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 |
|---|---|---|---|---|---|
dynamiq-md/spectral_density_discretization | spectral_density_discretization/spectral_density.py | 1 | 3594 | #!/usr/bin/env python
import math
import pandas as pd
def print5(one, two, three, four, five):
fivestr = "%.10f %.10f %.10f %.10f %.10f" % (one, two, three, four, five)
return fivestr
def print_column(v, N_max):
out_str = ""
if (N_max == 0):
out_str += "0.0"
for i in range(N_max / 5):
... | mit |
DailyActie/Surrogate-Model | 01-codes/scikit-learn-master/sklearn/manifold/tests/test_spectral_embedding.py | 1 | 11146 | import numpy as np
from nose.plugins.skip import SkipTest
from nose.tools import assert_equal
from nose.tools import assert_raises
from nose.tools import assert_true
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from scipy.linalg import eigh
from scipy.sparse import co... | mit |
JackKelly/neuralnilm_prototype | scripts/e234.py | 2 | 4812 | from __future__ import print_function, division
import matplotlib
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
from neuralnilm import Net, RealApplianceSource, BLSTMLayer, DimshuffleLayer
from lasagne.nonlinearities import sigmoid, rectify
from lasagne.objectives import crossentropy, mse... | mit |
samuel1208/scikit-learn | sklearn/feature_selection/rfe.py | 137 | 17066 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Vincent Michel <vincent.michel@inria.fr>
# Gilles Louppe <g.louppe@gmail.com>
#
# License: BSD 3 clause
"""Recursive feature elimination for feature ranking"""
import warnings
import numpy as np
from ..utils import check_X_y, safe_sqr
fro... | bsd-3-clause |
IssamLaradji/scikit-learn | sklearn/utils/tests/test_murmurhash.py | 261 | 2836 | # Author: Olivier Grisel <olivier.grisel@ensta.org>
#
# License: BSD 3 clause
import numpy as np
from sklearn.externals.six import b, u
from sklearn.utils.murmurhash import murmurhash3_32
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
from nose.tools import assert_equa... | bsd-3-clause |
louispotok/pandas | pandas/io/formats/latex.py | 3 | 9390 | # -*- coding: utf-8 -*-
"""
Module for formatting output data in Latex.
"""
from __future__ import print_function
from pandas.core.index import MultiIndex
from pandas import compat
from pandas.compat import range, map, zip, u
from pandas.io.formats.format import TableFormatter
import numpy as np
class LatexFormatte... | bsd-3-clause |
orzinal/test | nab/scorer.py | 3 | 15103 | # ----------------------------------------------------------------------
# Copyright (C) 2014-2015, 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 program is free software: you can redistribute it and/... | agpl-3.0 |
agartland/utils | corrplots.py | 1 | 31054 | import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
from scipy import polyfit, polyval, stats
import pandas as pd
from mytext import textTL, textTR
import statsmodels.api as sm
from patsy import dmatrices, ModelDesc, Term, LookupFactor
from copy import ... | mit |
trachelr/mne-python | examples/realtime/plot_compute_rt_average.py | 18 | 1790 | """
========================================================
Compute real-time evoked responses using moving averages
========================================================
This example demonstrates how to connect to an MNE Real-time server
using the RtClient and use it together with RtEpochs to compute
evoked respo... | bsd-3-clause |
dsquareindia/scikit-learn | sklearn/datasets/base.py | 13 | 29166 | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import os
import csv
import sys
import shutil
from os import environ... | bsd-3-clause |
BSchilperoort/BR-DTS-Processing | data_processing/dts_plot_example.py | 1 | 3395 | ##Imports
from datetime import datetime
from datetime import timedelta
from glob import glob
from time import time
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.image as mpimg
import numpy as np
import os
import sys
##!>Set working directory to correct folder (BR-DTS-Processing)
w... | mit |
zhenv5/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 |
lancezlin/ml_template_py | lib/python2.7/site-packages/pandas/util/testing.py | 7 | 92097 | from __future__ import division
# pylint: disable-msg=W0402
import re
import string
import sys
import tempfile
import warnings
import inspect
import os
import subprocess
import locale
import unittest
import traceback
from datetime import datetime
from functools import wraps, partial
from contextlib import contextmana... | mit |
jccaicedo/localization-agent | utils/libDetection.py | 1 | 8598 | import os,sys
import numpy as np
from abc import ABCMeta, abstractmethod
intersect = lambda x,y: [max(x[0],y[0]),max(x[1],y[1]),min(x[2],y[2]),min(x[3],y[3])]
area = lambda x: (x[2]-x[0]+1)*(x[3]-x[1]+1)
# Symmetric Jaccard coefficient
def IoU(b1,b2):
bi = intersect(b1,b2)
iw = bi[2] - bi[0] + 1
ih = bi[3] - b... | mit |
AdrieleD/gr-mac1 | python/qa_css_sync.py | 2 | 16786 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2015 Felix Wunsch, Communications Engineering Lab (CEL) / Karlsruhe Institute of Technology (KIT) <wunsch.felix@googlemail.com>.
