repo_name stringlengths 7 92 | path stringlengths 5 149 | copies stringlengths 1 3 | size stringlengths 4 6 | content stringlengths 911 693k | license stringclasses 15
values |
|---|---|---|---|---|---|
xhochy/arrow | python/pyarrow/tests/test_hdfs.py | 1 | 13325 | # 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 u... | apache-2.0 |
spallavolu/scikit-learn | examples/bicluster/plot_spectral_coclustering.py | 276 | 1736 | """
==============================================
A demo of the Spectral Co-Clustering algorithm
==============================================
This example demonstrates how to generate a dataset and bicluster it
using the the Spectral Co-Clustering algorithm.
The dataset is generated using the ``make_biclusters`` f... | bsd-3-clause |
ASU-CodeDevils/DemonHacks2017 | gameFiles/Python/helpers.py | 1 | 7120 | from __future__ import print_function
from __future__ import division
import numpy as np
from datetime import datetime
from scipy.stats import norm
from scipy.optimize import minimize
def acq_max(ac, gp, y_max, bounds, random_state):
"""
A function to find the maximum of the acquisition function
It uses ... | mit |
muLAn-project/muLAn | muLAn/instruments.py | 1 | 5376 | # -*-coding:Utf-8 -*
# ====================================================================
# Packages
# ====================================================================
import configparser as cp
import copy
import glob
import muLAn
import muLAn.packages.general_tools as gtools
import muLAn.packages.algebra as alge... | mit |
imaculate/scikit-learn | examples/preprocessing/plot_function_transformer.py | 158 | 1993 | """
=========================================================
Using FunctionTransformer to select columns
=========================================================
Shows how to use a function transformer in a pipeline. If you know your
dataset's first principle component is irrelevant for a classification task,
you ca... | bsd-3-clause |
Axelrod-Python/Axelrod-fingerprint | update_fingerprints.py | 1 | 8815 | """
A script to obtain the Ashlock Fingerprints of all strategies in the Axelrod
library.
This writes a hash of the source code of each strategy to file: db.csv.
If the source code of a strategy changes **or** a new strategy is introduced
then the fingerprint is regenerated for that strategy.
"""
import inspect
impo... | mit |
hwp-kiel/opencali | src/ui/mplwidget.py | 1 | 1403 | # Python Qt4 bindings for GUI objects
from PyQt4 import QtGui
# import the Qt4Agg FigureCanvas object, that binds Figure to
# Qt4Agg backend. It also inherits from QWidget
from matplotlib.backends.backend_qt4agg \
import FigureCanvasQTAgg as FigureCanvas
# Matplotlib Figure object
from matplotlib.figure import Figure
... | gpl-2.0 |
Evensgn/MNIST-learning | mnist_svm.py | 1 | 1201 | import numpy as np
import matplotlib.pyplot as plt
GRAY_SCALE_RANGE = 255
import pickle
data_filename = 'data_deskewed.pkl'
print('Loading data from file \'' + data_filename + '\' ...')
with open(data_filename, 'rb') as f:
train_labels = pickle.load(f)
train_images = pickle.load(f)
test_labels = pickle.l... | mit |
dr-jpk/saltefficiency | weekly/weekly_summary_plots.py | 1 | 8536 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 10:06:20 2015
@author: jpk
ToDo: automate the subsystems check. A query that checks all the subsystems in
case things change in the future should prevent issues with the pis chart
colours
"""
import sys
import os
import pandas as pd
import pandas.io.sql as psql
impor... | bsd-3-clause |
dhalleine/tensorflow | tensorflow/examples/skflow/iris.py | 1 | 1465 | # 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 |
amueller/advanced_training | plots/plot_interactive_tree.py | 1 | 2695 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
from sklearn.tree import DecisionTreeClassifier
from sklearn.externals.six import StringIO # doctest: +SKIP
from sklearn.tree import export_graphviz
from scipy.misc import imread
from scipy import ndimage
import os
import re
... | bsd-2-clause |
rsheftel/pandas_market_calendars | tests/test_bse_calendar.py | 1 | 1192 | import datetime
import pandas as pd
import pytz
from pandas_market_calendars.exchange_calendar_bse import BSEExchangeCalendar, BSEClosedDay
def test_time_zone():
assert BSEExchangeCalendar().tz == pytz.timezone('Asia/Calcutta')
assert BSEExchangeCalendar().name == 'BSE'
def test_holidays():
bse_calend... | mit |
dipanjanS/text-analytics-with-python | Old-First-Edition/Ch04_Text_Classification/classifier_evaluation_demo.py | 1 | 3277 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 02 12:36:55 2016
@author: DIP
"""
from sklearn import metrics
import numpy as np
import pandas as pd
from collections import Counter
actual_labels = ['spam', 'ham', 'spam', 'spam', 'spam',
'ham', 'ham', 'spam', 'ham', 'spam',
'spam', 'ham',... | apache-2.0 |
Averroes/statsmodels | statsmodels/sandbox/examples/try_multiols.py | 33 | 1243 | # -*- coding: utf-8 -*-
"""
Created on Sun May 26 13:23:40 2013
Author: Josef Perktold, based on Enrico Giampieri's multiOLS
"""
#import numpy as np
import pandas as pd
import statsmodels.api as sm
from statsmodels.sandbox.multilinear import multiOLS, multigroup
data = sm.datasets.longley.load_pandas()
df = data.e... | bsd-3-clause |
nlhepler/freetype-py3 | examples/glyph-vector-2.py | 1 | 3414 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
