lorey

#
# This small example shows you how to access JS-based requests via Selenium
# Like this, one can access raw data for scraping, 
# for example on many JS-intensive/React-based websites
#

from time import sleep

from selenium import webdriver
from selenium.webdriver import DesiredCapabilities

rubinrot1

Изучение немецкого языка

FAQ
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rspeare

from sklearn import linear_model
import numpy as np
import scipy.stats as stat

class LogisticReg:
    """
    Wrapper Class for Logistic Regression which has the usual sklearn instance 
    in an attribute self.model, and pvalues, z scores and estimated 
    errors for each coefficient in 
    

romelgomez

import * as server from "./server";
new server.App

ahwillia

import numpy as np
import tensorflow as tf

# N, size of matrix. R, rank of data
N = 100
R = 5

# generate data
W_true = np.random.randn(N,R)
C_true = np.random.randn(R,N)

jsok

import StringIO
from selenium import webdriver
from PIL import Image
 
 
# Install instructions
#
# npm install phantomjs
# sudo apt-get install libjpeg-dev
# pip install selenium pillow

wting

Choices

1. Install ghc 7.6.3 and Haskell Platform
2. Install ghc 7.8.4 and Cabal

Option GHC 7.6.3 + Haskell Platform

GHC 7.6.3

Install Ubuntu 12.04 depencies:

peterk87

from scipy.spatial.distance import *
from scipy.cluster.hierarchy import *
import pandas as pd
import numpy
import matplotlib as plt
from matplotlib.pylab import figure
import pylab as pl
import pp

def num_clusters(hc, d):

pprett

"""Parallel grid search for sklearn's GradientBoosting.

This script uses IPython.parallel to run cross-validated
grid search on an IPython cluster. Each cell on the parameter grid
will be evaluated ``K`` times - results are stored in MongoDB.

The procedure tunes the number of trees ``n_estimators`` by averaging
the staged scores of the GBRT model averaged over all K folds.

You need an IPython ipcluster to connect to - for local use simply

dwf

"""
Parallelized k-means module.

By David Warde-Farley, February 2012. Licensed under the 3-clause BSD.
"""
cimport cython
from cython.parallel import prange
import numpy as np
cimport numpy as np
from numpy.random import normal