2022 Gre... | mit |
ortylp/scipy | scipy/stats/_multivariate.py | 35 | 69253 | #
# Author: Joris Vankerschaver 2013
#
from __future__ import division, print_function, absolute_import
import numpy as np
import scipy.linalg
from scipy.misc import doccer
from scipy.special import gammaln, psi, multigammaln
from scipy._lib._util import check_random_state
__all__ = ['multivariate_normal', 'dirichle... | bsd-3-clause |
abhishekkrthakur/scikit-learn | sklearn/tests/test_grid_search.py | 9 | 28430 | """
Testing for grid search module (sklearn.grid_search)
"""
from collections import Iterable, Sized
from sklearn.externals.six.moves import cStringIO as StringIO
from sklearn.externals.six.moves import xrange
from itertools import chain, product
import pickle
import sys
import numpy as np
import scipy.sparse as sp
... | bsd-3-clause |
hfegetude/EjerciciosMicroondas | tema3/ej6/smithpy.py | 1 | 6300 | import numpy as np
import matplotlib.pyplot as plt
def cart2pol(x, y):
theta = np.arctan2(y, x)
rho = np.hypot(x, y)
return theta, rho
def pol2cart(theta, rho):
x = rho * np.cos(theta)
y = rho * np.sin(theta)
return x, y
def add_radius(x, y, r ):
ang, mod = cart2pol(x, y)
return pol2c... | gpl-3.0 |
timothy1191xa/project-epsilon-1 | code/utils/scripts/noise-pca_script.py | 3 | 13899 | """
This script is used to design the design matrix for our linear regression.
We explore the influence of linear and quadratic drifts on the model
performance.
Script for the raw data.
Run with:
python noise-pca_script.py
from this directory
"""
from __future__ import print_function, division
import sys, os,... | bsd-3-clause |
rabernat/xray | xarray/core/dataset.py | 1 | 129317 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
from collections import Mapping, defaultdict
from distutils.version import LooseVersion
from numbers import Number
import warnings
import sys
import numpy as np
import pandas as pd
from . imp... | apache-2.0 |
genehughes/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 |
scikit-optimize/scikit-optimize.github.io | 0.8/_downloads/fafa416932f350631f99d023396799bd/sklearn-gridsearchcv-replacement.py | 1 | 7094 | """
==========================================
Scikit-learn hyperparameter search wrapper
==========================================
Iaroslav Shcherbatyi, Tim Head and Gilles Louppe. June 2017.
Reformatted by Holger Nahrstaedt 2020
.. currentmodule:: skopt
Introduction
============
This example assumes basic famili... | bsd-3-clause |
dancingdan/tensorflow | tensorflow/contrib/metrics/python/kernel_tests/histogram_ops_test.py | 24 | 9587 | # 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 |
dgwakeman/mne-python | examples/inverse/plot_lcmv_beamformer.py | 18 | 2801 | """
======================================
Compute LCMV beamformer on evoked data
======================================
Compute LCMV beamformer solutions on evoked dataset for three different choices
of source orientation and stores the solutions in stc files for visualisation.
"""
# Author: Alexandre Gramfort <alex... | bsd-3-clause |
NagabhushanS/DataMining | GithubStarringDataset/classifier.py | 1 | 1394 | from sklearn import tree
from sklearn import svm
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction import DictVectorizer
from sklearn import preprocessing
import numpy as np
from numpy import genfromtxt, savetxt
import csv
def tokenize(dataset):
data = []
for x in dataset:
sample ... | gpl-2.0 |
gotomypc/scikit-learn | sklearn/utils/tests/test_multiclass.py | 128 | 12853 |
from __future__ import division
import numpy as np
import scipy.sparse as sp
from itertools import product
from sklearn.externals.six.moves import xrange
from sklearn.externals.six import iteritems
from scipy.sparse import issparse
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sp... | bsd-3-clause |
nvoron23/scikit-learn | examples/model_selection/grid_search_text_feature_extraction.py | 253 | 4158 | """
==========================================================
Sample pipeline for text feature extraction and evaluation
==========================================================
The dataset used in this example is the 20 newsgroups dataset which will be
automatically downloaded and then cached and reused for the do... | bsd-3-clause |
CDSFinance/zipline | tests/test_algorithm.py | 3 | 60805 | #
# 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 |
NixaSoftware/CVis | venv/lib/python2.7/site-packages/pandas/tests/io/parser/mangle_dupes.py | 10 | 3591 | # -*- coding: utf-8 -*-
"""
Tests that duplicate columns are handled appropriately when parsed by the
CSV engine. In general, the expected result is that they are either thoroughly
de-duplicated (if mangling requested) or ignored otherwise.
