-- Copyright (c) 2016-present, Facebook, Inc.
-- All rights reserved.
--
-- This source code is licensed under the BSD-style license found in the
-- LICENSE file in the root directory of this source tree. An additional grant
-- of patent rights can be found in the PATENTS file in the same directory.
-----------------------------------------------------------------
-- Auto-generated by regenClassifiers
--
-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
-- @generated
-----------------------------------------------------------------
{-# LANGUAGE OverloadedStrings #-}
module Duckling.Ranking.Classifiers.DA_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -1.3217558399823195),
("hh:mm", -1.455287232606842), ("hour", -2.0149030205422647),
("minute", -1.0033021088637848)],
n = 13},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("Thursday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = -0.7974433001619848, unseen = -4.962844630259907,
likelihoods = HashMap.fromList [("", 0.0)], n = 141},
koData =
ClassData{prior = -0.5987087137267001, unseen = -5.159055299214529,
likelihoods = HashMap.fromList [("", 0.0)], n = 172}}),
("the day before yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("lunch",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> <part-of-day>",
Classifier{okData =
ClassData{prior = -0.5596157879354228, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("dayhour", -1.0986122886681098),
("tomorrowevening", -2.0149030205422647),
("tomorrowlunch", -2.0149030205422647),
("yesterdayevening", -2.0149030205422647),
("Mondaymorning", -2.0149030205422647)],
n = 4},
koData =
ClassData{prior = -0.8472978603872037, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("yearhour", -1.1786549963416462),
("year (latent)in|during the <part-of-day>",
-1.1786549963416462)],
n = 3}}),
("dd/mm",
Classifier{okData =
ClassData{prior = -0.2231435513142097,
unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = -1.6094379124341003,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("today",
Classifier{okData =
ClassData{prior = -0.2876820724517809,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -1.3862943611198906,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("at <time-of-day>",
Classifier{okData =
ClassData{prior = -0.2682639865946794, unseen = -4.718498871295094,
likelihoods =
HashMap.fromList
[("<time> timezone", -3.100092288878234),
("time-of-day (latent)", -1.2755429968271879),
("relative minutes after|past <integer> (hour-of-day)",
-3.6109179126442243),
("hh:mm", -2.001480000210124),
("<time-of-day> sharp", -3.6109179126442243),
("hour", -1.213022639845854), ("minute", -1.6650077635889111)],
n = 52},
koData =
ClassData{prior = -1.4469189829363254,
unseen = -3.6888794541139363,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.8303483020734304),
("hour", -0.8303483020734304)],
n = 16}}),
("absorption of , after named day",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.1354942159291497,
likelihoods =
HashMap.fromList
[("Wednesday", -2.3978952727983707),
("Saturday", -2.3978952727983707),
("Monday", -1.7047480922384253),
("Friday", -1.9924301646902063), ("day", -0.8938178760220964),
("Sunday", -2.3978952727983707)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("September",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("tonight",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("on <date>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("Thursday", -1.6817585740137264),
("Saturday", -3.068052935133617),
("Monday", -3.068052935133617),
("the <day-of-month> (non ordinal)", -2.662587827025453),
("<day-of-month>(ordinal) <named-month>", -1.8152899666382492),
("day", -0.8167611365271219),
("the <day-of-month> (ordinal)", -3.068052935133617)],
n = 18},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (0..19)",
Classifier{okData =
ClassData{prior = -0.13976194237515874,
unseen = -3.7376696182833684,
likelihoods = HashMap.fromList [("", 0.0)], n = 40},
koData =
ClassData{prior = -2.03688192726104, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
("between <time-of-day> and <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("minuteminute", -0.9808292530117262),
("hh:mmhh:mm", -0.9808292530117262)],
n = 2},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -0.9808292530117262),