#
# This is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publis... | gpl-3.0 |
jramcast/ml_weather | example2/example2.py | 1 | 6718 | """
Test 1
Calculate Error on training and validation sets manually.
Quick and dirty test to classify tweets talking about weather.
"""
import csv
import numpy as np
from random import shuffle
from sklearn.datasets import make_blobs
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection imp... | apache-2.0 |
dingocuster/scikit-learn | examples/cluster/plot_digits_linkage.py | 369 | 2959 | """
=============================================================================
Various Agglomerative Clustering on a 2D embedding of digits
=============================================================================
An illustration of various linkage option for agglomerative clustering on
a 2D embedding of the di... | bsd-3-clause |
StefReck/Km3-Autoencoder | scripts/plotting/autoencoder_3d_hist_multiple_epochs.py | 1 | 5019 | # -*- coding: utf-8 -*-
"""
Make 3d plots of some events and the autoencoder predictions for one autoencoder model
and multiple epochs.
"""
import matplotlib
matplotlib.use('Agg') #dont open plotting windows
from keras.models import load_model
import h5py
import numpy as np
import matplotlib.pyplot as plt
from matplot... | mit |
vitaly-krugl/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 |
18padx08/PPTex | PPTexEnv_x86_64/lib/python2.7/site-packages/matplotlib/tight_bbox.py | 22 | 2601 | """
This module is to support *bbox_inches* option in savefig command.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import warnings
from matplotlib.transforms import Bbox, TransformedBbox, Affine2D
def adjust_bbox(fig, bbox_inches, fixe... | mit |
google-research/google-research | concept_explanations/awa_helper.py | 1 | 10860 | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | apache-2.0 |
MohammedWasim/scikit-learn | sklearn/semi_supervised/tests/test_label_propagation.py | 307 | 1974 | """ test the label propagation module """
import nose
import numpy as np
from sklearn.semi_supervised import label_propagation
from numpy.testing import assert_array_almost_equal
from numpy.testing import assert_array_equal
ESTIMATORS = [
(label_propagation.LabelPropagation, {'kernel': 'rbf'}),
(label_propa... | bsd-3-clause |
jlegendary/scikit-learn | examples/ensemble/plot_bias_variance.py | 357 | 7324 | """
============================================================
Single estimator versus bagging: bias-variance decomposition
============================================================
This example illustrates and compares the bias-variance decomposition of the
expected mean squared error of a single estimator again... | bsd-3-clause |
napjon/krisk | krisk/tests/test_tooltip.py | 1 | 1145 | import pytest
import json
import pandas as pd
import krisk.plot as kk
DATA_DIR = 'krisk/tests/data'
def test_tooltip(gap_chart):
formatter = gap_chart.option['tooltip']['formatter']
true_formatter = json.load(open(DATA_DIR + '/tooltip.json', 'r'))['formatter']
assert formatter == true_formatter
def test... | bsd-3-clause |
huobaowangxi/scikit-learn | sklearn/neighbors/regression.py | 106 | 10572 | """Nearest Neighbor Regression"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck <L.J.Buitinck@uva.nl>
# Multi-output support by Arna... | bsd-3-clause |
ghorn/casadi | docs/examples/python/chain_qp.py | 3 | 3488 | #
# This file is part of CasADi.
#
# CasADi -- A symbolic framework for dynamic optimization.
# Copyright (C) 2010-2014 Joel Andersson, Joris Gillis, Moritz Diehl,
# K.U. Leuven. All rights reserved.
# Copyright (C) 2011-2014 Greg Horn
#
# CasADi is free software; you can... | lgpl-3.0 |
lilleswing/deepchem | deepchem/trans/tests/test_log_transform.py | 3 | 6317 | import os
import deepchem as dc
import pandas as pd
import numpy as np
def load_feat_multitask_data():
"""Load example with numerical features, tasks."""
