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 |
|---|---|---|---|---|---|
deepinsight/Deformable-ConvNets | deeplab/runs_CAIScene/infer3.py | 1 | 9886 | import os
os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
import sys
import argparse
import numpy as np
import cv2
import math
import datetime
import random
import json
import pandas as pd
#import multiprocessing
from Queue import Queue
from threading import Thread
import mxnet as mx
import mxnet.ndarray as nd
from ea... | apache-2.0 |
wanggang3333/scikit-learn | examples/decomposition/plot_pca_3d.py | 354 | 2432 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
=========================================================
Principal components analysis (PCA)
=========================================================
These figures aid in illustrating how a point cloud
can be very flat in one direction--which is where PCA
comes in to ch... | bsd-3-clause |
hainm/scikit-learn | sklearn/metrics/tests/test_score_objects.py | 138 | 14048 | import pickle
import numpy as np
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import assert_raises_regexp
from sklearn.utils.testing import assert_true
from sklearn.utils.testing im... | bsd-3-clause |
conversationai/conversationai-moderator-reddit | perspective_reddit_bot/compute_bot_metrics_test.py | 1 | 2559 | # 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, s... | apache-2.0 |
xiaoxiamii/scikit-learn | sklearn/decomposition/tests/test_factor_analysis.py | 222 | 3055 | # Author: Christian Osendorfer <osendorf@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Licence: BSD3
import numpy as np
from sklearn.utils.testing import assert_warns
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_greater
from sklearn.utils.testing im... | bsd-3-clause |
kdebrab/pandas | pandas/tests/series/test_datetime_values.py | 3 | 19069 | # coding=utf-8
# pylint: disable-msg=E1101,W0612
import locale
import calendar
import pytest
from datetime import datetime, date
import numpy as np
import pandas as pd
from pandas.core.dtypes.common import is_integer_dtype, is_list_like
from pandas import (Index, Series, DataFrame, bdate_range,
... | bsd-3-clause |
shujingke/opencog | opencog/python/spatiotemporal/temporal_events/membership_function.py | 34 | 4673 | from math import fabs
from random import random
from scipy.stats.distributions import rv_frozen
from spatiotemporal.time_intervals import TimeInterval
from spatiotemporal.unix_time import random_time, UnixTime
from utility.generic import convert_dict_to_sorted_lists
from utility.functions import Function, FunctionPiece... | agpl-3.0 |
glneo/gnuradio-davisaf | gr-digital/examples/example_timing.py | 17 | 7791 | #!/usr/bin/env python
from gnuradio import gr, digital
from gnuradio import eng_notation
from gnuradio.eng_option import eng_option
from optparse import OptionParser
try:
import scipy
except ImportError:
print "Error: could not import scipy (http://www.scipy.org/)"
sys.exit(1)
try:
import pylab
excep... | gpl-3.0 |
MartinThoma/algorithms | ML/nlp/document_classification_reuters.py | 1 | 4397 | #!/usr/bin/env python
"""Train a document classifier."""
import time
import reuters
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_sco... | mit |
tgsmith61591/skutil | skutil/preprocessing/tests/test_balance.py | 1 | 4844 | from __future__ import print_function
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
from skutil.preprocessing import *
from skutil.preprocessing.balance import _BaseBalancer
from numpy.testing import assert_array_equal
from skutil.testing import assert_fails
import warnings
# Def data f... | bsd-3-clause |
alexgerst/yawgmoth | src/personalvars.py | 1 | 4209 | #This is a file for holding information specific to your server
#Only change lines that have comments to the right of them
# ---------------------------
# Startup Variables
# ---------------------------
#Where you saved your token file
def token_location():
return "/home/ec2-user/token.txt" #Where you saved the ... | mit |
wazeerzulfikar/scikit-learn | sklearn/cluster/mean_shift_.py | 9 | 15822 | """Mean shift clustering algorithm.
Mean shift clustering aims to discover *blobs* in a smooth density of
samples. It is a centroid based algorithm, which works by updating candidates
for centroids to be the mean of the points within a given region. These
candidates are then filtered in a post-processing stage to elim... | bsd-3-clause |
valexandersaulys/airbnb_kaggle_contest | prototype_alpha/randomForest_take1.py | 1 | 1339 | """
Take 1 on the RandomForest, predicting for country_destinations.