("minutehour", -0.9808292530117262)],
n = 2}}),
("between <datetime> and <datetime> (interval)",
Classifier{okData =
ClassData{prior = -0.916290731874155, unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("minuteminute", -1.0986122886681098),
("hh:mmhh:mm", -1.0986122886681098)],
n = 2},
koData =
ClassData{prior = -0.5108256237659907,
unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -1.2992829841302609),
("minuteminute", -1.7047480922384253),
("minutehour", -1.2992829841302609),
("hh:mmintersect", -1.7047480922384253)],
n = 3}}),
("October",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods = HashMap.fromList [("", 0.0)], n = 13},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("month (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> more <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("integer (numeric)minute (grain)", -1.252762968495368),
("integer (0..19)minute (grain)", -1.252762968495368),
("minute", -0.8472978603872037)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> o'clock",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Wednesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("July",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = -0.10536051565782628,
unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -2.3025850929940455,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<ordinal> quarter",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -1.252762968495368),
("quarter", -0.8472978603872037),
("ordinals (first..31st)quarter (grain)", -1.252762968495368)],
n = 2},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -1.252762968495368),
("quarter", -0.8472978603872037),
("ordinals (first..31st)quarter (grain)", -1.252762968495368)],
n = 2}}),
("intersect",
Classifier{okData =
ClassData{prior = -0.44236966504361536,
unseen = -5.849324779946859,
likelihoods =
HashMap.fromList
[("<datetime> - <datetime> (interval)on <date>",
-4.054679305829669),
("Wednesday<named-month> <day-of-month> (non ordinal)",
-5.153291594497779),
("<time-of-day> - <time-of-day> (interval)on <date>",
-4.054679305829669),
("hourday", -5.153291594497779),
("dayhour", -2.901999795891284),
("daymonth", -3.361532125269724),
("monthyear", -3.073850052817943),
("Mondayon <date>", -5.153291594497779),
("intersecthh:mm", -5.153291594497779),
("Wednesdaynext <cycle>", -5.153291594497779),
("Marchyear", -4.747826486389615),
("intersect by \"of\", \"from\", \"'s\"year",
-4.747826486389615),
("Mondayintersect", -5.153291594497779),
("last <day-of-week> of <time>year", -4.747826486389615),
("todayat <time-of-day>", -4.747826486389615),
("Thursday<time> timezone", -3.900528626002411),
("dayday", -3.073850052817943),
("dd/mmat <time-of-day>", -4.237000862623624),
("the <day-of-month> (ordinal)February", -4.747826486389615),
("intersect by \",\"hh:mm", -4.237000862623624),
("Mondaythe <day-of-month> (non ordinal)", -5.153291594497779),
("Thursdaybetween <time-of-day> and <time-of-day> (interval)",
-5.153291594497779),
("dayyear", -3.2814894175961875),
("Thursdaybetween <datetime> and <datetime> (interval)",
-5.153291594497779),
("Thursdayat <time-of-day>", -4.237000862623624),
("tomorrow<time-of-day> sharp", -4.747826486389615),
("<day-of-month>(ordinal) <named-month>year",
-4.747826486389615),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
-4.054679305829669),
("Thursdayfrom <datetime> - <datetime> (interval)",
-4.747826486389615),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
-4.747826486389615),
("tomorrowuntil <time-of-day>", -4.747826486389615),
("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
-4.460144413937834),
("the <day-of-month> (ordinal)March", -4.237000862623624),
("after <time-of-day>at <time-of-day>", -4.747826486389615),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
-4.747826486389615),
("Mondaythe <day-of-month> (ordinal)", -5.153291594497779),
("tomorrowafter <time-of-day>", -4.747826486389615),
("from <time-of-day> - <time-of-day> (interval)on <date>",
-4.237000862623624),
("Sunday<day-of-month> (non ordinal) <named-month>",
-5.153291594497779),
("dayminute", -2.588342237036242),
("Tuesdaythis <time>", -4.460144413937834),
("from <datetime> - <datetime> (interval)on <date>",
-4.460144413937834),
("<ordinal> <cycle> of <time>year", -4.747826486389615),
