class EvocCLI::Info
Public Instance Methods
dict()
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# File lib/evoc_cli/info.rb, line 23 def dict $stdout.puts " keyword description ------- ----------- case_id: user provided tag for the history used granularity: granularity of the history used scenario_id: a unique indentifier for this scenario tx_id: the sha of the commit that the query was sampled from tx_index: the index of this transaction in the used history (0 is oldest) tx_size: the number of items in the transaction query_size: the number of items in the query query_percentage: query_size/tx_size expected_outcome_size: |tx - query| model_size: number of previous transactions relative to this one model_hours: time span from the first transaction to this one model_age: number of transactions between end of model and this transaction max_size: transactions larger than this are filtered out before generating rules filtered_model_size: model size after the max_size filtering algorithm: the mining algorithm used to generate the recommendation aggregator: the aggregation function used to aggregate the rules of the recommendation measures: the interestingnessmeasures used to rank each rule recommendation_tag: a unique identifiter of the rules used as a basis for the recommendation time_rulegeneration: how long it took to generate the rules time_measurecalculation: how long it took to calculate the measures for each rule time_aggregation: how long it took to aggregate the rules number_of_baserules: number of rules before aggregation number_of_rules: number of rules after aggregation (equal to number_of_baserules when not aggregating) number_of_hyperrules: number of hyper rules after aggregating mean_hyper_coefficient: average number of rules aggregated in each hyper rule largest_antecedent: number of items in the largest antecedent (lhs of rule) t_ap: average precision where ties are accounted for ap: the average precision precision: ratio of correct to incorrect items precision10: ratio of correct to incorrect items in the top 10 recall: ratio of correct items in recommendation to full set of expected items recall19: ratio of correct items in recommendation to full set of expected items in the top 10 mean_confidence: the average confidence of the rules in this recommendation discernibility: the number of uniquely weighted rules to the number of rules applicable: 1 if rules were generated, 0 otherwise f1: the f1 measure first_relevant: the rank of the first correct item last_relevant: the rank of the last correct item " end
measure_range()
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# File lib/evoc_cli/info.rb, line 12 def measure_range $stdout.puts "measures,range" Evoc::InterestingnessMeasures.measures.sort.each do |m| min = Evoc::InterestingnessMeasures.get_min(m) max = Evoc::InterestingnessMeasures.get_max(m) range = "[#{min},#{max}]" $stdout.puts "#{m},\"#{range}\"" end end
measures()
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# File lib/evoc_cli/info.rb, line 7 def measures STDOUT.puts Evoc::InterestingnessMeasures.measures.map {|m| m.to_s.sub("m_","")}.join(" ") end