current_dir = os.path.dirname(os.path.abspath(__file__))
features = ["feat0", "feat1", "feat2", "feat3", "feat4", "feat5"]
featurizer = dc.feat.UserDefinedF... | mit |
potash/scikit-learn | sklearn/metrics/cluster/tests/test_unsupervised.py | 66 | 5806 | import numpy as np
import scipy.sparse as sp
from scipy.sparse import csr_matrix
from sklearn import datasets
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from skl... | bsd-3-clause |
hodger/cyclus | tests/test_memback.py | 6 | 11123 | """Tests Python memory backend."""
from __future__ import print_function, unicode_literals
import nose
from nose.tools import assert_equal, assert_true, assert_is_instance, \
assert_in, assert_false, assert_not_in, assert_is, assert_is_not
from cyclus import memback
from cyclus import lib
from cyclus import types... | bsd-3-clause |
andersbll/texture_benchmarks | code/data/diku_scale_seq.py | 1 | 1851 | import os
import numpy as np
from scipy.misc import imread
from sklearn.cross_validation import StratifiedShuffleSplit
from .base import BaseDataset
_CLASS_NAMES = [
'kockums', 'dobelnsgatan', 'dobelnsgatan_small_house', 'shrub_rosjoparken', 'birch_tree_1_university_park', 'birch_tree_trunk_1',
]
_IMG_PREFIX_NOS... | mit |
bueler/p4pdes | c/ch5/plotTS.py | 1 | 4130 | #!/usr/bin/env python3
help =\
'''
Plot trajectory, or frames if solution has two spatial dimensions, generated by
running a PETSc TS program. Reads output from
-ts_monitor binary:TDATA -ts_monitor_solution binary:UDATA
Requires copies or sym-links to $PETSC_DIR/lib/petsc/bin/PetscBinaryIO.py and
$PETSC_DIR/lib/pe... | mit |
wzbozon/statsmodels | statsmodels/graphics/regressionplots.py | 20 | 39579 | '''Partial Regression plot and residual plots to find misspecification
Author: Josef Perktold
License: BSD-3
Created: 2011-01-23
update
2011-06-05 : start to convert example to usable functions
2011-10-27 : docstrings
'''
from statsmodels.compat.python import lrange, string_types, lzip, range
import numpy as np
imp... | bsd-3-clause |
TNT-Samuel/Coding-Projects | DNS Server/Source/Lib/site-packages/dask/tests/test_distributed.py | 4 | 5764 | import pytest
distributed = pytest.importorskip('distributed')
from functools import partial
import inspect
from operator import add
from tornado import gen
import dask
from dask import persist, delayed, compute
from dask.delayed import Delayed
from dask.utils import tmpdir
from distributed.client import wait, Client... | gpl-3.0 |
cycleuser/GeoPython | Experimental/PreTreat.py | 2 | 6940 | # coding:utf-8
import math
import sys
import os
import csv
import random
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.decomposition import PCA
from sklearn.neighbors import NearestNeighbors
import matplotlib
impo... | gpl-3.0 |
chenliu0831/QuantModeling | BackTester/portfolio.py | 1 | 8715 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# portfolio.py
import datetime
import numpy as np
import pandas as pd
import Queue
from math import floor
from event import FillEvent, OrderEvent
from performance import create_sharpe_ratio, create_drawdowns
class Portfolio(object):
"""
The Portfolio class handles... | mit |
musically-ut/statsmodels | statsmodels/tsa/statespace/tools.py | 19 | 12762 | """
Statespace Tools
Author: Chad Fulton
License: Simplified-BSD
"""
from __future__ import division, absolute_import, print_function
import numpy as np
from statsmodels.tools.data import _is_using_pandas
from . import _statespace
try:
from scipy.linalg.blas import find_best_blas_type
except ImportError: # prag... | bsd-3-clause |
dgasmith/SICM2-Software-Summer-School-2014 | Useful_Resources/Python_Scripts/extract_molpro_rks.py | 1 | 1073 | # This is in the public domain.
# Created by Daniel Smith 7/10/14
import glob
import pandas as pd
infiles = glob.glob('Data/*.out')
def read(infile):
"""Read 'infile' into a list where each element is a line of the file"""
return open(infile, 'r').readlines()
def find(data, string, position=False, dtype... | mit |
procoder317/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 |
hgrif/incubator-airflow | airflow/www/views.py | 2 | 97479 | # -*- coding: utf-8 -*-
#
# 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, software
... | apache-2.0 |
ahad-s/getting-rich-with-rnn-nlp-stocks | skynetNLP.py | 1 | 16746 | import numpy as np
import pandas as pd
import random
from string import translate, punctuation
from nltk.data import load
from nltk.corpus import stopwords
from nltk import word_tokenize
from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
from mindController impor... | gpl-3.0 |
BovineJoni/StylometricClustering | cluster_util.py | 1 | 16503 | # -*- coding: utf-8 -*-
# StylometricClustering, Copyright 2014 Daniel Schneider.
# schneider.dnl(at)gmail.com
# This program 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, ... | gpl-3.0 |
gclenaghan/scikit-learn | examples/classification/plot_digits_classification.py | 289 | 2397 | """
================================
Recognizing hand-written digits
================================
An example showing how the scikit-learn can be used to recognize images of
hand-written digits.