#
# FreeType high-level python API - Copyright 2011 Nicolas P. Rougier
# Distributed under the terms of the new BSD license.
#
# ---------------------------------------------------------------... | bsd-3-clause |
kenshay/ImageScript | ProgramData/SystemFiles/Python/Lib/site-packages/dask/dataframe/__init__.py | 2 | 1278 | from __future__ import print_function, division, absolute_import
try:
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
repartition, to_datetime, to_timedelta)
from .groupby import Aggregation
from .io import (from_array, from_pandas, from_bcolz,
... | gpl-3.0 |
lifei96/Medium-crawler-with-data-analyzer | User_Crawler/get_data.py | 2 | 1601 | # -*- coding: utf-8 -*-
import pandas as pd
import json
import datetime
import os
def read_users():
users = list()
file_in = open('./username_list.txt', 'r')
username_list = str(file_in.read()).split(' ')
file_in.close()
num = 0
for username in username_list:
if not username:
... | mit |
MechCoder/scikit-learn | sklearn/metrics/__init__.py | 8 | 3701 | """
The :mod:`sklearn.metrics` module includes score functions, performance metrics
and pairwise metrics and distance computations.
"""
from .ranking import auc
from .ranking import average_precision_score
from .ranking import coverage_error
from .ranking import label_ranking_average_precision_score
from .ranking imp... | bsd-3-clause |
willyd/fast-rcnn | tools/demo.py | 22 | 5446 | #!/usr/bin/env python
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""
Demo script showing detections in sample ima... | mit |
clawpack/clawpack-4.x | doc/sphinx/example-acoustics-1d/setplot_2.py | 2 | 2095 |
"""
Single figure and axes with two items
=======================================
Only the pressure q[0] is plotted.
In this example the line and points are plotted in different colors by
specifying a second item on the same axes.
"""
#--------------------------
def setplot(plotdata):
#--------------------------... | bsd-3-clause |
dingocuster/scikit-learn | sklearn/naive_bayes.py | 70 | 28476 | # -*- coding: utf-8 -*-
"""
The :mod:`sklearn.naive_bayes` module implements Naive Bayes algorithms. These
are supervised learning methods based on applying Bayes' theorem with strong
(naive) feature independence assumptions.
"""
# Author: Vincent Michel <vincent.michel@inria.fr>
# Minor fixes by Fabian Pedre... | bsd-3-clause |
jhamman/xray | xarray/tests/test_combine.py | 1 | 15860 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from copy import deepcopy
import numpy as np
import pandas as pd
from xarray import Dataset, DataArray, auto_combine, concat, Variable
from xarray.core.pycompat import iteritems, OrderedDict
from . import Tes... | apache-2.0 |
spallavolu/scikit-learn | examples/linear_model/plot_logistic.py | 312 | 1426 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Logit function
=========================================================
Show 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 two, u... | bsd-3-clause |
chungjjang80/FRETBursts | fretbursts/tests/test_burstlib.py | 1 | 40546 | #
# FRETBursts - A single-molecule FRET burst analysis toolkit.
#
# Copyright (C) 2014 Antonino Ingargiola <tritemio@gmail.com>
#
"""
Module containing automated unit tests for FRETBursts.
Running the tests requires `py.test`.
"""
from __future__ import division
from builtins import range, zip
from collections impor... | gpl-2.0 |
kylerbrown/scikit-learn | benchmarks/bench_20newsgroups.py | 377 | 3555 | from __future__ import print_function, division
from time import time
import argparse
import numpy as np
from sklearn.dummy import DummyClassifier
from sklearn.datasets import fetch_20newsgroups_vectorized
from sklearn.metrics import accuracy_score
from sklearn.utils.validation import check_array
from sklearn.ensemb... | bsd-3-clause |
paultcochrane/bokeh | examples/charts/file/stocks_timeseries.py | 33 | 1230 | from collections import OrderedDict
import pandas as pd
from bokeh.charts import TimeSeries, show, output_file
# read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
MSFT = pd.read_csv(
"http... | bsd-3-clause |
gerddie/nipype | nipype/algorithms/rapidart.py | 9 | 30137 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
The rapidart module provides routines for artifact detection and region of
interest analysis.