"""
import pandas as pd
from sklearn.cross_validation import train_test_split
training = pd.read_csv("protoAlpha_training.csv")
testing = pd.read_csv("protoAlpha_testing.csv")
X = training.iloc[:,1:-1]
y = training['country_destination']
x_train,x_... | gpl-2.0 |
louispotok/pandas | pandas/tests/io/parser/quoting.py | 18 | 5813 | # -*- coding: utf-8 -*-
"""
Tests that quoting specifications are properly handled
during parsing for all of the parsers defined in parsers.py
"""
import csv
import pandas.util.testing as tm
from pandas import DataFrame
from pandas.compat import PY3, StringIO, u
class QuotingTests(object):
def test_bad_quote_... | bsd-3-clause |
gmum/r2-learner | scripts/fit_triple.py | 2 | 1745 | #!/usr/bin/env python
import sys, os, time, traceback
from sklearn.grid_search import ParameterGrid
from multiprocessing import Pool
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from misc.experiment_utils import save_exp, get_exp_logger, shorten_params, exp_done
from r2 import *
from misc.data_api i... | mit |
followyourheart/SFrame | oss_src/unity/python/sframe/data_structures/sgraph.py | 9 | 58636 | """
.. warning:: This product is currently in a beta release. The API reference is
subject to change.
This package defines the GraphLab Create SGraph, Vertex, and Edge objects. The SGraph
is a directed graph, consisting of a set of Vertex objects and Edges that
connect pairs of Vertices. The methods in this module are... | bsd-3-clause |
jrbourbeau/cr-composition | notebooks/legacy/lightheavy/spectrum-analysis-xgboost.py | 1 | 27958 | #!/usr/bin/env python
from __future__ import division, print_function
from collections import defaultdict
import itertools
import numpy as np
from scipy import interp
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import seaborn.apionly as sns
from sklearn.metrics imp... | mit |
viekie/tensorflow-tutorial | chap03/word2vector.py | 1 | 3414 | #!/usr/bin/env python
# -*- coding: utf8 -*-
# Power by viekie2017-08-26 09:24:00
##
# @file word2vector.py
# @brief
# @author viekiedu@gmail.com
# @version 1.0
# @date 2017-08-26
import collections
import matplotlib
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from six.moves import xrang... | apache-2.0 |
phobson/wqio | wqio/hydro.py | 2 | 37198 | import warnings
import numpy
from matplotlib import pyplot
from matplotlib import dates
from matplotlib import gridspec
import seaborn
import pandas
from wqio import utils
from wqio import viz
from wqio import validate
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
SEC_... | bsd-3-clause |
381426068/MissionPlanner | Lib/site-packages/numpy/core/code_generators/ufunc_docstrings.py | 57 | 85797 | # Docstrings for generated ufuncs
docdict = {}
def get(name):
return docdict.get(name)
def add_newdoc(place, name, doc):
docdict['.'.join((place, name))] = doc
add_newdoc('numpy.core.umath', 'absolute',
"""
Calculate the absolute value element-wise.
Parameters
----------
x : array_like... | gpl-3.0 |
tensorflow/models | research/cognitive_planning/viz_active_vision_dataset_main.py | 5 | 13173 | # Copyright 2018 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 applicab... | apache-2.0 |
yanlend/scikit-learn | examples/linear_model/plot_sgd_loss_functions.py | 249 | 1095 | """
==========================
SGD: convex loss functions
==========================
A plot that compares the various convex loss functions supported by
:class:`sklearn.linear_model.SGDClassifier` .
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
def modified_huber_loss(y_true, y_pred):
z ... | bsd-3-clause |
NixaSoftware/CVis | venv/lib/python2.7/site-packages/pandas/tests/groupby/test_index_as_string.py | 1 | 3760 | import pytest
import pandas as pd
import numpy as np
from pandas.util.testing import assert_frame_equal, assert_series_equal
import pandas.util.testing as tm
@pytest.fixture(params=[['inner'], ['inner', 'outer']])
def frame(request):
levels = request.param
df = pd.DataFrame({'outer': ['a', 'a', 'a', 'b', 'b'... | apache-2.0 |
araichev/gtfstk | gtfstk/shapes.py | 1 | 8064 | """
Functions about shapes.
"""
from typing import Optional, List, Dict, TYPE_CHECKING
import pandas as pd
from pandas import DataFrame
import numpy as np
import utm
import shapely.geometry as sg
from . import constants as cs
from . import helpers as hp
# Help mypy but avoid circular imports
if TYPE_CHECKING:
fr... | mit |
Ziqi-Li/bknqgis | bokeh/bokeh/sampledata/airports.py | 15 | 1027 | """ The data in airports.json is a subset of US airports with field
elevations > 1500 meters. The query result was taken from
.. code-block:: none
http://services.nationalmap.gov/arcgis/rest/services/GlobalMap/GlobalMapWFS/MapServer/10/query
on October 15, 2015.