This example is commented in the
:ref:`tutorial section of the user manual <introduction>`.
"""
print(__doc__)
# Autho... | bsd-3-clause |
mikolajsacha/tweetsclassification | src/features/sentence_embeddings/isentence_embedding.py | 1 | 2193 | """
Contains basic interface (abstract base class) for sentence embeddings.
"""
from abc import ABCMeta, abstractmethod
from sklearn.decomposition import PCA
class ISentenceEmbedding(object):
"""
Abstract base class for sentece embeddings.
Sentence embedding creates vectors representing sentences (word li... | mit |
q1ang/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 |
VU-Cog-Sci/PRF_experiment | plot_staircases.py | 1 | 8541 |
from matplotlib import pyplot as pl
import numpy as np
import pickle
import glob
import seaborn as sn
from IPython import embed as shell
def plot_staircases(initials,run_nr):
for eccen_bin in np.arange(3):
exec("color_staircase_%d=[]"%eccen_bin); exec("speed_staircase_%d = []"%eccen_bin); exec("fix_staircase_... | mit |
jatraug/Dataclass | Module6/assignment6.py | 8 | 2431 | import pandas as pd
import time
# Grab the DLA HAR dataset from:
# http://groupware.les.inf.puc-rio.br/har
# http://groupware.les.inf.puc-rio.br/static/har/dataset-har-PUC-Rio-ugulino.zip
#
# TODO: Load up the dataset into dataframe 'X'
#
# .. your code here ..
#
# TODO: Encode the gender column, 0 as male, 1 as ... | mit |
johnhw/summerschool2016 | unsupervised_image_learning/som.py | 1 | 7256 | #!/usr/bin/env python
# -----------------------------------------------------------------------------
# Self-organizing map
# Copyright (C) 2011 Nicolas P. Rougier
#
# Distributed under the terms of the BSD License.
# -----------------------------------------------------------------------------
import numpy as np
impo... | mit |
BitTiger-MP/DS502-AI-Engineer | DS502-1702/Jason_course/Week4_Codelab2/class1_logistic_regression.py | 1 | 4772 | # coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets, linear_model
# 绘图函数
def plot_line(x, y, theta=None, regressor=None):
# Plot outputs
x_min, x_max = x[:, 0].min() - .5, x[:, 0].max() + .5
y_min, y_max = x[:, 1].min() - .5, x[:, 1].max() + .5
xx, yy = np.me... | apache-2.0 |
dgary50/eovsa | flare_monitor.py | 1 | 21039 | '''
Module for plotting the median of the front-end RF detector voltages
from the stateframe SQL database, as a crude flare monitor'''
#
# History:
# 2014-Dec-20 DG
# First written.
# 2014-Dec-21 DG
# Added annotation and information about source.
# 2014-Dec-22 DG
# Cleaned up er... | gpl-2.0 |
zqhuang/COOP | mapio/pyscripts/sharex.py | 2 | 2072 | import numpy as np
from matplotlib import use
use('pdf')
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib.colors import LogNorm
import pylab as m
cdict = {
'red' : ((0., 1., 1.), (0.02, 0.56, 0.56), (0.25, 0., 0.), (0.45, 0.1, 0.1), (0.5, 0., 0.) , (0.6, 0.7, 0.7), (0.7, 1., 1.), (0.8, 1., 1.... | gpl-3.0 |
bundgus/python-playground | matplotlib-playground/examples/event_handling/resample.py | 1 | 1565 | import numpy as np