"""
from pandas.compat import StringIO
from pandas import DataFrame
import p... | apache-2.0 |
lancezlin/ml_template_py | lib/python2.7/site-packages/sklearn/linear_model/tests/test_base.py | 83 | 15089 | # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from scipy import linalg
from itertools import product
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils... | mit |
colincsl/TemporalConvolutionalNetworks | code/metrics.py | 1 | 15302 | import numpy as np
import scipy
from numba import jit, int64, boolean
import utils
import sklearn.metrics as sm
from functools import partial
from collections import OrderedDict
class ComputeMetrics:
metric_types = ["accuracy", "edit_score", "overlap_f1"]
# metric_types = ["macro_accuracy", "acc_per_class"]... | mit |
pelikanchik/edx-platform | docs/en_us/developers/source/conf.py | 2 | 6591 | # -*- coding: utf-8 -*-
#pylint: disable=C0103
#pylint: disable=W0622
#pylint: disable=W0212
#pylint: disable=W0613
import sys, os
from path import path
on_rtd = os.environ.get('READTHEDOCS', None) == 'True'
sys.path.append('../../../../')
from docs.shared.conf import *
# Add any paths that contain templates here... | agpl-3.0 |
ch3ll0v3k/scikit-learn | sklearn/ensemble/weight_boosting.py | 97 | 40773 | """Weight Boosting
This module contains weight boosting estimators for both classification and
regression.
The module structure is the following:
- The ``BaseWeightBoosting`` base class implements a common ``fit`` method
for all the estimators in the module. Regression and classification
only differ from each ot... | bsd-3-clause |
stormsson/procedural_city_generation_wrapper | vendor/josauder/procedural_city_generation/additional_stuff/pickletools.py | 2 | 2373 | def save_vertexlist(vertex_list, name="output", savefig=0):
print("Output is being saved.")
import os
path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
import pickle
try:
with open(path+"/temp/"+name, "wb") as f:
import sys
if sys.version[0] == "2":... | mpl-2.0 |
arabenjamin/scikit-learn | sklearn/tests/test_kernel_approximation.py | 244 | 7588 | import numpy as np
from scipy.sparse import csr_matrix
from sklearn.utils.testing import assert_array_equal, assert_equal, assert_true
from sklearn.utils.testing import assert_not_equal
from sklearn.utils.testing import assert_array_almost_equal, assert_raises
from sklearn.utils.testing import assert_less_equal
from ... | bsd-3-clause |
hugobowne/scikit-learn | examples/missing_values.py | 71 | 3055 | """
======================================================
Imputing missing values before building an estimator
======================================================
This example shows that imputing the missing values can give better results
than discarding the samples containing any missing value.
Imputing does not ... | bsd-3-clause |
tanayz/Kaggle | HB_ML_Challenge/test_xgboost.py | 1 | 4623 | import csv
import sys
import numpy as np
import scipy as sp
import xgboost as xgb
import sklearn.cross_validation as cv
def AMS(s, b):
'''
Approximate median significance:
s = true positive rate
b = false positive rate
'''
assert s >= 0
assert b >= 0
bReg = 10.
return np.sq... | apache-2.0 |
kdebrab/pandas | pandas/io/sas/sasreader.py | 14 | 2558 | """
Read SAS sas7bdat or xport files.
"""
from pandas import compat
from pandas.io.common import _stringify_path
def read_sas(filepath_or_buffer, format=None, index=None, encoding=None,
chunksize=None, iterator=False):
"""
Read SAS files stored as either XPORT or SAS7BDAT format files.