"""
from __future__ import absolute_import
from b... | gpl-2.0 |
radk0s/pathfinding | algorithm/graph.py | 1 | 2681 | from datetime import datetime
from cost import cost as costNorm
import dijkstra as d
import numpy as np
import matplotlib.pyplot as plt
import scipy.interpolate
import os
def cost(frm, to):
return costNorm(frm.lon, frm.lat, frm.ele, to.lon, to.lat, to.ele)
def graph_path(frm, to, res):
start_time = datetime.... | mit |
SummaLabs/DLS | app/backend-test/core_models/run03_test_train_model_on_dataset.py | 1 | 1751 | #!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
import app.backend.core.utils as dlsutils
import json
import skimage.io as io
import matplotlib.pyplot as plt
from keras.utils.visualize_util import plot as kplot
from app.backend.core.datasets.dbwatcher import DatasetsWatcher
from app.backend.core.models.f... | mit |
vortex-ape/scikit-learn | examples/linear_model/plot_sgd_weighted_samples.py | 65 | 1479 | """
=====================
SGD: Weighted samples
=====================
Plot decision function of a weighted dataset, where the size of points
is proportional to its weight.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import linear_model
# we create 20 points
np.random.seed(0)
X ... | bsd-3-clause |
Openergy/oplus | oplus/err.py | 1 | 7074 | import os
import pandas as pd
from . import CONF
class Err:
WARNING = "Warning"
FATAL = "Fatal"
SEVERE = "Severe"
CATEGORIES = (WARNING, FATAL, SEVERE)
def __init__(self, path):
if not os.path.isfile(path):
raise FileNotFoundError("No file at given path: '%s'." % path)
... | mpl-2.0 |
parloma/Prensilia | prensilia/Exp_OUTPUT_WINDOWS.py | 1 | 5782 | #Parameters: RF First Classification Layer - RF Second Classification Layer - Name of the volunteer
#Import required
import sys
from os import mkdir,sep,path
#import numpy as np
#from cv2 import *
#from hand_grabber import PyOpenNIHandGrabber
#from pose_recognizer import PyPoseRecognizer
import thread
import xml.etree... | apache-2.0 |
jlegendary/scikit-learn | examples/model_selection/grid_search_digits.py | 227 | 2665 | """
============================================================
Parameter estimation using grid search with cross-validation
============================================================
This examples shows how a classifier is optimized by cross-validation,
which is done using the :class:`sklearn.grid_search.GridSearc... | bsd-3-clause |
trela/qikify | qikify/controllers/SVM.py | 1 | 1804 | """Support Vector Machine implementation.
"""
from sklearn.grid_search import GridSearchCV
from sklearn.svm import SVC
from qikify.helpers import standardize
class SVM(object):
"""Support Vector Machine implementation.
"""
def __init__(self, grid_search = False):
"""Support Vector Machine implemen... | mit |
flightgong/scikit-learn | sklearn/ensemble/tests/test_partial_dependence.py | 44 | 7031 | """
Testing for the partial dependence module.
"""
import numpy as np
from numpy.testing import assert_array_equal
from sklearn.utils.testing import assert_raises
from sklearn.utils.testing import if_matplotlib
from sklearn.ensemble.partial_dependence import partial_dependence
from sklearn.ensemble.partial_dependence... | bsd-3-clause |
MadsJensen/agency_connectivity | phase_analysis_no_steps_x-freq.py | 1 | 3644 | # -*- coding: utf-8 -*-
"""
@author: mje
@emai: mads@cnru.dk
"""
import numpy as np
# import mne
import matplotlib.pyplot as plt
import pandas as pd
from itertools import combinations
from my_settings import *
plt.style.use("ggplot")
b_df = pd.read_csv(
"/Users/au194693/projects/agency_connectivity/data/behavio... | bsd-3-clause |
thjashin/tensorflow | tensorflow/contrib/learn/python/learn/dataframe/transforms/in_memory_source.py | 82 | 6157 | # 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 |
kmike/scikit-learn | sklearn/metrics/tests/test_score_objects.py | 4 | 3898 | import pickle
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_raises
from sklearn.metrics import f1_score, r2_score, auc_score, fbeta_score
from sklearn.metrics.cluster import adjusted_rand_score
from sklearn.metrics import SCORERS, Scorer
from sklearn.svm import LinearS... | bsd-3-clause |
mitocw/content-mit-latex2edx-demo | static/js/jsxgraph/server/fft.py | 2 | 4429 | from JXGServerModule import JXGServerModule
import numpy
import numpy.fft
import wave, struct, uuid
import os, subprocess
import StringIO, gzip, base64
import datetime, math, random
# Should be changed to something more persistent but must be writable by
# the webserver (usually user www-data)
#if not 'MPLCONFIGDIR' i... | mit |
maschwanden/boxsimu | tests/test_boxmodelsystem1.py | 1 | 13815 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 23 10:45:10 2016
@author: Mathias Aschwanden (mathias.aschwanden@gmail.com)
"""
import os
import unittest
from unittest import TestCase
import sys
import copy
import numpy as np
import datetime
from matplotlib import pyplot as plt
if not os.path.abspath(__file__ + "/... | mit |
akrherz/iem | scripts/climodat/assign_default_hour.py | 1 | 1500 | """Sample obs to see what our default times are."""