import matplotlib.pyplot as plt
from scikits.audiolab import wavread
# A class that will downsample the data and recompute when zoomed.
class DataDisplayDownsampler(object):
def __init__(self, xdata, ydata):
self.origYData = ydata
self.origXData = xdata
self.numpts = 300... | mit |
PatrickOReilly/scikit-learn | sklearn/neighbors/graph.py | 22 | 6646 | """Nearest Neighbors graph functions"""
# Author: Jake Vanderplas <vanderplas@astro.washington.edu>
#
# License: BSD 3 clause (C) INRIA, University of Amsterdam
from .base import KNeighborsMixin, RadiusNeighborsMixin
from .unsupervised import NearestNeighbors
def _check_params(X, metric, p, metric_params):
"""C... | bsd-3-clause |
apache/spark | python/pyspark/pandas/typedef/typehints.py | 11 | 18793 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | apache-2.0 |
alliemacleay/MachineLearning_CS6140 | utils/Perceptron.py | 1 | 4177 | __author__ = 'Allison MacLeay'
import numpy as np
import CS6140_A_MacLeay.utils.Stats as mystats
from CS6140_A_MacLeay.utils import check_binary
from CS6140_A_MacLeay.utils.Stats import get_error
import pandas as pd
class Perceptron:
def __init__(self, data, predict_col, learning_rate, max_iterations=1000):
... | mit |
ChristosChristofidis/bokeh | bokeh/crossfilter/models.py | 40 | 30635 | from __future__ import absolute_import
import logging
import six
import pandas as pd
import numpy as np
from ..plotting import curdoc
from ..models import ColumnDataSource, GridPlot, Panel, Tabs, Range
from ..models.widgets import Select, MultiSelect, InputWidget
# crossfilter plotting utilities
from .plotting impo... | bsd-3-clause |
jlurie/decatur | decatur/utils.py | 1 | 6433 | #!/usr/bin/env python
# encoding: utf-8
from __future__ import print_function, division, absolute_import
import os
import warnings
import h5py
import numpy as np
import pandas as pd
from .config import data_dir, repo_data_dir
def load_catalog(catalog_file='kebc.csv'):
"""
Load the Kepler Eclipsing Binary ... | mit |
kazemakase/scikit-learn | examples/plot_multilabel.py | 87 | 4279 | # Authors: Vlad Niculae, Mathieu Blondel
# License: BSD 3 clause
"""
=========================
Multilabel classification
=========================
This example simulates a multi-label document classification problem. The
dataset is generated randomly based on the following process:
- pick the number of labels: n ... | bsd-3-clause |
Naereen/notebooks | Oraux_CentraleSupelec_PSI__Juin_2018.py | 1 | 28554 |
# coding: utf-8
# # Table of Contents
# <p><div class="lev1 toc-item"><a href="#Oraux-CentraleSupélec-PSI---Juin-2018" data-toc-modified-id="Oraux-CentraleSupélec-PSI---Juin-2018-1"><span class="toc-item-num">1 </span>Oraux CentraleSupélec PSI - Juin 2018</a></div><div class="lev2 toc-item"><a href="#Rema... | mit |
mwv/scikit-learn | examples/linear_model/plot_omp.py | 385 | 2263 | """
===========================
Orthogonal Matching Pursuit
===========================
Using orthogonal matching pursuit for recovering a sparse signal from a noisy
measurement encoded with a dictionary
"""
print(__doc__)
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import OrthogonalM... | bsd-3-clause |
RayMick/scikit-learn | sklearn/grid_search.py | 61 | 37197 | """
The :mod:`sklearn.grid_search` includes utilities to fine-tune the parameters
of an estimator.
"""
from __future__ import print_function
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>,
# Gael Varoquaux <gael.varoquaux@normalesup.org>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# ... | bsd-3-clause |
tdopires/forest-cover-group6 | analysis/visualize.py | 1 | 5749 | # Some code for visualization of the raw data.
import pandas as pd
from sklearn import ensemble
import pylab
import math
def plot_scatter_all(df_train, columns):
"""
Makes scatter plots of all combinations of quantative features.
"""
# Get a feature for the x-axis
for i in xrange(1,11):
co... | apache-2.0 |
glouppe/scikit-learn | examples/decomposition/plot_image_denoising.py | 181 | 5819 | """
=========================================
Image denoising using dictionary learning
=========================================
An example comparing the effect of reconstructing noisy fragments
of the Lena image using firstly online :ref:`DictionaryLearning` and
various transform methods.
The dictionary is fitted o... | bsd-3-clause |
NINAnor/sentinel4nature | Tree canopy cover/regression/GBRT_Dovre2_LiDAR_bands.py | 1 | 8988 | # GBRT for Dovre2 case study site
# Training data: LiDAR-derived tree canopy cover
# Predictors: Sentinel-1 and Sentinel-2 bands
# Authors: Stefan Blumentrath
import numpy as np
import matplotlib
matplotlib.use('Cairo') # Must be before importing matplotlib.pyplot or pylab!