("minuteday", -2.550601909053395),
("absorption of , after named dayintersect",
-5.153291594497779),
("Octoberyear", -3.543853682063679),
("yearhh:mm", -5.153291594497779),
("absorption of , after named dayintersect by \",\"",
-4.747826486389615),
("dd/mmyear", -4.747826486389615),
("Septemberyear", -4.237000862623624),
("at <time-of-day>on <date>", -5.153291594497779),
("between <time-of-day> and <time-of-day> (interval)on <date>",
-5.153291594497779),
("between <datetime> and <datetime> (interval)on <date>",
-5.153291594497779),
("dayweek", -4.054679305829669),
("weekyear", -4.237000862623624),
("hh:mmtomorrow", -4.460144413937834),
("Wednesdaythis <time>", -4.237000862623624),
("tomorrowat <time-of-day>", -3.900528626002411),
("at <time-of-day>tomorrow", -4.747826486389615),
("intersectFebruary", -5.153291594497779),
("last <cycle> of <time>year", -4.237000862623624),
("Mondaythis <time>", -5.153291594497779),
("<day-of-month> (non ordinal) <named-month>year",
-4.747826486389615),
("yearminute", -5.153291594497779)],
n = 133},
koData =
ClassData{prior = -1.0286537000611993, unseen = -5.43372200355424,
likelihoods =
HashMap.fromList
[("dayhour", -3.126760535960395),
("daymonth", -2.133508762950112),
("monthday", -3.8199077165203406),
("monthyear", -3.8199077165203406),
("Marchyear", -4.04305126783455),
("intersect by \"of\", \"from\", \"'s\"year",
-3.4834354798991276),
("Sundaythis <time>", -3.8199077165203406),
("absorption of , after named dayJuly", -4.330733340286331),
("dd/mmat <time-of-day>", -3.8199077165203406),
("hourhour", -3.4834354798991276),
("Thursdaybetween <time-of-day> and <time-of-day> (interval)",
-4.736198448394496),
("dayyear", -3.349904087274605),
("Thursdaybetween <datetime> and <datetime> (interval)",
-4.736198448394496),
("Thursdayat <time-of-day>", -3.2321210516182215),
("Thursdayhh:mm", -4.330733340286331),
("WednesdayFebruary", -4.736198448394496),
("Thursdayfrom <datetime> - <datetime> (interval)",
-4.330733340286331),
("in|during the <part-of-day>until <time-of-day>",
-4.330733340286331),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
-4.736198448394496),
("Aprilyear", -4.736198448394496),
("<named-month> <day-of-month> (non ordinal)August",
-3.8199077165203406),
("until <time-of-day>on <date>", -4.736198448394496),
("August<day-of-month> (non ordinal) <named-month>",
-3.8199077165203406),
("dayminute", -3.0314503561560704),
("Tuesdaythis <time>", -3.8199077165203406),
("minuteday", -3.2321210516182215),
("hh:mmon <date>", -3.349904087274605),
("Wednesdaythis <time>", -3.4834354798991276),
("absorption of , after named dayFebruary", -4.04305126783455),
("this <part-of-day>until <time-of-day>", -4.330733340286331),
("tomorrownoon", -4.736198448394496),
("this <time>until <time-of-day>", -4.330733340286331),
("Mondaythis <time>", -4.330733340286331)],
n = 74}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("daymonth", -1.7346010553881064),
("ordinals (first..31st)week (grain)October",
-1.7346010553881064),
("ordinals (first..31st)week (grain)intersect",
-1.7346010553881064),
("weekmonth", -1.2237754316221157),
("ordinals (first..31st)day (grain)October",
-1.7346010553881064)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("season",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("year (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -1.0296194171811581,
unseen = -3.0910424533583156,
likelihoods =
HashMap.fromList
[("minuteminute", -1.4350845252893227),
("time-of-day (latent)time-of-day (latent)",
-2.3513752571634776),
("hh:mmhh:mm", -1.4350845252893227),
("hourhour", -2.3513752571634776)],
n = 5},
koData =
ClassData{prior = -0.4418327522790392,
unseen = -3.4011973816621555,
likelihoods =
HashMap.fromList
[("yearhour", -2.6741486494265287),
("hh:mmtime-of-day (latent)", -1.7578579175523736),
("minuteminute", -1.9810014688665833),
("yearyear", -2.6741486494265287),
("year (latent)year (latent)", -2.6741486494265287),
("minutehour", -1.7578579175523736),
("hh:mmintersect", -1.9810014688665833),
("year (latent)time-of-day (latent)", -2.6741486494265287)],
n = 9}}),
("Saturday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.044522437723423,
likelihoods =
HashMap.fromList
[("week", -1.6094379124341003),
("month (grain)", -2.3025850929940455),