# Third party
import pandas as pd
from pandas.io.sql import read_sql
from pyiem.util import get_dbconn, logger
LOG = logger()
def main():
"""Go Main Go."""
df = read_sql(
"SELECT iemid, id, temp24_hour, precip24_hour from stations WHERE "
"... | mit |
james-nichols/dtrw | compartment_models/PBPK_test.py | 1 | 5547 | #!/usr/local/bin/python3
# Libraries are in parent directory
import sys
sys.path.append('../')
import math
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import pdb
from dtrw import *
class DTRW_PBPK(DTRW_compartment):
def __init__(self, X_inits, T, dT, V, Q, R, mu, Vmax, Km, g, g_T):
... | gpl-2.0 |
DSLituiev/scikit-learn | sklearn/metrics/tests/test_classification.py | 15 | 54365 | from __future__ import division, print_function
import numpy as np
from scipy import linalg
from functools import partial
from itertools import product
import warnings
from sklearn import datasets
from sklearn import svm
from sklearn.datasets import make_multilabel_classification
from sklearn.preprocessing import la... | bsd-3-clause |
fyffyt/scikit-learn | examples/linear_model/plot_sgd_weighted_samples.py | 344 | 1458 | """
=====================
SGD: Weighted samples
=====================
Plot decision function of a weighted dataset, where the size of points
is proportional to its weight.
"""
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
from sklearn import linear_model
# we create 20 points
np.random.seed(0)
X ... | bsd-3-clause |
ucsd-progsys/ml2 | learning/randomforest2.py | 2 | 3950 | import math
import os.path
import random
random.seed()
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import pandas as pd
import input_old
csvs2 = [f for f in os.listdir('ml2/data/fa15/op+context-count+type+size') if f.endswith('.csv')]
csvs = [f for f in os.listdir('... | bsd-3-clause |
HeraclesHX/scikit-learn | sklearn/lda.py | 72 | 17751 | """
Linear Discriminant Analysis (LDA)
"""
# Authors: Clemens Brunner
# Martin Billinger
# Matthieu Perrot
# Mathieu Blondel
# License: BSD 3-Clause
from __future__ import print_function
import warnings
import numpy as np
from scipy import linalg
from .externals.six import string_types
f... | bsd-3-clause |
sebastien-forestier/NIPS2016 | ros/nips2016/src/nips2016/learning/learning.py | 1 | 4188 |
import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
import time
import datetime
from core.supervisor import Supervisor
class Learning(object):
def __init__(self, config, n_motor_babbling=0, explo_noise=0.1, choice_eps=0.2, enable_hand=True, normalize_interests=True):
self.config... | gpl-3.0 |
jaak-s/macau | python/macau/test_macau.py | 1 | 10384 | import unittest
import numpy as np
import pandas as pd
import scipy.sparse
import macau
import itertools
class TestMacau(unittest.TestCase):
def test_bpmf(self):
Y = scipy.sparse.rand(10, 20, 0.2)
Y, Ytest = macau.make_train_test(Y, 0.5)
results = macau.bpmf(Y, Ytest = Ytest, num_latent = 4... | mit |
jesserobertson/pynoddy | pynoddy/experiment/SensitivityAnalysis.py | 2 | 12280 | from pynoddy.experiment import Experiment
import numpy as np
class SensitivityAnalysis(Experiment):
'''Sensitivity analysis experiments for kinematic models
Sensitivity analysis with methods from the SALib package:
https://github.com/jdherman/SALib
'''
#from SALib.sample import saltelli
... | gpl-2.0 |
blackecho/Deep-Learning-TensorFlow | yadlt/models/linear/logistic_regression.py | 2 | 3960 | """Softmax classifier implementation using Tensorflow."""
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from yadlt.core import Evaluation, Loss
from yadlt.core import SupervisedModel
from yadlt.utils import tf_utils, utilities
... | mit |
moutai/scikit-learn | sklearn/tree/export.py | 14 | 16020 | """
This module defines export functions for decision trees.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Dawe <noel@dawe.me>
# Satrajit Gosh <satrajit.ghosh@gmail.com>
# Trevor... | bsd-3-clause |
benjaminpope/whisky | kergain_sim.py | 2 | 11632 | import numpy as np
import matplotlib.pyplot as plt
import pysco
from pysco.core import *
import fitsio
from k2_epd_george import print_time
from time import time as clock
from old_diffract_tools import *
import pymultinest
from pysco.diffract_tools import shift_image_ft
from pysco.common_tasks import shift_image
from... | gpl-3.0 |
EclipseXuLu/DataHouse | DataHouse/tokendata/tokendata_fetcher.py | 1 | 4621 | import json
import time
from pprint import pprint
import pandas as pd
import requests
def precess_token_sales(json_str_path):
result = []
with open(json_str_path, mode='rt') as f:
json_obj = json.load(f)
index = 0
for _ in json_obj['data']:
print('*' * 100)
pr... | mit |
hdmetor/scikit-learn | examples/tree/plot_iris.py | 271 | 2186 | """
================================================================
Plot the decision surface of a decision tree on the iris dataset
================================================================
Plot the decision surface of a decision tree trained on pairs
of features of the iris dataset.
