<s> from clickmodels . inference import * <EOL> from clickmodels . input_reader import InputReader <EOL> try : <EOL> from config import * <EOL> except : <EOL> from clickmodels . config_sample import * <EOL> if __name__ == '<STR_LIT:__main__>' : <EOL> if DEBUG : <EOL> DbnModel . testBackwardForward ( ) <EOL> allCombinations = [ ] <EOL> interestingValues = [ <NUM_LIT> , <NUM_LIT:1.0> ] <EOL> for g1 in interestingValues : <EOL> for g2 in interestingValues : <EOL> for g3 in interestingValues : <EOL> for g4 in interestingValues : <EOL> allCombinations . append ( ( g1 , g2 , g3 , g4 ) ) <EOL> readInput = InputReader ( MIN_DOCS_PER_QUERY , MAX_DOCS_PER_QUERY , <EOL> EXTENDED_LOG_FORMAT , SERP_SIZE , <EOL> TRAIN_FOR_METRIC , <EOL> discard_no_clicks = True ) <EOL> sessions = readInput ( sys . stdin ) <EOL> if TRAIN_FOR_METRIC and PRINT_EBU_STATS : <EOL> p_C_R_frac = defaultdict ( lambda : [ <NUM_LIT:0> , <NUM_LIT> ] ) <EOL> p_L_C_R_frac = defaultdict ( lambda : [ <NUM_LIT:0> , <NUM_LIT> ] ) <EOL> for s in sessions : <EOL> lastClickPos = max ( ( i for i , c in enumerate ( s . clicks ) if c != <NUM_LIT:0> ) ) <EOL> for i in xrange ( lastClickPos + <NUM_LIT:1> ) : <EOL> u = s . results [ i ] <EOL> if s . clicks [ i ] != <NUM_LIT:0> : <EOL> p_C_R_frac [ u ] [ <NUM_LIT:0> ] += <NUM_LIT:1> <EOL> if i == lastClickPos : <EOL> p_L_C_R_frac [ u ] [ <NUM_LIT:0> ] += <NUM_LIT:1> <EOL> p_L_C_R_frac [ u ] [ <NUM_LIT:1> ] += <NUM_LIT:1> <EOL> p_C_R_frac [ u ] [ <NUM_LIT:1> ] += <NUM_LIT:1> <EOL> for u in [ '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' ] : <EOL> print '<STR_LIT>' % ( u , float ( p_C_R_frac [ u ] [ <NUM_LIT:0> ] ) / p_C_R_frac [ u ] [ <NUM_LIT:1> ] , u , float ( p_L_C_R_frac [ u ] [ <NUM_LIT:0> ] ) / p_L_C_R_frac [ u ] [ <NUM_LIT:1> ] ) <EOL> if len ( sys . argv ) > <NUM_LIT:1> : <EOL> with open ( sys . argv [ <NUM_LIT:1> ] ) as test_clicks_file : <EOL> testSessions = readInput ( test_clicks_file ) <EOL> else : <EOL> testSessions = sessions <EOL> if TRANSFORM_LOG : <EOL> assert EXTENDED_LOG_FORMAT <EOL> sessions , testSessions = ( <EOL> [ x for x in ( InputReader . mergeExtraToSessionItem ( s , SERP_SIZE ) for s in ss ) if x ] for ss in [ sessions , testSessions ] <EOL> ) <EOL> else : <EOL> sessions , testSessions = ( <EOL> [ s for s in ss if InputReader . mergeExtraToSessionItem ( s , SERP_SIZE ) ] for ss in [ sessions , testSessions ] <EOL> ) <EOL> print '<STR_LIT>' % ( len ( sessions ) , len ( testSessions ) ) <EOL> print '<STR_LIT>' , len ( [ s for s in sessions if len ( s . results ) > SERP_SIZE + <NUM_LIT:1> ] ) <EOL> config = { <EOL> '<STR_LIT>' : readInput . current_query_id + <NUM_LIT:1> , <EOL> '<STR_LIT>' : MAX_ITERATIONS , <EOL> '<STR_LIT>' : DEBUG , <EOL> '<STR_LIT>' : PRETTY_LOG , <EOL> '<STR_LIT>' : MAX_DOCS_PER_QUERY , <EOL> '<STR_LIT>' : SERP_SIZE , <EOL> '<STR_LIT>' : TRANSFORM_LOG , <EOL> '<STR_LIT>' : QUERY_INDEPENDENT_PAGER , <EOL> '<STR_LIT>' : DEFAULT_REL <EOL> } <EOL> del readInput <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> baselineModel = ClickModel ( config = config ) <EOL> baselineModel . train ( sessions ) <EOL> print '<STR_LIT>' , baselineModel . test ( testSessions ) <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> sdbnModel = SimplifiedDbnModel ( config = config ) <EOL> sdbnModel . train ( sessions ) <EOL> if TRANSFORM_LOG : <EOL> print '<STR_LIT>' , sdbnModel . urlRelevances [ False ] [ <NUM_LIT:0> ] [ '<STR_LIT>' ] <EOL> print '<STR_LIT>' , sdbnModel . test ( testSessions ) <EOL> del sdbnModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> ubmModel = UbmModel ( config = config ) <EOL> ubmModel . train ( sessions ) <EOL> if TRAIN_FOR_METRIC : <EOL> print '<STR_LIT:\n>' . join ( [ '<STR_LIT>' % r for r in [ ( x , ubmModel . alpha [ False ] [ <NUM_LIT:0> ] [ x ] ) for x in [ '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' ] ] ] ) <EOL> for d in xrange ( MAX_DOCS_PER_QUERY ) : <EOL> for r in xrange ( MAX_DOCS_PER_QUERY ) : <EOL> print ( '<STR_LIT>' % ( ubmModel . gamma [ <NUM_LIT:0> ] [ r ] [ MAX_DOCS_PER_QUERY - <NUM_LIT:1> - d ] if r + d >= MAX_DOCS_PER_QUERY - <NUM_LIT:1> else <NUM_LIT:0> ) ) , <EOL> print <EOL> print '<STR_LIT>' , ubmModel . test ( testSessions ) <EOL> del ubmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> ubmModel = UbmModel ( ignoreIntents = False , ignoreLayout = False , config = config ) <EOL> ubmModel . train ( sessions ) <EOL> print '<STR_LIT>' , ubmModel . test ( testSessions ) <EOL> del ubmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> ebUbmModel = EbUbmModel ( config = config ) <EOL> ebUbmModel . train ( sessions ) <EOL> print '<STR_LIT>' , ebUbmModel . test ( testSessions ) <EOL> del ebUbmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> ebUbmModel = EbUbmModel ( ignoreIntents = False , ignoreLayout = False , config = config ) <EOL> ebUbmModel . train ( sessions ) <EOL> print '<STR_LIT>' , ebUbmModel . test ( testSessions ) <EOL> del ebUbmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> dcmModel = DcmModel ( config = config ) <EOL> dcmModel . train ( sessions ) <EOL> if TRAIN_FOR_METRIC : <EOL> print '<STR_LIT:\n>' . join ( [ '<STR_LIT>' % r for r in [ ( x , dcmModel . urlRelevances [ False ] [ <NUM_LIT:0> ] [ x ] ) for x in [ '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' , '<STR_LIT>' ] ] ] ) <EOL> print '<STR_LIT>' , dcmModel . gammas <EOL> print '<STR_LIT>' , dcmModel . test ( testSessions ) <EOL> del dcmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> dcmModel = DcmModel ( ignoreIntents = False , ignoreLayout = False , config = config ) <EOL> dcmModel . train ( sessions ) <EOL> print '<STR_LIT>' , dcmModel . test ( testSessions ) <EOL> del dcmModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> dbnModel = DbnModel ( ( <NUM_LIT> , <NUM_LIT> , <NUM_LIT> , <NUM_LIT> ) , config = config ) <EOL> dbnModel . train ( sessions ) <EOL> print '<STR_LIT>' , dbnModel . test ( testSessions ) <EOL> for session in testSessions : <EOL> print "<STR_LIT>" , dbnModel . get_model_relevances ( session ) <EOL> print "<STR_LIT>" , dbnModel . generate_clicks ( session ) <EOL> del dbnModel <EOL> if '<STR_LIT>' in USED_MODELS : <EOL> for gammas in allCombinations : <EOL> gc . collect ( ) <EOL> dbnModel = DbnModel ( gammas , ignoreIntents = False , ignoreLayout = False , config = config ) <EOL> dbnModel . train ( sessions ) <EOL> print '<STR_LIT>' % gammas , dbnModel . test ( testSessions ) </s>