These functions include:
* ArtifactDetect: performs artifact detection on functional images
* Stimulu... | bsd-3-clause |
tedunderwood/GenreProject | python/piketty/fifteenwordsnippets.py | 1 | 11248 | # fifteenwordsnippets.py
# A script that searches a HathiTrust corpus of 6,942 volumes (1700-1923), plus Hoyt & Richard's
# corpus of 808 vols (1923-1950), for words related to money. It takes seven words on either
# side of those words to create a snippet.
# In cases where the possibly-monetary word is ambiguous, e.... | mit |
alesaccoia/TF_SoundClassification | as_sound/exec/train_vad_ann_5FCL_classifier.py | 1 | 1585 | import numpy as np
import as_classification.ann_models
import as_sound.features.extractFeatures as ef
import as_classification.utilities
import os
import matplotlib.pyplot as plt
# -------------------------------
# CREATE MODEL
# -------------------------------
model = as_classification.ann_models.ANN_5FCL()
model.i... | mit |
blaze/dask | dask/dataframe/tests/test_indexing.py | 2 | 19852 | import pandas as pd
import numpy as np
import pytest
import dask
import dask.dataframe as dd
from dask.dataframe._compat import tm, PANDAS_GT_100
from dask.dataframe.indexing import _coerce_loc_index
from dask.dataframe.utils import assert_eq, make_meta, PANDAS_VERSION
dsk = {
("x", 0): pd.DataFrame({"a": [1, ... | bsd-3-clause |
merenlab/anvio | anvio/drivers/sourmash.py | 2 | 4700 | # coding: utf-8
"""Interface to sourmash"""
import os
import numpy as np
import pandas as pd
import shutil
import anvio
import anvio.utils as utils
import anvio.terminal as terminal
import anvio.filesnpaths as filesnpaths
from scipy.stats import entropy, skew, kurtosis
from anvio.errors import ConfigError
__autho... | gpl-3.0 |
JsNoNo/scikit-learn | doc/tutorial/text_analytics/solutions/exercise_02_sentiment.py | 254 | 2795 | """Build a sentiment analysis / polarity model
Sentiment analysis can be casted as a binary text classification problem,
that is fitting a linear classifier on features extracted from the text
of the user messages so as to guess wether the opinion of the author is
positive or negative.
In this examples we will use a ... | bsd-3-clause |
BigDataforYou/movie_recommendation_workshop_1 | big_data_4_you_demo_1/venv/lib/python2.7/site-packages/pandas/stats/tests/test_math.py | 9 | 1836 | import nose
from datetime import datetime
from numpy.random import randn
import numpy as np
from pandas.core.api import Series, DataFrame, date_range
import pandas.util.testing as tm
import pandas.stats.math as pmath
from pandas import ols
N, K = 100, 10
_have_statsmodels = True
try:
import statsmodels.api as s... | mit |
trachelr/mne-python | mne/time_frequency/tfr.py | 2 | 48373 | """A module which implements the time frequency estimation.
Morlet code inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
# Authors : Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
#
# License : BSD (3-clause)
import warnings
from math ... | bsd-3-clause |
Peratham/tensorlib | doc/sphinxext/gen_rst.py | 11 | 38957 | """
Example generation for the scikit learn
Generate the rst files for the examples by iterating over the python
example files.
Files that generate images should start with 'plot'
"""
from __future__ import division, print_function
from time import time
import ast
import os
import re
import shutil
import traceback
i... | bsd-3-clause |
JackKelly/neuralnilm_prototype | scripts/e129.py | 2 | 5359 | 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, SubsampleLayer, DimshuffleLayer
from lasagne.nonlinearities import sigmoid, rectify
from lasagne.objectives import c... | mit |
jseabold/statsmodels | examples/python/contrasts.py | 5 | 9020 | # coding: utf-8
# DO NOT EDIT
# Autogenerated from the notebook contrasts.ipynb.
# Edit the notebook and then sync the output with this file.
#
# flake8: noqa
# DO NOT EDIT
# # Contrasts Overview
import numpy as np
import statsmodels.api as sm
# This document is based heavily on this excellent resource from UCLA
# ... | bsd-3-clause |
rahul-c1/scikit-learn | sklearn/cluster/tests/test_mean_shift.py | 19 | 2844 | """
Testing for mean shift clustering methods
"""
import numpy as np
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_false
from sklearn.utils.testing import assert_true
from sklearn.utils.testing import assert_array_equal
from sklearn.cluster import MeanShift
from sklearn.clu... | bsd-3-clause |
jingxiang-li/kaggle-yelp | archive/preprocess.py | 1 | 1280 | from __future__ import division, absolute_import
from __future__ import print_function, unicode_literals
import pandas as pd
from transfer_features import *
# process training data
biz2label = pd.read_csv("rawdata/train.csv", index_col=0)
photo2biz = pd.read_csv("rawdata/train_photo_to_biz_ids.csv", index_col=0)
biz2... | mit |
zak-k/iris | lib/iris/tests/test_quickplot.py | 4 | 7721 | # (C) British Crown Copyright 2010 - 2016, Met Office