See :ref:`decision tree ... | bsd-3-clause |
peastman/msmbuilder | msmbuilder/project_templates/tica/tica-sample-coordinate-plot.py | 9 | 1174 | """Plot the result of sampling a tICA coordinate
{{header}}
"""
# ? include "plot_header.template"
# ? from "plot_macros.template" import xdg_open with context
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
from msmbuilder.io import load_trajs, load_generic
sns.set_style('ticks')
col... | lgpl-2.1 |
KarrLab/obj_model | obj_model/io.py | 1 | 96862 | """ Reading/writing schema objects to/from files
* Comma separated values (.csv)
* Excel (.xlsx)
* JavaScript Object Notation (.json)
* Tab separated values (.tsv)
* Yet Another Markup Language (.yaml, .yml)
:Author: Jonathan Karr <karr@mssm.edu>
:Author: Arthur Goldberg <Arthur.Goldberg@mssm.edu>
:Date: 2016-11-23
:... | mit |
ilo10/scikit-learn | examples/cluster/plot_kmeans_stability_low_dim_dense.py | 338 | 4324 | """
============================================================
Empirical evaluation of the impact of k-means initialization
============================================================
Evaluate the ability of k-means initializations strategies to make
the algorithm convergence robust as measured by the relative stan... | bsd-3-clause |
minesense/VisTrails | contrib/NumSciPy/ArrayPlot.py | 6 | 24193 | import core.modules
import core.modules.module_registry
from core.modules.vistrails_module import Module, ModuleError
from core.modules.basic_modules import PythonSource
from Array import *
from Matrix import *
import pylab
import matplotlib
import urllib
import random
class ArrayPlot(object):
namespace = 'numpy|... | bsd-3-clause |
SHDShim/pytheos | examples/6_p_scale_test_Dorogokupets2015_Pt.py | 1 | 1417 |
# coding: utf-8
# In[1]:
get_ipython().run_line_magic('cat', '0Source_Citation.txt')
# In[2]:
get_ipython().run_line_magic('matplotlib', 'inline')
# %matplotlib notebook # for interactive
# For high dpi displays.
# In[3]:
get_ipython().run_line_magic('config', "InlineBackend.figure_format = 'retina'")
# ... | apache-2.0 |
bibsian/database-development | poplerGUI/ui_logic_mainwindow.py | 1 | 11994 | #!/usr/bin/env python
from PyQt4 import QtGui, QtCore
from pandas import read_csv
import subprocess
import psutil
import time
import sys, os
from Views import ui_mainrefactor as mw
from poplerGUI import ui_logic_session as sesslogic
from poplerGUI import ui_logic_site as sitelogic
from poplerGUI import ui_logic_main as... | mit |
aurelieladier/openturns | python/doc/pyplots/UserDefinedCovarianceModel.py | 2 | 1077 | import openturns as ot
from math import exp
from matplotlib import pyplot as plt
from openturns.viewer import View
def C(s, t):
return exp(-4.0 * abs(s - t) / (1 + (s * s + t * t)))
N = 64
a = 4.0
#myMesh = ot.IntervalMesher([N]).build(ot.Interval(-a, a))
myMesh = ot.RegularGrid(-a, 2 * a / N, N + 1)
myCovarian... | lgpl-3.0 |
MTgeophysics/mtpy | mtpy/imaging/plotstations.py | 1 | 22452 | # -*- coding: utf-8 -*-
"""
===============
PlotStations
===============
Plots station locations in map view.
Created on Fri Jun 07 18:20:00 2013
@author: jpeacock-pr
"""
#==============================================================================
import matplotlib.pyplot as plt
import numpy as np
import os
im... | gpl-3.0 |
finfou/tushare | tushare/stock/reference.py | 2 | 25190 | # -*- coding:utf-8 -*-
"""
投资参考数据接口
Created on 2015/03/21
@author: Jimmy Liu
@group : waditu
@contact: jimmysoa@sina.cn
"""
from __future__ import division
from tushare.stock import cons as ct
from tushare.stock import ref_vars as rv
from tushare.util import dateu as dt
import pandas as pd
import time
i... | bsd-3-clause |
robbwagoner/airflow | airflow/hooks/base_hook.py | 5 | 1379 | import logging
import random
from airflow import settings
from airflow.models import Connection
from airflow.utils import AirflowException
class BaseHook(object):
"""
Abstract base class for hooks, hooks are meant as an interface to
interact with external systems. MySqlHook, HiveHook, PigHook return
... | apache-2.0 |
JT5D/scikit-learn | sklearn/tree/tree.py | 2 | 31720 | """
This module gathers tree-based methods, including decision, regression and
randomized trees. Single and multi-output problems are both handled.