import matplotlib.pyplot as plt
from sklear... | gpl-2.0 |
bartosh/zipline | zipline/testing/fixtures.py | 1 | 56869 | import os
import sqlite3
from unittest import TestCase
from contextlib2 import ExitStack
from logbook import NullHandler, Logger
from six import with_metaclass, iteritems
from toolz import flip
import pandas as pd
import responses
from .core import (
create_daily_bar_data,
create_minute_bar_data,
make_sim... | apache-2.0 |
sharag/py_analis | razlad/for_stat.py | 1 | 7047 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.ticker import LinearLocator, FormatStrFormatter
from razlad.functions import f_probability, max_probabil
import pickle
# Формирвоание скачков
# Характеристики скачков
graph_len... | gpl-3.0 |
mxjl620/scikit-learn | sklearn/metrics/tests/test_regression.py | 272 | 6066 | from __future__ import division, print_function
import numpy as np
from itertools import product
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.... | bsd-3-clause |
daisuke-motoki/single_shot_multibox_detector | scripts/video_example.py | 1 | 5061 | import os
import pickle
import numpy as np
from scipy.misc import imread, imresize
from ssd.ssd import SingleShotMultiBoxDetector
import imageio
from PIL import Image, ImageDraw, ImageFont
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
class Video(object):
"""
"""
def __init__(sel... | mit |
duguyue100/kmeans | kmeans.py | 1 | 1294 | """
This file contains my implementation of the paper:
Learning Feature Representation with K-means
Author: Yuhuang Hu
Email: duguyue100@gmail.com
"""
import numpy as np;
import matplotlib;
matplotlib.use('tkagg');
import matplotlib.pyplot as plt;
import util;
# Read image
## MNIST
# train_set, valid_set, test_set... | mit |
RomainBrault/scikit-learn | sklearn/decomposition/tests/test_pca.py | 12 | 21107 | import numpy as np
import scipy as sp
from itertools import product
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_equal
from sklearn.utils.testing import assert_gre... | bsd-3-clause |
JVillella/tensorflow | tensorflow/examples/learn/text_classification_character_rnn.py | 29 | 4506 | # 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 |
heprom/pymicro | examples/plotting/field_pole_figure.py | 1 | 1665 | from pymicro.crystal.microstructure import *
from pymicro.crystal.texture import *
from matplotlib import pyplot as plt, colors, colorbar, cm
if __name__ == '__main__':
'''This example demonstrate how a field can be used to color each symbol on
the pole figure with the :py:meth:~`pymicro.crystal.texture.set_ma... | mit |
mattjj/dirichlet-truncated-multinomial | figures.py | 1 | 11125 | from __future__ import division
from matplotlib import pyplot as plt
import numpy as np
na = np.newaxis
from scipy.interpolate import griddata
import simplex, dirichlet, sampling, tests, density, timing
allfigfuncs = []
SAVING = True
# plt.interactive(False)
#################################
# Figure-Generating Fun... | mit |
karstenw/nodebox-pyobjc | examples/Extended Application/matplotlib/examples/lines_bars_and_markers/scatter_with_legend.py | 1 | 1323 | """
===========================
Scatter plots with a legend
===========================
Also demonstrates how transparency of the markers
can be adjusted by giving ``alpha`` a value between
0 and 1.
"""
import matplotlib.pyplot as plt
from numpy.random import rand
# nodebox section
if __name__ == '__builtin__':
... | mit |
jcsaezal/pmctrack | src/gui/frontend/monitoring_frame.py | 1 | 19577 | # -*- coding: utf-8 -*-
#
# monitoring_frame.py
#
##############################################################################
#
# Copyright (c) 2015 Jorge Casas <jorcasas@ucm.es>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publis... | gpl-2.0 |
IBT-FMI/SAMRI | samri/pipelines/diagnostics.py | 1 | 9355 | from os import path, listdir, getcwd, remove
import inspect
import json
import re
import shutil
from copy import deepcopy
from itertools import product
import argh
import nipype.interfaces.ants as ants
import nipype.interfaces.io as nio
import nipype.interfaces.utility as util
import nipype.pipeline.engine as pe
impo... | gpl-3.0 |
NixaSoftware/CVis | venv/lib/python2.7/site-packages/pandas/tests/groupby/test_aggregate.py | 2 | 34088 | # -*- coding: utf-8 -*-
"""
we test .agg behavior / note that .apply is tested
generally in test_groupby.py
"""
from __future__ import print_function
import pytest
from datetime import datetime, timedelta
from functools import partial
import numpy as np
from numpy import nan
import pandas as pd
from pandas import... | apache-2.0 |
DPRL/MathSymbolRecognizer | src/get_enhanced_clustered_set.py | 1 | 14814 | """
DPRL Math Symbol Recognizers
Copyright (c) 2012-2014 Kenny Davila, Richard Zanibbi
This file is part of DPRL Math Symbol Recognizers.
