pjankiewicz

cd /tmp

wget http://cran.r-project.org/src/base/R-2/R-2.15.2.tar.gz
# You can download latest R version from CRAN
# Go to http://cran.r-project.org/
# or Go & choose what u want:- http://cran.r-project.org/src/base/

# Untar
tar -xzf R-2.15.2.tar.gz
cd R-2.15.2

pjankiewicz

def left_join(df1, df2, key, cols, lsuffix="", rsuffix="", default_value=None):
    if type(key) != list:
        key_left, key_right = key, key
    else:
        key_left, key_right = key[0], key[1]
        
    if type(cols) != list:
        cols = [cols,]
    
    ind = pd.match(df1[key], df2[key])

pjankiewicz

# -*- coding: utf-8 -*-
"""
Created on Thu Jun 26 13:00:02 2014

@author: pawel
"""

import multiprocessing as mp
import numpy as np
import logging

pjankiewicz

from textblob import TextBlob, Word

from features.skipgrams import EssaySkipgram
from features.essay_feature import EssayFeature, FunctionalTextEssayFeature, EssayTextConversion
from features.text_features import *
from features.word2vec_word_clusters import EssayTextToW2VClusters
from features.wiki_ngram_coverage import check_1gram_coverage, check_2gram_coverage, check_3gram_coverage
from features.convert_text_to_definitions import convert_text_to_definitions

#from features.word2vec_features import EssayWord2Vec, EssayWord2VecFirstWords

pjankiewicz

def model_generic(data, model_f, n_folds=10, feature_selection_f=None, feature_transform_f=None, save_as=None, make_predictions=False, standard_model=False):

    # save as
    if os.path.exists(save_as):
        print("Skipping",save_as)
        return None
    else:
        touch(save_as)

    nobs_tr = data["train"]["X"].shape[0]    

pjankiewicz

// adds ssh key to a server
cat ~/.ssh/id_rsa.pub | ssh -l root 1.1.1.1 'cat >> .ssh/authorized_keys'

pjankiewicz

// discards all changes to the code (without commiting)
git checkout -- .

pjankiewicz

'''
           DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
                   Version 2, December 2004

Copyright (C) 2004 Sam Hocevar <sam@hocevar.net>

Everyone is permitted to copy and distribute verbatim or modified
copies of this license document, and changing it is allowed as long
as the name is changed.

pjankiewicz

; this is a comment

; this is a double function
(defn doublen [x] (* x 2))

; basic collections (lists, vectors, maps)
(def a-list '(1 2 3))
(def a-vector [1 2 3])
(def a-map {:key1 val1 :key2 val2})

pjankiewicz

#dataX - variables
#datay - labels

rows = dataX.shape[0]

out_of_fold_predictions = zeros(rows) # this is our out of fold prediction vector

for tr, te in cross_validation(10):
    model = fit(dataX[tr,], datay[tr])