"""
# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Brian Holt <bdholt1@gmail.com>
# Noel Da... | bsd-3-clause |
biocore/qiime | qiime/compare_categories.py | 15 | 7131 | #!/usr/bin/env python
from __future__ import division
__author__ = "Jai Ram Rideout"
__copyright__ = "Copyright 2012, The QIIME project"
__credits__ = ["Jai Ram Rideout", "Michael Dwan", "Logan Knecht",
"Damien Coy", "Levi McCracken"]
__license__ = "GPL"
__version__ = "1.9.1-dev"
__maintainer__ = "Jai R... | gpl-2.0 |
szrg/data-science-from-scratch | code/visualizing_data.py | 58 | 5116 | import matplotlib.pyplot as plt
from collections import Counter
def make_chart_simple_line_chart(plt):
years = [1950, 1960, 1970, 1980, 1990, 2000, 2010]
gdp = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]
# create a line chart, years on x-axis, gdp on y-axis
plt.plot(years, gdp, color='gr... | unlicense |
B3AU/waveTree | examples/cluster/plot_affinity_propagation.py | 12 | 2282 | """
=================================================
Demo of affinity propagation clustering algorithm
=================================================
Reference:
Brendan J. Frey and Delbert Dueck, "Clustering by Passing Messages
Between Data Points", Science Feb. 2007
"""
print(__doc__)
from sklearn.cluster impor... | bsd-3-clause |
ubccr/tacc_stats | analyze/process_pickles/aggregate_jobs.py | 1 | 2428 | #!/usr/bin/env python
import analyze_conf
import sys
import datetime, glob, job_stats, os, subprocess, time
import itertools, argparse
import matplotlib
if not 'matplotlib.pyplot' in sys.modules:
matplotlib.use('pdf')
import matplotlib.pyplot as plt
import numpy
import tspl, tspl_utils
import multiprocessing, functoo... | lgpl-2.1 |
benhamner/ASAP-AES | Benchmarks/length_benchmark.py | 2 | 3284 | #!/usr/bin/env python2.7
import re
from sklearn.ensemble import RandomForestRegressor
def add_essay_training(data, essay_set, essay, score):
if essay_set not in data:
data[essay_set] = {"essay":[],"score":[]}
data[essay_set]["essay"].append(essay)
data[essay_set]["score"].append(score)
def add_es... | bsd-2-clause |
joshua-cogliati-inl/raven | framework/SupervisedLearning/NDsplineRom.py | 1 | 4919 | # Copyright 2017 Battelle Energy Alliance, 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 t... | apache-2.0 |
verilylifesciences/site-selection-tool | bsst/plot.py | 1 | 13466 | # Copyright 2020 Verily Life Sciences LLC
#
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Functions for plotting incidence, recruitment, and events in the Baseline Site Selection Tool."""
from bsst... | bsd-3-clause |
vikhyat/dask | dask/dataframe/tests/test_dataframe.py | 1 | 90686 | from itertools import product
from datetime import datetime
from operator import getitem
from distutils.version import LooseVersion
import pandas as pd
import pandas.util.testing as tm
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
import dask
from dask.async import get_sync
from... | bsd-3-clause |
Barmaley-exe/scikit-learn | sklearn/qda.py | 21 | 7639 | """
Quadratic Discriminant Analysis
"""
# Author: Matthieu Perrot <matthieu.perrot@gmail.com>
#
# License: BSD 3 clause
import warnings
import numpy as np
from .base import BaseEstimator, ClassifierMixin
from .externals.six.moves import xrange
from .utils import check_array, check_X_y
from .utils.validation import ... | bsd-3-clause |
mattgiguere/scikit-learn | sklearn/ensemble/tests/test_bagging.py | 2 | 21999 | """
Testing for the bagging ensemble module (sklearn.ensemble.bagging).
"""
# Author: Gilles Louppe
# License: BSD 3 clause
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.te... | bsd-3-clause |
mojoboss/scikit-learn | examples/plot_multioutput_face_completion.py | 330 | 3019 | """
==============================================
Face completion with a multi-output estimators
==============================================
This example shows the use of multi-output estimator to complete images.
The goal is to predict the lower half of a face given its upper half.
The first column of images sho... | bsd-3-clause |
djgagne/scikit-learn | sklearn/linear_model/tests/test_base.py | 101 | 12205 | # 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 sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_equal
from sklearn.linear_model.... | bsd-3-clause |
liyu1990/sklearn | sklearn/model_selection/_validation.py | 4 | 35605 | """
The :mod:`sklearn.model_selection._validation` module includes classes and
functions to validate the model.