#
# This file is part of Iris.
#
# Iris 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 l... | gpl-3.0 |
Chaparqanatoos/kaggle-knowledge | src/main/python/titanic.py | 1 | 2524 | import pandas as pd
import numpy as np
def pre_process(df):
df['Gender'] = df['Sex'].map({'female': 0, 'male': 1}).astype(int)
median_ages = np.zeros((2, 3))
for i in range(0, 2):
for j in range(0, 3):
median_ages[i, j] = df[(df['Gender'] == i) & (df['Pclass'] == j + 1)][... | apache-2.0 |
mlperf/training_results_v0.7 | Fujitsu/benchmarks/resnet/implementations/implementation_open/mxnet/example/deep-embedded-clustering/dec.py | 6 | 7768 | # 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 u... | apache-2.0 |
waynenilsen/statsmodels | statsmodels/sandbox/examples/ex_kaplan_meier.py | 33 | 2838 | #An example for the Kaplan-Meier estimator
from __future__ import print_function
from statsmodels.compat.python import lrange
import statsmodels.api as sm
import matplotlib.pyplot as plt
import numpy as np
from statsmodels.sandbox.survival2 import KaplanMeier
#Getting the strike data as an array
dta = sm.datasets.stri... | bsd-3-clause |
IshankGulati/scikit-learn | sklearn/linear_model/tests/test_sgd.py | 34 | 47824 | import pickle
import unittest
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing ... | bsd-3-clause |
hasecbinusr/pysal | pysal/contrib/pdio/dbf.py | 7 | 6661 | """miscellaneous file manipulation utilities
"""
import numpy as np
import pysal as ps
import pandas as pd
def check_dups(li):
"""checks duplicates in list of ID values
ID values must be read in as a list
__author__ = "Luc Anselin <luc.anselin@asu.edu> "
Arguments
---------
... | bsd-3-clause |
rubennj/pvlib-python | docs/sphinx/sphinxext/numpydoc/docscrape_sphinx.py | 41 | 9437 | from __future__ import division, absolute_import, print_function
import sys, re, inspect, textwrap, pydoc
import sphinx
import collections
from .docscrape import NumpyDocString, FunctionDoc, ClassDoc
if sys.version_info[0] >= 3:
sixu = lambda s: s
else:
sixu = lambda s: unicode(s, 'unicode_escape')
class Sp... | bsd-3-clause |
Garrett-R/scikit-learn | sklearn/metrics/tests/test_ranking.py | 4 | 33878 | from __future__ import division, print_function
import numpy as np
from itertools import product
import warnings
from sklearn import datasets
from sklearn import svm
from sklearn import ensemble
from sklearn.datasets import make_multilabel_classification
from sklearn.random_projection import sparse_random_matrix
fro... | bsd-3-clause |
bgris/ODL_bgris | lib/python3.5/site-packages/matplotlib/patches.py | 6 | 148732 | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import map, zip
import math
import matplotlib as mpl
import numpy as np
import matplotlib.cbook as cbook
import matplotlib.artist as artist
from matplotlib.a... | gpl-3.0 |
kcavagnolo/astroML | examples/learning/plot_neighbors_photoz.py | 3 | 2115 | """
K-Neighbors for Photometric Redshifts
-------------------------------------
Estimate redshifts from the colors of sdss galaxies and quasars.
This uses colors from a sample of 50,000 objects with SDSS photometry
and ugriz magnitudes. The example shows how far one can get with an
extremely simple machine learning a... | bsd-2-clause |
iproduct/course-social-robotics | 11-dnn-keras/venv/Lib/site-packages/pandas/tests/reshape/merge/test_merge_ordered.py | 3 | 6370 | import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame, merge_ordered
import pandas._testing as tm
class TestMergeOrdered:
def setup_method(self, method):
self.left = DataFrame({"key": ["a", "c", "e"], "lvalue": [1, 2.0, 3]})
self.right = DataFrame({"key": ["b", "c", "... | gpl-2.0 |
vibhorag/scikit-learn | sklearn/tests/test_isotonic.py | 230 | 11087 | import numpy as np
import pickle
from sklearn.isotonic import (check_increasing, isotonic_regression,
IsotonicRegression)
from sklearn.utils.testing import (assert_raises, assert_array_equal,
assert_true, assert_false, assert_equal,
... | bsd-3-clause |
nelson-liu/scikit-learn | examples/ensemble/plot_adaboost_regression.py | 311 | 1529 | """
======================================
Decision Tree Regression with AdaBoost
======================================
A decision tree is boosted using the AdaBoost.R2 [1] algorithm on a 1D
sinusoidal dataset with a small amount of Gaussian noise.
299 boosts (300 decision trees) is compared with a single decision tr... | bsd-3-clause |
arabenjamin/scikit-learn | sklearn/ensemble/tests/test_base.py | 284 | 1328 | """
Testing for the base module (sklearn.ensemble.base).