Param... | bsd-3-clause |
liangz0707/scikit-learn | examples/ensemble/plot_gradient_boosting_oob.py | 230 | 4762 | """
======================================
Gradient Boosting Out-of-Bag estimates
======================================
Out-of-bag (OOB) estimates can be a useful heuristic to estimate
the "optimal" number of boosting iterations.
OOB estimates are almost identical to cross-validation estimates but
they can be compute... | bsd-3-clause |
Eric89GXL/mne-python | tutorials/stats-sensor-space/plot_stats_cluster_erp.py | 8 | 5793 | """
===========================================================================
Visualising statistical significance thresholds on EEG data
===========================================================================
MNE-Python provides a range of tools for statistical hypothesis testing
and the visualisation of the re... | bsd-3-clause |
endolith/numpy | doc/source/reference/random/performance.py | 14 | 2599 | from collections import OrderedDict
from timeit import repeat
import pandas as pd
import numpy as np
from numpy.random import MT19937, PCG64, Philox, SFC64
PRNGS = [MT19937, PCG64, Philox, SFC64]
funcs = OrderedDict()
integers = 'integers(0, 2**{bits},size=1000000, dtype="uint{bits}")'
funcs['32-bit Unsigned Ints']... | bsd-3-clause |
bdh1011/wau | venv/lib/python2.7/site-packages/pandas/tseries/plotting.py | 1 | 7368 | """
Period formatters and locators adapted from scikits.timeseries by
Pierre GF Gerard-Marchant & Matt Knox
"""
#!!! TODO: Use the fact that axis can have units to simplify the process
from matplotlib import pylab
from pandas.tseries.period import Period
from pandas.tseries.offsets import DateOffset
import pandas.tser... | mit |
rtmilbourne/augur-core | tests/consensus/runtests.py | 4 | 20659 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Augur consensus tests.
To run consensus, call the Serpent functions in this order:
interpolate
center
tokenize
covariance
loop max_components:
blank
loop max_iterations:
loadings
latent
deflate
score
reputation_delta
weighted_delta
select_sc... | gpl-3.0 |
Djabbz/scikit-learn | sklearn/decomposition/base.py | 313 | 5647 | """Principal Component Analysis Base Classes"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Olivier Grisel <olivier.grisel@ensta.org>
# Mathieu Blondel <mathieu@mblondel.org>
# Denis A. Engemann <d.engemann@fz-juelich.de>
# Kyle Kastner <kastnerkyle@gmail.com>
#
# Licen... | bsd-3-clause |
lokeshpancharia/BuildingMachineLearningSystemsWithPython | ch02/chapter.py | 17 | 4700 | # This code is supporting material for the book
# Building Machine Learning Systems with Python
# by Willi Richert and Luis Pedro Coelho
# published by PACKT Publishing
#
# It is made available under the MIT License
from matplotlib import pyplot as plt
import numpy as np
# We load the data with load_iris from sklear... | mit |
chenyyx/scikit-learn-doc-zh | examples/en/cluster/plot_dbscan.py | 39 | 2534 | # -*- coding: utf-8 -*-
"""
===================================
Demo of DBSCAN clustering algorithm
===================================
Finds core samples of high density and expands clusters from them.
"""
print(__doc__)
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn... | gpl-3.0 |
yavalvas/yav_com | build/matplotlib/setupext.py | 1 | 66954 | from __future__ import print_function, absolute_import
from distutils import sysconfig
from distutils import version
from distutils.core import Extension
import glob
import io
import multiprocessing
import os
import re
import subprocess
import sys
import warnings
from textwrap import fill
PY3 = (sys.version_info[0] ... | mit |
Newmu/dcgan_code | svhn/svhn_semisup_analysis.py | 1 | 5842 | import sys
sys.path.append('..')