"""
# Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>,
# Gael Varoquaux <gael.varoquaux@normalesup.org>,
# Olivier Grisel <olivier.grisel@ensta.org>
# License: BSD 3 clause
from __... | bsd-3-clause |
birm/Elemental | python/lapack_like/spectral.py | 1 | 53459 | #
# Copyright (c) 2009-2015, Jack Poulson
# All rights reserved.
#
# This file is part of Elemental and is under the BSD 2-Clause License,
# which can be found in the LICENSE file in the root directory, or at
# http://opensource.org/licenses/BSD-2-Clause
#
from ..core import *
from ..blas_like import Copy, Entry... | bsd-3-clause |
ak681443/mana-deep | evaluation/allmods/mainfolder/eval.py | 1 | 4180 |
# coding: utf-8
# In[1]:
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, UpSampling2D
from keras.models import Model
from keras.callbacks import TensorBoard
from keras.models import model_from_json
from keras.models import load_model
from keras im... | apache-2.0 |
soft-matter/mr | doc/sphinxext/docscrape_sphinx.py | 4 | 7745 | import re
import inspect
import textwrap
import pydoc
import sphinx
from docscrape import NumpyDocString, FunctionDoc, ClassDoc
class SphinxDocString(NumpyDocString):
def __init__(self, docstring, config={}):
self.use_plots = config.get('use_plots', False)
NumpyDocString.__init__(self, docstring,... | gpl-3.0 |
michrawson/nyu_ml_lectures | notebooks/figures/plot_kneighbors_regularization.py | 25 | 1363 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsRegressor
def make_dataset(n_samples=100):
rnd = np.random.RandomState(42)
x = np.linspace(-3, 3, n_samples)
y_no_noise = np.sin(4 * x) + x
y = y_no_noise + rnd.normal(size=len(x))
return x, y
def plot_re... | cc0-1.0 |
arthurmensch/cogspaces | exps/reduce.py | 1 | 3396 | import os
from os.path import join
from typing import List, Union
import numpy as np
import pandas as pd
from joblib import Parallel, delayed, dump, load
from nilearn.input_data import NiftiMasker
from sklearn.utils import gen_batches
from cogspaces.datasets import fetch_mask, fetch_atlas_modl, \
fetch_contrasts,... | bsd-2-clause |
harshaneelhg/scikit-learn | sklearn/metrics/scorer.py | 211 | 13141 | """
The :mod:`sklearn.metrics.scorer` submodule implements a flexible
interface for model selection and evaluation using
arbitrary score functions.
A scorer object is a callable that can be passed to
:class:`sklearn.grid_search.GridSearchCV` or
:func:`sklearn.cross_validation.cross_val_score` as the ``scoring`` parame... | bsd-3-clause |
DES-SL/EasyLens | easylens/Data/image_analysis.py | 1 | 7851 | __author__ = 'sibirrer'
import numpy as np
import scipy.ndimage.interpolation as interp
import astropy.io.fits as pyfits
import pyextract.pysex as pysex
import easylens.util as util
class ImageAnalysis(object):
"""
class for analysis routines acting on a single image
"""
def __init__(self):
... | mit |
zimuxin/AliMusicPrediction | 阿里音乐流行趋势预测项目_Group13/AliMusicPrediction/music_prediction-master/features/song.py | 1 | 3785 | from matplotlib.legend_handler import HandlerLine2D
import numpy as np
import csv
import matplotlib.pyplot as plt
#--------stable-------------------
import os,sys
path = os.getcwd()
parent_path = os.path.dirname(path)
sys.path.append(parent_path)
import static_data as sd
CURRENT_PATH=sd.CURRENT_PATH
ARTIST_FOLDER=sd.AR... | mit |
lbishal/scikit-learn | examples/calibration/plot_compare_calibration.py | 241 | 5008 | """
========================================
Comparison of Calibration of Classifiers
========================================
Well calibrated classifiers are probabilistic classifiers for which the output
of the predict_proba method can be directly interpreted as a confidence level.