("year (grain)", -2.3025850929940455),
("week (grain)", -1.6094379124341003),
("quarter", -2.3025850929940455), ("year", -2.3025850929940455),
("month", -2.3025850929940455),
("quarter (grain)", -2.3025850929940455)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("number.number hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = -0.6061358035703156,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("minuteminute", -1.0986122886681098),
("time-of-day (latent)time-of-day (latent)",
-2.1972245773362196),
("hh:mmhh:mm", -1.0986122886681098),
("hourhour", -2.1972245773362196)],
n = 6},
koData =
ClassData{prior = -0.7884573603642702, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -0.9808292530117262),
("minutehour", -0.9808292530117262)],
n = 5}}),
("yyyy-mm-dd",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("year (latent)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -3.258096538021482,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.4462871026284195),
("integer (0..19)", -1.0216512475319814)],
n = 23}}),
("Monday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("dd/mm/yyyy",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> quarter <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)quarter (grain)year",
-1.252762968495368),
("quarteryear", -0.8472978603872037),
("ordinal (digits)quarter (grain)year", -1.252762968495368)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("after lunch",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hh:mm:ss",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the <cycle> after <time>",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("year (grain)christmas eve", -0.6931471805599453),
("yearday", -0.6931471805599453)],
n = 2}}),
("quarter to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("a pair",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = -0.5596157879354228,
unseen = -3.1354942159291497,
likelihoods =
HashMap.fromList
[("daymonth", -0.8938178760220964),
("ordinals (first..31st)TuesdayOctober", -1.9924301646902063),
("ordinals (first..31st)Tuesdayintersect", -1.9924301646902063),
("ordinals (first..31st)Wednesdayintersect",
-1.4816045409242156)],
n = 8},
koData =
ClassData{prior = -0.8472978603872037,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("daymonth", -0.9444616088408514),
("ordinals (first..31st)WednesdayOctober", -1.2809338454620642),
("ordinals (first..31st)TuesdaySeptember", -1.791759469228055)],
n = 6}}),
("the <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinals (first..31st)",
Classifier{okData =
ClassData{prior = -5.406722127027582e-2,
unseen = -2.995732273553991,
likelihoods = HashMap.fromList [("", 0.0)], n = 18},
koData =
ClassData{prior = -2.9444389791664407,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("April",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("week (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.332204510175204,
likelihoods = HashMap.fromList [("", 0.0)], n = 26},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
Classifier{okData =
ClassData{prior = -1.0986122886681098,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -0.40546510810816444,
unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = -1.9459101490553135,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("hour", -0.8472978603872037), ("evening", -1.252762968495368),
("morning", -1.252762968495368)],
n = 2},
koData =
ClassData{prior = -0.15415067982725836,
unseen = -3.332204510175204,
likelihoods =
HashMap.fromList
[("hour", -0.7308875085427924),
("morning", -0.7308875085427924)],
n = 12}}),
("christmas eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month>",
Classifier{okData =
ClassData{prior = -9.53101798043249e-2,
unseen = -3.258096538021482,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)March", -1.8325814637483102),
("ordinal (digits)February", -1.8325814637483102),
("month", -0.8209805520698302),
("ordinal (digits)March", -1.6094379124341003)],
n = 10},
koData =
ClassData{prior = -2.3978952727983707,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)April", -1.252762968495368),
("month", -1.252762968495368)],
n = 1}}),
("numbers prefix with -, negative or minus",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -3.4011973816621555,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 28}}),