import os
import json
from time import time
import numpy as np
from tqdm import tqdm
from sklearn.externals import joblib
from sklearn import metrics
from sklearn.linear_model import LogisticRegression as LR
from sklearn.svm import LinearSVC as LSVC
import theano
import theano.tensor... | mit |
OpenSourcePolicyCenter/PolicyBrain | webapp/apps/btax/views.py | 2 | 17171 | import json
import traceback
import sys
import btax
import taxcalc
import datetime
from django.utils import timezone
import logging
from os import path
from urllib.parse import urlparse, parse_qs
from ipware.ip import get_real_ip
from django.core import serializers
from django.http import Http404, HttpResponse, JsonR... | mit |
mlperf/training_results_v0.6 | Intel/benchmarks/minigo/implementations/tensorflow/oneoffs/sharp_positions.py | 7 | 16295 | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | apache-2.0 |
HyperloopTeam/FullOpenMDAO | cantera-2.0.2/samples/python/reactors/reactor1_sim/reactor1.py | 1 | 1814 | """
Constant-pressure, adiabatic kinetics simulation.
"""
import sys
from Cantera import *
from Cantera.Reactor import *
from Cantera.Func import *
from Cantera import rxnpath
gri3 = GRI30()
gri3.set(T = 1001.0, P = OneAtm, X = 'H2:2,O2:1,N2:4')
r = Reactor(gri3)
env = Reservoir(Air())
# Define a wall betwee... | gpl-2.0 |
fw1121/pannenkoek | setup.py | 1 | 1884 | from setuptools import setup, find_packages
from setuptools.command.install import install
from codecs import open
from os import path
# Get the long description from the relevant file
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
long_descriptio... | mit |
hippke/TTV-TDV-exomoons | create_figures/kombiplot_systems_vii,viii,ix.py | 1 | 9521 | """n-body simulator to derive TDV+TTV diagrams of planet-moon configurations.
Credit for part of the source is given to
https://github.com/akuchling/50-examples/blob/master/gravity.rst
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License
"""
import numpy
import math
import matplotlib.pylab as plt... | mit |
lquirosd/TFM | ILA/code/process_results.py | 1 | 3727 | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from scipy import misc
import scipy.ndimage as ndi
import imgPage_float as imgPage
import sys, argparse #--- To handle console arguments
import matplotlib.patches as patches
import bbox
try:
import cPickle as pickle
except:
... | apache-2.0 |
kkozarev/mwacme | MS_Inspect_menu_version/Graph_Panel.py | 1 | 24139 | ###########################################################################
############################ Graph_Panel ##############################
###########################################################################
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import numpy as n... | gpl-2.0 |
chengsoonong/crowdastro | examples/active_crowd_example.py | 1 | 3000 | import logging
import os.path
import sys
import matplotlib.pyplot as plt
import numpy
import sklearn.cluster
import sklearn.datasets
sys.path.insert(1, os.path.join('..'))
import crowdastro.crowd.yan_sparse as yan_sparse
logging.captureWarnings(True)
# Generate some data.
n_annotators, n_dim, n_samples = 4, 2, 50
x... | mit |
JPFrancoia/scikit-learn | examples/gaussian_process/plot_gpr_noisy_targets.py | 64 | 3706 | """
=========================================================
Gaussian Processes regression: basic introductory example
=========================================================
A simple one-dimensional regression example computed in two different ways:
1. A noise-free case
2. A noisy case with known noise-level per ... | bsd-3-clause |
schets/scikit-learn | benchmarks/bench_plot_approximate_neighbors.py | 85 | 6377 | """
Benchmark for approximate nearest neighbor search using
locality sensitive hashing forest.
There are two types of benchmarks.
First, accuracy of LSHForest queries are measured for various
hyper-parameters and index sizes.
Second, speed up of LSHForest queries compared to brute force
method in exact nearest neigh... | bsd-3-clause |
jmargeta/scikit-learn | sklearn/tree/tests/test_tree.py | 3 | 20849 | """
Testing for the tree module (sklearn.tree).
"""
import numpy as np
from numpy.testing import assert_array_equal
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_almost_equal
from numpy.testing import assert_equal
from nose.tools import assert_raises
from sklearn import tree
fro... | bsd-3-clause |
RuwanT/merck | data_preprocessing.py | 1 | 2734 | """
convert the merck data-set suitable to be fead to the CNN
1) remove columns that does not appear in both training and test
2) normalize the activation to have zero mean and 1 std (z-score)
3) rescale the features to 0-1 by dividing each column by its training max or y = log(x+1)
"""
import pandas as pd
import nu... | mit |
RachitKansal/scikit-learn | examples/bicluster/plot_spectral_biclustering.py | 403 | 2011 | """
=============================================
A demo of the Spectral Biclustering algorithm
=============================================
This example demonstrates how to generate a checkerboard dataset and
bicluster it using the Spectral Biclustering algorithm.