"""
# Authors: Gilles Louppe
# License: BSD 3 clause
from numpy.testing import assert_equal
from nose.tools import assert_true
from sklearn.utils.testing import assert_raise_message
from sklearn.datasets import load_iris
from sklearn.ensemble import BaggingCla... | bsd-3-clause |
allrod5/extra-trees | benchmarks/classification/decision_surface.py | 1 | 4826 | print(__doc__)
# Code source: Gaël Varoquaux
# Andreas Müller
# Modified for MCZA015-13 class project by Rodrigo Martins de Oliveira
# License: BSD 3 clause
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import ListedColormap
from sklearn.datasets import make_circles
from skle... | mit |
dadawang/tushare | tushare/stock/macro.py | 37 | 12728 | # -*- coding:utf-8 -*-
"""
宏观经济数据接口
Created on 2015/01/24
@author: Jimmy Liu
@group : waditu
@contact: jimmysoa@sina.cn
"""
import pandas as pd
import numpy as np
import re
import json
from tushare.stock import macro_vars as vs
from tushare.stock import cons as ct
try:
from urllib.request import urlopen, Reques... | bsd-3-clause |
Remi-C/LOD_ordering_for_patches_of_points | script/test_octree_LOD.py | 1 | 7481 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 2 22:08:22 2014
@author: remi
"""
#trying to order points by octree with python
from numpy import random, sqrt
from sklearn import preprocessing
import matplotlib.pyplot as plt
#defining a dummy entry :a random 3D pointcloud
pointcloud = random.rand(16*16,2);
index =... | lgpl-3.0 |
huobaowangxi/scikit-learn | sklearn/manifold/tests/test_t_sne.py | 162 | 9771 | import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import scipy.sparse as sp
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_less
from sklearn.utils.testing import assert_raises_regexp
... | bsd-3-clause |
Tong-Chen/scikit-learn | sklearn/datasets/base.py | 6 | 18276 | """
Base IO code for all datasets
"""
# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
# 2010 Fabian Pedregosa <fabian.pedregosa@inria.fr>
# 2010 Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
import os
import csv
import shutil
import warnings
from os import en... | bsd-3-clause |
jor-/scipy | scipy/optimize/minpack.py | 1 | 34280 | from __future__ import division, print_function, absolute_import
import threading
import warnings
from . import _minpack
import numpy as np
from numpy import (atleast_1d, dot, take, triu, shape, eye,
transpose, zeros, prod, greater, array,
all, where, isscalar, asarray, inf, abs,... | bsd-3-clause |
ARUNSOORAJPS/flipkart_gridlock | src/main.py | 1 | 2686 | # -*- coding: utf-8 -*-
# @Author: chandan
# @Date: 2017-07-08 00:32:09
# @Last Modified by: chandan
# @Last Modified time: 2017-07-08 11:13:46
from data_utils import read_file
from config import DATA_DIR, SCORE_COLUMNS
import os
from model import train_model, test_model
import pandas as pd
import numpy as np
fr... | mit |
sugiare418/tensorfx | build/tensorflow/scripts/003_lstm_keras_171203/model.py | 2 | 5565 | # -*- coding: utf-8 -*-
# Python 2.7.6
# tensorflow (0.7.1)
import numpy as np
import random
from param import *
import matplotlib
matplotlib.use('Agg') # GUI Off設定
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers.normalization import BatchNormalization
from keras.layers.core impo... | mit |
nesterione/scikit-learn | sklearn/tests/test_learning_curve.py | 225 | 10791 | # Author: Alexander Fabisch <afabisch@informatik.uni-bremen.de>
#
# License: BSD 3 clause
import sys
from sklearn.externals.six.moves import cStringIO as StringIO
import numpy as np
import warnings
from sklearn.base import BaseEstimator
from sklearn.learning_curve import learning_curve, validation_curve
from sklearn.u... | bsd-3-clause |
vighneshbirodkar/scikit-image | skimage/viewer/viewers/core.py | 33 | 13265 | """
ImageViewer class for viewing and interacting with images.
"""
import numpy as np
from ... import io, img_as_float
from ...util.dtype import dtype_range
from ...exposure import rescale_intensity
from ..qt import QtWidgets, Qt, Signal
from ..widgets import Slider
from ..utils import (dialogs, init_qtapp, figimage, ... | bsd-3-clause |
chiu/vincent | examples/scatter_chart_examples.py | 9 | 2130 | # -*- coding: utf-8 -*-
"""
Vincent Scatter Examples
"""
#Build a Line Chart from scratch
from vincent import *
import pandas as pd
import pandas.io.data as web
import datetime
all_data = {}
date_start = datetime.datetime(2010, 1, 1)
date_end = datetime.datetime(2014, 1, 1)
for ticker in ['AAPL', 'IBM', 'YHOO', 'MS... | mit |
jia-kai/hearv | disp_freq.py | 1 | 1942 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# $File: disp_freq.py
# $Date: Sun Nov 23 12:45:25 2014 +0800
# $Author: jiakai <jia.kai66@gmail.com>
import matplotlib.pyplot as plt
import numpy as np
import argparse
import json
def main():
parser = argparse.ArgumentParser()
parser.add_argument('fpath', help=... | unlicense |
samuel1208/scikit-learn | sklearn/decomposition/truncated_svd.py | 199 | 7744 | """Truncated SVD for sparse matrices, aka latent semantic analysis (LSA).