DPRL Math Symbol Recognizers is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
t... | gpl-3.0 |
mdenil/parameter_prediction | examples/multijob/mnist_0001/generate_report.py | 1 | 3199 | from __future__ import division
import numpy as np
import pandas as pd
import os
import yaml
import re
import glob
import cPickle as pickle
import itertools
from StringIO import StringIO
def job_results_available(job_dir):
model_file_name = os.path.join(job_dir, "models", "finetune_all.pkl")
return os.path.ex... | mit |
wlamond/scikit-learn | sklearn/decomposition/truncated_svd.py | 1 | 8451 | """Truncated SVD for sparse matrices, aka latent semantic analysis (LSA).
"""
# Author: Lars Buitinck
# Olivier Grisel <olivier.grisel@ensta.org>
# Michael Becker <mike@beckerfuffle.com>
# License: 3-clause BSD.
import numpy as np
import scipy.sparse as sp
from scipy.sparse.linalg import svds
from ..... | bsd-3-clause |
rrohan/scikit-learn | setup.py | 76 | 9370 | #! /usr/bin/env python
#
# Copyright (C) 2007-2009 Cournapeau David <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# License: 3-clause BSD
descr = """A set of python modules for machine learning and data mining"""
import sys
import os
import shutil
from distutils.command.clean ... | bsd-3-clause |
gdiminin/HaSAPPy | HaSAPPy/Outlier_fold.py | 1 | 3131 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 4 08:49:20 2017
@author: gdiminin
"""
import pandas as pd
import numpy as np
import HaSAPPy.LOF as LOF
def main (GroupAnalysis,DATA):
####
def outlier_InputData (GroupAnalysis,DATA,group):
####
def prepare... | mit |
dolphyin/cs194-16-data_manatees | classificationSpecific/train.py | 4 | 3624 | import numpy as np
import pandas as pd
from pandas import Timestamp
import time
import math, json, pdb
from sklearn import cross_validation
from sklearn import datasets
from sklearn import grid_search
from sklearn import svm
from sklearn import linear_model
from sklearn import cluster
# TODO: create training data
# ... | apache-2.0 |
humdings/zipline | tests/data/test_us_equity_pricing.py | 5 | 14225 | #
# 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 |
takaakiaoki/PyFoam | PyFoam/Basics/MatplotlibTimelines.py | 2 | 6466 | # ICE Revision: $Id$
"""Plots a collection of timelines"""
from PyFoam.Error import warning,error
from PyFoam.Basics.CustomPlotInfo import readCustomPlotInfo,CustomPlotInfo
from .GeneralPlotTimelines import GeneralPlotTimelines
from platform import uname
firstTimeImport=True
class MatplotlibTimelines(GeneralPlot... | gpl-2.0 |
michellemorales/OpenMM | scripts/Experiments.py | 1 | 19954 | import Fusions
import pandas
import os
def get_earlyfusion():
print('\nRunning fusion experiments...\n')
# Get training labels
train_csv = '/Users/michellemorales/Desktop/MoralesDocs/DAIC_WOZ/Labels/training_split.csv'
train_df = pandas.read_csv(train_csv)
train_labels = {}
for row in train_df... | gpl-2.0 |
yask123/scikit-learn | sklearn/decomposition/tests/test_online_lda.py | 49 | 13124 | import numpy as np
from scipy.linalg import block_diag
from scipy.sparse import csr_matrix
from scipy.special import psi
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.decomposition._online_lda import (_dirichlet_expectation_1d,
_dirichlet_expect... | bsd-3-clause |
markovg/nest-simulator | testsuite/manualtests/stdp_check.py | 4 | 4619 | # -*- coding: utf-8 -*-
#
# stdp_check.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 |
Prometheus-ETSIIT/locaviewer | Localizacion/Estudio potencia/estudio_potencia.py | 1 | 5570 | # -*- coding: utf-8 -*-
#
###############################################
# Script para realizar un estudio de potencia #
# de un dispositivo Bluetooth. #
# #
# V 1.0: Benito Palacios Sánchez #
# - Recorre rango de distancia y ángulo y #
# ... | mit |
kapteyn-astro/kapteyn | doc/source/EXAMPLES/kmpfit_hubblefit.py | 1 | 8592 | #!/usr/bin/env python
# Demonstrate regression through origin
# 02-03-2012
import numpy
from matplotlib.pyplot import figure, show, rc
from numpy.random import normal
from scipy.special import erfc
from kapteyn import kmpfit
def model(b, x):
return b*x
def residuals(p, data): # Needed for kmpfit
x, y, er... | bsd-3-clause |
cmorgan/trading-with-python | lib/classes.py | 1 | 8162 | """
worker classes
@author: Jev Kuznetsov
Licence: GPL v2
"""
__docformat__ = 'restructuredtext'
import os
import logger as logger
from yahooFinance import getHistoricData
from functions import estimateBeta, returns, rank
from datetime import date
from pandas import DataFrame, Series
import numpy as n... | bsd-3-clause |
JohnCEarls/MasterDirac | masterdirac/models/run.py | 1 | 12943 | from pynamodb.models import Model
from pynamodb.attributes import (UnicodeAttribute, UTCDateTimeAttribute,
NumberAttribute, UnicodeSetAttribute, JSONAttribute, BooleanAttribute)
from datetime import datetime
import json
import collections
import os.path
#STATUS_CODES
CONFIG = -10
INIT = 0
PREP = 5
ACTIVE = 10... | agpl-3.0 |
Barmaley-exe/scikit-learn | examples/ensemble/plot_forest_iris.py | 335 | 6271 | """
====================================================================
Plot the decision surfaces of ensembles of trees on the iris dataset
====================================================================
Plot the decision surfaces of forests of randomized trees trained on pairs of
features of the iris dataset.