The data is generated with the ``make_checkerboard`... | bsd-3-clause |
YihaoLu/pyfolio | pyfolio/pos.py | 1 | 5498 | #
# Copyright 2015 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 |
vrkrishn/FBHacks | app_referance.py | 1 | 6016 | from flask import Flask,render_template, request, session, g, redirect, url_for,abort
from flask_wtf import Form
from flask import send_file
from functools import wraps, update_wrapper
#from wtforms import StringField, SubmitField
#from wtforms.validators import Required
from codes.TweetAnalytics import TweetAnalytic... | mit |
nwjs/chromium.src | tools/perf/cli_tools/pinboard/pinboard.py | 1 | 15175 | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import filecmp
import json
import logging
from logging import handlers
import os
import posixpath
import shutil
import subprocess
from core.... | bsd-3-clause |
boland1992/SeisSuite | seissuite/spacing/pointshape.py | 6 | 2729 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 20 12:28:32 2015
@author: boland
"""
import sys
sys.path.append("/home/boland/Anaconda/lib/python2.7/site-packages")
import fiona
import shapefile
from shapely import geometry
import numpy as np
import matplotlib.pyplot as plt
import pyproj
import datetime
from matplotli... | gpl-3.0 |
Jonekee/chromium.src | chrome/test/data/nacl/gdb_rsp.py | 99 | 2431 | # Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# This file is based on gdb_rsp.py file from NaCl repository.
import re
import socket
import time
def RspChecksum(data):
checksum = 0
for char in ... | bsd-3-clause |
thuml/HashNet | caffe/python/detect.py | 36 | 5734 | #!/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... | mit |
Vishruit/DDP_models | code/anim_hist_options.py | 1 | 6754 | """
=================
Animated subplots
=================
This example uses subclassing, but there is no reason that the proper function
couldn't be set up and then use FuncAnimation. The code is long, but not
really complex. The length is due solely to the fact that there are a total of
9 lines that need to be change... | gpl-3.0 |
Windy-Ground/scikit-learn | sklearn/utils/tests/test_seq_dataset.py | 93 | 2471 | # Author: Tom Dupre la Tour <tom.dupre-la-tour@m4x.org>
#
# License: BSD 3 clause
import numpy as np
import scipy.sparse as sp
from sklearn.utils.seq_dataset import ArrayDataset, CSRDataset
from sklearn.datasets import load_iris
from numpy.testing import assert_array_equal
from nose.tools import assert_equal
iris =... | bsd-3-clause |
whn09/tensorflow | tensorflow/examples/learn/iris_custom_model.py | 50 | 2613 | # 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 |
jkarnows/scikit-learn | examples/cluster/plot_ward_structured_vs_unstructured.py | 320 | 3369 | """
===========================================================
Hierarchical clustering: structured vs unstructured ward
===========================================================
Example builds a swiss roll dataset and runs
hierarchical clustering on their position.
For more information, see :ref:`hierarchical_clus... | bsd-3-clause |
cdmbi/PCM | Method_SamplingData.py | 3 | 2034 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 18 12:18:21 2014
@author: Fujitsu
"""
def PCA(X, Expect_ext):
from sklearn.decomposition import PCA
pca = PCA(n_components=2)
Xtrans = pca.fit_transform(X)
labels = []
for Var in Xtrans:
if Var[0] >= 0 and Var[1] >= 0:
... | gpl-2.0 |
mataevs/persondetector | detection/roc.py | 1 | 5932 | __author__ = 'mataevs'
import classifier
from classifier import *
import detection_checker
import utils
import tester_hog
import cascade_tester
from sklearn.metrics import roc_curve, auc
import matplotlib.pyplot as plt
import numpy
import optical_flow
def get_images(c, img_path, scales, subwindow=None):
totalWind... | mit |
dmitryduev/pypride | setup.py | 1 | 2704 | #!/usr/bin/env python
"""
Created on Fri Aug 14 15:34:38 2015
@author: Dmitry A. Duev
"""
from __future__ import division, absolute_import
# compile fortran code using f2py
from numpy.distutils.core import Extension
import os
# fortran module to be compiled with f2py:
vintflib = Extension(name = 'vintflib',
... | gpl-2.0 |
IssamLaradji/scikit-learn | examples/covariance/plot_mahalanobis_distances.py | 348 | 6232 | r"""
================================================================
Robust covariance estimation and Mahalanobis distances relevance
================================================================
An example to show covariance estimation with the Mahalanobis
distances on Gaussian distributed data.