"""
# Author: Lars Buitinck <L.J.Buitinck@uva.nl>
# Olivier Grisel <olivier.grisel@ensta.org>
# Michael Becker <mike@beckerfuffle.com>
# License: 3-clause BSD.
import numpy as np
import scipy.sparse as sp
try:
from scipy.sp... | bsd-3-clause |
hainm/scikit-learn | sklearn/externals/joblib/parallel.py | 86 | 35087 | """
Helpers for embarrassingly parallel code.
"""
# Author: Gael Varoquaux < gael dot varoquaux at normalesup dot org >
# Copyright: 2010, Gael Varoquaux
# License: BSD 3 clause
from __future__ import division
import os
import sys
import gc
import warnings
from math import sqrt
import functools
import time
import thr... | bsd-3-clause |
gbugaisky/bimm_185_conotoxin | wip-scripts_data/kNNProc.py | 1 | 1321 | #!usr/bin/env/python
import numpy as np
import pylab as pl
from matplotlib.colors import ListedColormap
from sklearn import neighbors
def kNNGen(trainfile, testfile):
features = np.genfromtxt(trainfile, delimiter=' ', usecols=(0, 1, 2))
labels = np.genfromtxt(trainfile, delimiter=' ', usecols=(-1))
tests = np.genf... | gpl-2.0 |
sinhrks/scikit-learn | sklearn/tree/tests/test_tree.py | 32 | 52369 | """
Testing for the tree module (sklearn.tree).
"""
import pickle
from functools import partial
from itertools import product
import platform
import numpy as np
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import coo_matrix
from sklearn.random_projection import sparse_rand... | bsd-3-clause |
kwikadi/orange3 | Orange/widgets/data/owdatasampler.py | 2 | 14322 | import sys
import math
from PyQt4 import QtGui
from PyQt4.QtCore import Qt
import numpy as np
import sklearn.cross_validation as skl_cross_validation
from Orange.widgets import widget, gui
from Orange.widgets.settings import Setting
from Orange.data import Table
from Orange.data.sql.table import SqlTable
class OWD... | bsd-2-clause |
idlead/scikit-learn | sklearn/preprocessing/label.py | 16 | 26702 | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Mathieu Blondel <mathieu@mblondel.org>
# Olivier Grisel <olivier.grisel@ensta.org>
# Andreas Mueller <amueller@ais.uni-bonn.de>
# Joel Nothman <joel.nothman@gmail.com>
# Hamzeh Alsalhi <ha258@cornell.edu>
# Licens... | bsd-3-clause |
jm-begon/scikit-learn | sklearn/metrics/cluster/__init__.py | 312 | 1322 | """
The :mod:`sklearn.metrics.cluster` submodule contains evaluation metrics for
cluster analysis results. There are two forms of evaluation:
- supervised, which uses a ground truth class values for each sample.
- unsupervised, which does not and measures the 'quality' of the model itself.
"""
from .supervised import ... | bsd-3-clause |
edhuckle/statsmodels | statsmodels/tools/parallel.py | 32 | 2180 | """Parallel utility function using joblib
copied from https://github.com/mne-tools/mne-python
Author: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
License: Simplified BSD
changes for statsmodels (Josef Perktold)
- try import from joblib directly, (doesn't import all of sklearn)
"""
from __future__ import print... | bsd-3-clause |
combust/mleap | python/tests/sklearn/tree/tree_test.py | 2 | 3507 | import unittest
import os
import shutil
import json
import tempfile
import uuid
from mleap.sklearn.tree.tree import DecisionTreeClassifier, DecisionTreeRegressor
from sklearn.datasets import load_iris
class TransformerTests(unittest.TestCase):
def setUp(self):
self.tmp_dir = tempfile.mkdtemp()
def te... | apache-2.0 |
colin2328/asciiclass | lectures/lec6/match-loop.py | 3 | 2094 | import csv
from sklearn import tree
import editdist
import re
def string_match_score(p1,p2,field):
s1 = p1[field]
s2 = p2[field]
return editdist.distance(s1.lower(),s2.lower())/float(len(s1))
def jaccard_score(p1,p2,field):
name1 = p1[field]
name2 = p2[field]
set1 = set(name1.lower().split())
... | mit |
steven-cutting/latinpigsay | data/text/samples.py | 1 | 6123 | # -*- coding: utf-8 -*-
__title__ = 'latinpigsay'
__license__ = 'MIT'
__author__ = 'Steven Cutting'
__author_email__ = 'steven.c.projects@gmail.com'
__created_on__ = '12/3/2014'
"""
Created on Wed Dec 3 17:36:17 2014
@author: steven_c
"""
acidtest = """Can you talk piglatin to piglatin.