For instance a well calibrated (bi... | bsd-3-clause |
pixki/redesestocasticas | ctmc.py | 1 | 4299 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: Jairo Sánchez
# @Date: 2015-12-02 12:03:55
# @Last Modified by: Jairo Sánchez
# @Last Modified time: 2016-01-19 15:46:28
import numpy as np
from scipy import misc as sc
from scipy.stats import expon
import argparse
from mpl_toolkits.mplot3d import Axes3D
from... | gpl-2.0 |
alexisrosuel/PyEWA | pyewa/distributions.py | 1 | 1217 |
"""
EWA.prior
A collection of common distributions
"""
import numpy as np
import matplotlib.pyplot as plt
class Distribution:
def __init__(self, support=np.linspace(0, 1, 10), pdf=np.ones(shape=10)):
self.pdf = pdf
self.support = support
def update_pdf(self, pdf):
self.pdf = pdf
... | mit |
vshtanko/scikit-learn | examples/gaussian_process/gp_diabetes_dataset.py | 223 | 1976 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
========================================================================
Gaussian Processes regression: goodness-of-fit on the 'diabetes' dataset
========================================================================
In this example, we fit a Gaussian Process model onto... | bsd-3-clause |
murali-munna/scikit-learn | sklearn/feature_extraction/dict_vectorizer.py | 234 | 12267 | # Authors: Lars Buitinck
# Dan Blanchard <dblanchard@ets.org>
# License: BSD 3 clause
from array import array
from collections import Mapping
from operator import itemgetter
import numpy as np
import scipy.sparse as sp
from ..base import BaseEstimator, TransformerMixin
from ..externals import six
from ..ext... | bsd-3-clause |
marcusrehm/serenata-de-amor | rosie/rosie/chamber_of_deputies/tests/test_traveled_speeds_classifier.py | 2 | 3774 | from unittest import TestCase
import numpy as np
import pandas as pd
import sklearn
from numpy.testing import assert_array_equal
from rosie.chamber_of_deputies.classifiers.traveled_speeds_classifier import TraveledSpeedsClassifier
class TestTraveledSpeedsClassifier(TestCase):
def setUp(self):
self.data... | mit |
liberatorqjw/scikit-learn | sklearn/utils/arpack.py | 31 | 64776 | """
This contains a copy of the future version of
scipy.sparse.linalg.eigen.arpack.eigsh
It's an upgraded wrapper of the ARPACK library which
allows the use of shift-invert mode for symmetric matrices.
Find a few eigenvectors and eigenvalues of a matrix.
Uses ARPACK: http://www.caam.rice.edu/software/ARPACK/
"""
#... | bsd-3-clause |
ky822/nyu_ml_lectures | notebooks/figures/plot_interactive_tree.py | 20 | 2317 | 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 re
X, y = ma... | cc0-1.0 |
anshulgupta0803/music-genre-classification | code/CNN.py | 1 | 7256 |
# coding: utf-8
# In[ ]:
from __future__ import print_function
import tensorflow as tf
import numpy as np
from matplotlib import pyplot as plt
import os
from tflearn.data_utils import shuffle
class CNN(object):
def __init__(self, patch_size, num_filters_fist_layer, num_filters_second_layer,
siz... | apache-2.0 |
davidwaroquiers/pymatgen | pymatgen/analysis/diffraction/tests/test_tem.py | 5 | 11403 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
Unit tests for TEM calculator.
"""
import unittest
import numpy as np
import pandas as pd
import plotly.graph_objs as go
from pymatgen.analysis.diffraction.tem import TEMCalculator
from pymatgen.core.lat... | mit |
HarllanAndrye/nilmtk | nilmtk/feature_detectors/cluster.py | 6 | 5343 | from __future__ import print_function, division
import numpy as np
import pandas as pd
# Fix the seed for repeatability of experiments
SEED = 42
np.random.seed(SEED)
def cluster(X, max_num_clusters=3, exact_num_clusters=None):
'''Applies clustering on reduced data,
i.e. data where power is greater than th... | apache-2.0 |
QuLogic/iris | docs/iris/example_code/Meteorology/wind_speed.py | 11 | 2361 | """
Plotting wind direction using quiver
===========================================================
This example demonstrates using quiver to plot wind speed contours and wind
direction arrows from wind vector component input data. The vector components
are co-located in space in this case.
For the second plot, the ... | gpl-3.0 |
MartinSavc/scikit-learn | sklearn/utils/tests/test_class_weight.py | 140 | 11909 | import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import make_blobs
from sklearn.utils.class_weight import compute_class_weight
from sklearn.utils.class_weight import compute_sample_weight
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testin... | bsd-3-clause |
jesseengel/magenta | magenta/models/rl_tuner/rl_tuner.py | 2 | 81040 | # Copyright 2019 The Magenta 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 applicable law or agreed to in ... | apache-2.0 |
runt18/nupic | external/linux32/lib/python2.6/site-packages/matplotlib/projections/__init__.py | 1 | 2188 | from geo import AitoffAxes, HammerAxes, LambertAxes
from polar import PolarAxes
from matplotlib import axes
class ProjectionRegistry(object):
"""
Manages the set of projections available to the system.
"""
def __init__(self):
self._all_projection_types = {}
def register(self, *projections)... | agpl-3.0 |
anve8004/trading-with-python | historicDataDownloader/historicDataDownloader.py | 77 | 4526 | '''
Created on 4 aug. 2012
Copyright: Jev Kuznetsov
License: BSD
a module for downloading historic data from IB
'''
import ib
import pandas
from ib.ext.Contract import Contract
from ib.opt import ibConnection, message
from time import sleep
import tradingWithPython.lib.logger as logger
from pandas impor... | bsd-3-clause |
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