For Gaussian dis... | bsd-3-clause |
keflavich/agpy | doc/conf.py | 6 | 9638 | # -*- coding: utf-8 -*-
#
# agpy documentation build configuration file, created by
# sphinx-quickstart on Wed Dec 21 22:31:14 2011.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All co... | mit |
Data-Analysis-Team/Data-Analysis-Platform_V0.1 | Fault Diagnosis/app/main/views.py | 1 | 13926 | from flask import render_template,redirect,request,url_for,flash,session
from . import main
from flask_wtf import FlaskForm as Form
from .forms import NameForm,Get_Data_Submit,Samping_Submit,Missing_Process_Submit,Describe_Statistics_Submit,\
Pearson_cal_Submit,Hist_Graph,Selected_1,Selected_2,MultipleSelect,Neural... | apache-2.0 |
luamct/WebSci14 | features/color/basic_colors.py | 1 | 4278 | '''
Created on Aug 7, 2013
@author: luamct
'''
import numpy as np
from matplotlib.colors import ColorConverter
colormap = {'blue': '#0000DD', 'brown': '#842121', 'gray': '#808080',
'purple': '#800080', 'yellow': '#e5e500', 'pink': '#ff69b4',
'black': '#000000', 'orange': '#ffa500', 'green': '#00DD00',
... | gpl-3.0 |
anteverse/suono | poc.py | 1 | 2500 | """
Proof of concept of the wave detection
"""
from scipy.fftpack import fft
from scipy.signal import convolve
import numpy as np
import matplotlib.pyplot as plt
import math
def find_peaks(Y, sign='-', alpha=-0.1, threshold=2.0):
if sign == '+':
Y = -Y
# Get derivative
derivation_vector = [1, 0,... | mit |
ishanic/scikit-learn | examples/linear_model/plot_multi_task_lasso_support.py | 249 | 2211 | #!/usr/bin/env python
"""
=============================================
Joint feature selection with multi-task Lasso
=============================================
The multi-task lasso allows to fit multiple regression problems
jointly enforcing the selected features to be the same across
tasks. This example simulates... | bsd-3-clause |
aurix/lammps-induced-dipole-polarization-pair-style | python/examples/matplotlib_plot.py | 22 | 2270 | #!/usr/bin/env python -i
# preceding line should have path for Python on your machine
# matplotlib_plot.py
# Purpose: plot Temp of running LAMMPS simulation via matplotlib
# Syntax: plot.py in.lammps Nfreq Nsteps compute-ID
# in.lammps = LAMMPS input script
# Nfreq = plot data point every this many ... | gpl-2.0 |
jeffery-do/Vizdoombot | doom/lib/python3.5/site-packages/matplotlib/tests/test_labeled_data_unpacking.py | 7 | 17219 | from __future__ import (absolute_import, division, print_function)
from nose.tools import (assert_raises, assert_equal)
from nose.plugins.skip import SkipTest
try:
# 3.2+ versions
from nose.tools import assert_regex, assert_not_regex
except ImportError:
try:
# 2.7 versions
from nose.tools ... | mit |
kedaio/tushare | tushare/datayes/market.py | 17 | 15547 | # -*- coding:utf-8 -*-
"""
通联数据
Created on 2015/08/24
@author: Jimmy Liu
@group : waditu
@contact: jimmysoa@sina.cn
"""
from pandas.compat import StringIO
import pandas as pd
from tushare.util import vars as vs
from tushare.util.common import Client
from tushare.util import upass as up
class Market():
def _... | bsd-3-clause |
adpozuelo/Master | HPC/PRA/stats.py | 1 | 2456 | # Antonio Díaz Pozuelo - adpozuelo@uoc.edu
# HPC_PRA - Energy-Potential N-Body Problem (Lennard Jones Interaction Potential)
# Statistical study
# Python 3.6
import sys
import re
import numpy as np
import matplotlib.pyplot as plt
import csv
def readData(filename):
with open(filename) as csvfile:
... | gpl-3.0 |