"""
quotes = """A Tale of ... | mit |
Duncan93/dbm-project2 | Ttest.py | 1 | 5148 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 22 22:52:24 2015
@author: lorraine
"""
import json
from pprint import pprint
import numpy as np
from scipy.stats import mstats
from scipy import stats
import csv
import pandas as pd
#json_data=open("data/{0}_B.json".format("pizza")).read()
#data = json.loads(json_data)
... | mit |
Obus/scikit-learn | examples/feature_stacker.py | 246 | 1906 | """
=================================================
Concatenating multiple feature extraction methods
=================================================
In many real-world examples, there are many ways to extract features from a
dataset. Often it is beneficial to combine several methods to obtain good
performance. Th... | bsd-3-clause |
mindriot101/bokeh | sphinx/source/docs/user_guide/examples/categorical_heatmap_unemployment.py | 11 | 1638 | import pandas as pd
from bokeh.io import output_file, show
from bokeh.models import BasicTicker, ColorBar, ColumnDataSource, LinearColorMapper, PrintfTickFormatter
from bokeh.plotting import figure
from bokeh.sampledata.unemployment1948 import data
from bokeh.transform import transform
output_file("unemploymemt.html"... | bsd-3-clause |
kyleabeauchamp/vcfnp | example.py | 2 | 1198 | from __future__ import print_function, division
import numpy as np
import matplotlib.pyplot as plt
import vcfnp
vcfnp.__version__
filename = 'fixture/sample.vcf'
# load data from fixed fields (including INFO)
v = vcfnp.variants(filename, cache=True).view(np.recarray)
# print some simple variant metrics
print('found ... | mit |
sumitsourabh/opencog | opencog/python/utility/functions.py | 34 | 11056 | from math import fabs, isnan
from datetime import datetime
from spatiotemporal.unix_time import UnixTime
from utility.generic import convert_dict_to_sorted_lists
from utility.numeric.globals import EPSILON
from numpy import NINF as NEGATIVE_INFINITY, PINF as POSITIVE_INFINITY
from scipy.integrate import quad
__author_... | agpl-3.0 |
theandygross/Figures | src/Figures/Boxplots.py | 1 | 11851 | """
Created on Apr 24, 2013
@author: agross
"""
import numpy as np
import pandas as pd
import matplotlib.pylab as plt
import Stats.Scipy as Stats
from Figures.FigureHelpers import latex_float, init_ax
from Figures.FigureHelpers import prettify_ax
from Helpers.Pandas import match_series, true_index
colors = plt.rcPa... | mit |
cg31/tensorflow | tensorflow/examples/learn/iris_with_pipeline.py | 17 | 1848 | # 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 |
Machyne/econ_comps | full_2011.py | 1 | 6827 | import os
import numpy as np
import pandas as pd
from pandas.tools.plotting import scatter_matrix
import pylab
import statsmodels.formula.api as smf
import statsmodels.stats.api as sms
from industry_to_days import get_census_mapper
"""
USAGE:
python full_2011.py
CREATES:
results/2011/clean.csv
results/2011/corr.txt... | bsd-3-clause |
toastedcornflakes/scikit-learn | benchmarks/bench_plot_ward.py | 117 | 1283 | """
Benchmark scikit-learn's Ward implement compared to SciPy's
"""
import time
import numpy as np
from scipy.cluster import hierarchy
import matplotlib.pyplot as plt
from sklearn.cluster import AgglomerativeClustering
ward = AgglomerativeClustering(n_clusters=3, linkage='ward')
n_samples = np.logspace(.5, 3, 9)
n... | bsd-3-clause |
gavruskin/microinteractions | data_preprocess_6_reps_with_negatives.py | 1 | 9983 | import pandas as pd
data = pd.read_csv("development_times_exp1and2.csv", sep="\t")
# Add all parameters (Taylor coefficients) as 0 in rows following the data:
for i in range(data.shape[0]):
for j in range(10, 42):
data.set_value(i, j, 0)
data.rename(columns={10: "a", 11: "a1", 12: "a2", 13: "... | mit |
redarmy30/Eurobot-2017 | old year/RESET-master/Machine_vision/get_position.py | 2 | 3426 | #!/usr/bin/env python2
import numpy as np
import cv2
from matplotlib import pyplot as plt
from math import sin, cos, tan, sqrt, pi, atan
from operator import itemgetter
import timeit
#start = timeit.timeit()
h = 0.37 #the vertical distance from the ground to camera [in meters]
alpha = pi*(28.3)/180.0 #the inclination ... | mit |
einarhuseby/arctic | tests/integration/test_arctic.py | 4 | 6898 | from datetime import datetime as dt, timedelta as dtd
from mock import patch
from pandas import DataFrame
from pandas.util.testing import assert_frame_equal
import pytest
import time
import numpy as np
from arctic.arctic import Arctic, VERSION_STORE
from arctic.exceptions import LibraryNotFoundException, QuotaExceeded... | lgpl-2.1 |
chrsrds/scikit-learn | sklearn/neighbors/lof.py | 3 | 20358 | # Authors: Nicolas Goix <nicolas.goix@telecom-paristech.fr>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# License: BSD 3 clause
import numpy as np
import warnings
from .base import NeighborsBase
from .base import KNeighborsMixin
from .base import UnsupervisedMixin
from ..base import Outlie... | bsd-3-clause |
thientu/scikit-learn | sklearn/gaussian_process/gaussian_process.py | 78 | 34552 | # -*- coding: utf-8 -*-
# Author: Vincent Dubourg <vincent.dubourg@gmail.com>
# (mostly translation, see implementation details)
# Licence: BSD 3 clause
from __future__ import print_function
import numpy as np
from scipy import linalg, optimize
from ..base import BaseEstimator, RegressorMixin
from ..metrics... | bsd-3-clause |
nmartensen/pandas | pandas/io/sql.py | 3 | 58612 | # -*- coding: utf-8 -*-
"""
Collection of query wrappers / abstractions to both facilitate data
retrieval and to reduce dependency on DB-specific API.
