<s> import os <EOL> from scrapy . contrib . exporter import JsonItemExporter <EOL> from scrapy . exceptions import DropItem <EOL> from sklearn . linear_model import LogisticRegression <EOL> from scrapy_sci . status import Status , Reader <EOL> from scrapy_sci . classifier import ClassifierFactory <EOL> class ClassifiersPipeline ( object ) : <EOL> def __init__ ( self ) : <EOL> self . status = Status ( ) <EOL> self . classifiers = [ ] <EOL> self . exporters = { } <EOL> for classifier in self . status . classifiers . keys ( ) : <EOL> CF = ClassifierFactory ( self . status . classifiers [ classifier ] ) <EOL> CF . create_data_set ( "<STR_LIT>" ) <EOL> lc = lc = CF . create_classifier ( LogisticRegression ( C = <NUM_LIT> ) , self . status . classifiers [ classifier ] [ '<STR_LIT>' ] ( ) ) <EOL> lc . fit ( ) <EOL> self . classifiers . append ( ( classifier , lc ) ) <EOL> self . classifiers = sorted ( self . classifiers , key = lambda a : a [ <NUM_LIT:1> ] . estimate_accuracy ( <NUM_LIT:5> , verbose = True ) ) <EOL> print "<STR_LIT>" . format ( self . classifiers [ <NUM_LIT:0> ] [ <NUM_LIT:0> ] ) <EOL> for classification in self . status . classifiers [ self . classifiers [ <NUM_LIT:0> ] [ <NUM_LIT:0> ] ] [ '<STR_LIT>' ] : <EOL> f = file ( "<STR_LIT>" . format ( classification ) , "<STR_LIT:wb>" ) <EOL> self . exporters [ classification ] = JsonItemExporter ( f ) <EOL> def process_item ( self , item , spider ) : <EOL> keep = True <EOL> for i , ( name , classifier ) in enumerate ( self . classifiers ) : <EOL> item_classification = classifier . classify ( item ) <EOL> if i == <NUM_LIT:0> : export_classification = item_classification <EOL> if self . status . classifiers [ name ] [ '<STR_LIT>' ] [ item_classification ] == False : <EOL> raise DropItem ( "<STR_LIT>" . format ( name ) ) <EOL> if keep == True : <EOL> self . exporters [ export_classification ] . export_item ( item ) </s>