EtienneCmb/brainpipe | brainpipe/system/dataframe.py | 1 | 4503 | import pandas as pd
from warnings import warn
import numpy as n
class pdTools(object):
"""Tools for pandas DataFrame
Syntax:
- To search if arg1 is in column1:
>>> keep = ('column1', arg1)
- AND condition for ar1 and arg2 in column1:
>>> keep = ('column1', [arg1, 2])
... | gpl-3.0 |
derkling/trappy | trappy/wa/results.py | 1 | 5153 | # Copyright 2015-2015 ARM Limited
#
# 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 w... | apache-2.0 |
ammarkhann/FinalSeniorCode | lib/python2.7/site-packages/IPython/testing/iptestcontroller.py | 14 | 18314 | # -*- coding: utf-8 -*-
"""IPython Test Process Controller
This module runs one or more subprocesses which will actually run the IPython
test suite.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import argparse
import ... | mit |
msrconsulting/atm-py | atmPy/for_removal/APS/APS.py | 6 | 2064 | # -*- coding: utf-8 -*-
"""
This module is out of date!
@author: htelg
"""
import pandas as pd
from atmPy.aerosols.size_distr import sizedistribution
from atmPy.for_removal.tools import diameter_binning
def load_PMEL_APS(fname):
na_values = [u'StartDateTime', u'Dp_1', u'Dp_2', u'Dp_3', u'Dp_4', u'Dp_5', u'Dp_6'... | mit |
hschovanec-usgs/magpy | magpy/gui/magpy_gui.py | 1 | 186304 | #!/usr/bin/env python
from __future__ import print_function
import wx
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
try: # Necessary for wx2.8.11.0
from wx.lib.pubsub import setu... | gpl-3.0 |
miaecle/deepchem | examples/muv/muv_sklearn.py | 6 | 1156 | """
Script that trains Sklearn multitask models on MUV dataset.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import os
import shutil
import numpy as np
import deepchem as dc
from deepchem.molnet import load_muv
from sklearn.ensemble import RandomFore... | mit |
subodhchhabra/pandashells | pandashells/bin/p_linspace.py | 3 | 1427 | #! /usr/bin/env python
# standard library imports
import sys # NOQA import sys to allow for mocking sys.argv in tests
import argparse
import textwrap
from pandashells.lib import module_checker_lib, arg_lib
module_checker_lib.check_for_modules(['pandas'])
from pandashells.lib import io_lib
import numpy as np
impor... | bsd-2-clause |
svaksha/COD | setup.py | 1 | 2336 | #!/usr/bin/env python3
###############################################################################
# Copyright © 2013, SVAKSHA (https://github.com/svaksha) AllRightsReserved.
# License: AGPLv3 License <http://www.gnu.org/licenses/agpl.html>
# All copies must retain this permission notice with the copyright notice.
... | mit |
robjstan/python-enzymegraph | example/enzymegraph-example.py | 1 | 6370 |
# coding: utf-8
# # python-enzymegraph
# A Python package for generating models of enzymes under the quasi-steady-state assumption (QSSA).
#
# ## Requirements
# Currently tested with only Python 3.4.
#
# Requires [sympy](https://github.com/sympy/sympy).
#
# ## Installation
# pip install git+git://github.com/robjs... | mit |
cosmonaut/chess_analog_daq | analog_daq.py | 1 | 16785 | import comedi as c
import os
import select
import struct
import numpy as np
import math
import collections
import itertools
#import matplotlib.animation as ma
from matplotlib.figure import Figure
#from matplotlib.backends.backend_gtk3cairo import FigureCanvasGTK3Cairo as FigureCanvas
from matplotlib.backends.backend... | mit |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.