"""
from __future__ import print_function, division
from datetime import datetime, date, time
import warnings
import re
import numpy as np
import pandas._libs.lib as ... | bsd-3-clause |
anntzer/scikit-learn | sklearn/decomposition/tests/test_online_lda.py | 11 | 14166 | import sys
import numpy as np
from scipy.linalg import block_diag
from scipy.sparse import csr_matrix
from scipy.special import psi
import pytest
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.decomposition._lda import (_dirichlet_expectation_1d,
_dir... | bsd-3-clause |
albertbup/DeepBeliefNetwork | example_classification.py | 3 | 1158 | import numpy as np
np.random.seed(1337) # for reproducibility
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split
from sklearn.metrics.classification import accuracy_score
from dbn.tensorflow import SupervisedDBNClassification
# Loading dataset
digits = load_digits()
X, Y ... | mit |
joshzarrabi/e-mission-server | emission/analysis/classification/inference/mode.py | 2 | 17308 | # Standard imports
from pymongo import MongoClient
import logging
from datetime import datetime
import sys
import os
import numpy as np
import scipy as sp
import time
from datetime import datetime
# Our imports
import emission.analysis.section_features as easf
import emission.core.get_database as edb
# We are not goi... | bsd-3-clause |
calispac/digicampipe | digicampipe/scripts/spe.py | 1 | 14553 | #!/usr/bin/env python
"""
Do the Single Photoelectron anaylsis
Usage:
digicam-spe [options] [--] <INPUT>...
Options:
-h --help Show this screen.
--max_events=N Maximum number of events to analyse.
--max_histo_filename=FILE File path of the max histogram.
... | gpl-3.0 |
stoneflyop1/py_machine_learning | ch08/main.py | 1 | 1080 | import pandas as pd
df = pd.read_csv('../data/movie_data.csv')
import cleandata
df['review'] = df['review'].apply(cleandata.preprocessor)
# grid search, 非常耗时
#import gridlearn
#gridlearn.learn(df)
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.linear_model import SGDClassifier
import tok... | mit |
mbayon/TFG-MachineLearning | vbig/lib/python2.7/site-packages/pandas/io/pytables.py | 3 | 161411 | """
High level interface to PyTables for reading and writing pandas data structures
to disk
"""
# pylint: disable-msg=E1101,W0613,W0603
from datetime import datetime, date
import time
import re
import copy
import itertools
import warnings
import os
from pandas.core.dtypes.common import (
is_list_like,
is_cate... | mit |
yavalvas/yav_com | build/matplotlib/doc/mpl_examples/user_interfaces/gtk_spreadsheet.py | 13 | 2463 | #!/usr/bin/env python
"""
Example of embedding matplotlib in an application and interacting with
a treeview to store data. Double click on an entry to update plot
data
"""
import pygtk
pygtk.require('2.0')
import gtk
from gtk import gdk
import matplotlib
matplotlib.use('GTKAgg') # or 'GTK'
from matplotlib.backends.... | mit |
liyu1990/sklearn | sklearn/cluster/dbscan_.py | 7 | 11611 | # -*- coding: utf-8 -*-
"""
DBSCAN: Density-Based Spatial Clustering of Applications with Noise
"""
# Author: Robert Layton <robertlayton@gmail.com>
# Joel Nothman <joel.nothman@gmail.com>
# Lars Buitinck
#
# License: BSD 3 clause
import numpy as np
from scipy import sparse
from ..base import BaseEst... | bsd-3-clause |
kaushik94/tardis | tardis/montecarlo/tests/test_base.py | 1 | 1152 | import os
import pandas as pd
import numpy as np
import pytest
from astropy import units as u
from numpy.testing import assert_almost_equal
###
# Save and Load
###
@pytest.fixture(scope="module", autouse=True)
def to_hdf_buffer(hdf_file_path, simulation_verysimple):
simulation_verysimple.runner.to_hdf(hdf_file_pa... | bsd-3-clause |
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