... | bsd-3-clause |
afgaron/rgz-analysis | python/betatest.py | 2 | 14268 | #!/usr/bin/env python
'''
First script to reduce the data from the beta release of Radio Galaxy Zoo (Oct 2013)
Written by Julie Banfield, CSIRO
'''
# import necessary python packages
import numpy as np
import matplotlib # plotting package
import pylab as plt # part of plotting package
i... | mit |
oxtopus/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/blocking_input.py | 69 | 12119 | """
This provides several classes used for blocking interaction with figure windows:
:class:`BlockingInput`
creates a callable object to retrieve events in a blocking way for interactive sessions
:class:`BlockingKeyMouseInput`
creates a callable object to retrieve key or mouse clicks in a blocking way for int... | gpl-3.0 |
felipeband/aterramento | impedanciaImpulsiva.py | 1 | 3208 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Felipe Bandeira da Silva
# Fortaleza-CE, 29/06/2013
# felipeband18@gmail.com
import os
import csv
import matplotlib.pyplot as plt
from scipy.signal import butter, lfilter
from numpy import copy, mean
def zpDir(dir, nivelRecursao=50, ddir=None, debug=0):
""" Calcul... | gpl-2.0 |
kcompher/scipy2015-blaze-bokeh | viz.py | 6 | 3985 | # -*- coding: utf-8 -*-
import math
from collections import OrderedDict
import pandas as pd
import netCDF4
from bokeh.plotting import figure, show, output_notebook
from bokeh.models import DatetimeTickFormatter, ColumnDataSource, HoverTool, Plot, Range1d
from bokeh.palettes import RdBu11
from bokeh.models.glyphs impo... | mit |
BrianGasberg/filterpy | filterpy/kalman/tests/test_ukf.py | 2 | 20947 | # -*- coding: utf-8 -*-
"""Copyright 2015 Roger R Labbe Jr.
FilterPy library.
http://github.com/rlabbe/filterpy
Documentation at:
https://filterpy.readthedocs.org
Supporting book at:
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
This is licensed under an MIT license. See the readme.MD file
for mo... | mit |
hugobowne/scikit-learn | sklearn/gaussian_process/tests/test_gaussian_process.py | 267 | 6813 | """
Testing for Gaussian Process module (sklearn.gaussian_process)
"""
# Author: Vincent Dubourg <vincent.dubourg@gmail.com>
# Licence: BSD 3 clause
from nose.tools import raises
from nose.tools import assert_true
import numpy as np
from sklearn.gaussian_process import GaussianProcess
from sklearn.gaussian_process ... | bsd-3-clause |
hazelnusse/robot.bicycle | gui/rbg_plot_page.py | 1 | 4805 | """
Setup for Robot Bicycle GUI Plot Page.
Oliver Lee (oliverzlee@gmail.com)
18 Feb 2013
"""
import os
import sys
sys.path.append(os.path.join(os.getcwd(), "..", "common"))
import math
import sip
from PyQt4 import QtCore, QtGui
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import Figur... | bsd-2-clause |
dsquareindia/scikit-learn | sklearn/base.py | 13 | 19725 | """Base classes for all estimators."""
# Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# License: BSD 3 clause
import copy
import warnings
import numpy as np
from scipy import sparse
from .externals import six
from .utils.fixes import signature
from . import __version__
###################################... | bsd-3-clause |
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