("Friday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("in|during the <part-of-day>",
Classifier{okData =
ClassData{prior = -1.9459101490553135,
unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("afternoon", -1.3862943611198906),
("hour", -0.9808292530117262),
("evening", -1.3862943611198906)],
n = 2},
koData =
ClassData{prior = -0.15415067982725836,
unseen = -3.367295829986474,
likelihoods =
HashMap.fromList
[("hour", -0.7672551527136672),
("morning", -0.7672551527136672)],
n = 12}}),
("new year's eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<cycle> after <time>",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("year (grain)christmas eve", -0.6931471805599453),
("yearday", -0.6931471805599453)],
n = 2}}),
("<time> after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("Wednesday", -1.8718021769015913),
("Friday", -1.466337068793427), ("day", -1.1786549963416462),
("March", -1.8718021769015913), ("month", -1.8718021769015913)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("half an hour",
Classifier{okData =
ClassData{prior = -0.5108256237659907,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -0.916290731874155, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("the <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", -1.2039728043259361),
("ordinal (digits)", -0.35667494393873245)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("fractional number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
("Sunday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("afternoon",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<duration> from now",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("second", -1.4469189829363254), ("year", -2.1400661634962708),
("<integer> <unit-of-duration>", -1.041453874828161),
("a <unit-of-duration>", -2.1400661634962708),
("minute", -1.7346010553881064)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("February",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = -0.11778303565638351,
unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", -1.5686159179138452),
("year (grain)", -2.0794415416798357),
("week (grain)", -1.5686159179138452),
("day", -2.4849066497880004), ("quarter", -2.4849066497880004),
("year", -2.0794415416798357),
("quarter (grain)", -2.4849066497880004),
("day (grain)", -2.4849066497880004)],
n = 8},
koData =
ClassData{prior = -2.1972245773362196,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("day", -1.6094379124341003),
("day (grain)", -1.6094379124341003)],
n = 1}}),
("minute (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("about <time-of-day>",
Classifier{okData =
ClassData{prior = -0.8472978603872037,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.916290731874155),
("hour", -0.916290731874155)],
n = 3},
koData =
ClassData{prior = -0.5596157879354228,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -1.3862943611198906),
("hour", -1.3862943611198906),
("<hour-of-day> half (as relative minutes)",
-1.3862943611198906),
("minute", -1.3862943611198906)],
n = 4}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = -0.8903152454708944,
unseen = -3.7376696182833684,
likelihoods =
HashMap.fromList [("integer (numeric)", -2.469261259037152e-2)],
n = 39},
koData =
ClassData{prior = -0.5285252008653917, unseen = -4.07753744390572,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.27625337662815824),
("integer (0..19)", -1.4213856809311607)],
n = 56}}),
("year",
Classifier{okData =
ClassData{prior = -0.1431008436406733, unseen = -3.332204510175204,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 26},
koData =
ClassData{prior = -2.0149030205422647, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 4}}),
("last <day-of-week> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("daymonth", -0.8266785731844679),
("SundayMarch", -1.6739764335716716),
("MondayMarch", -1.6739764335716716),
("Sundayintersect", -1.6739764335716716)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = -0.5408064559779265, unseen = -4.74493212836325,
likelihoods =
HashMap.fromList
[("week", -2.538973871058276),
("integer (0..19)year (grain)", -3.349904087274605),
("integer (numeric)day (grain)", -2.9444389791664407),
("integer (0..19)hour (grain)", -4.04305126783455),
("second", -2.9444389791664407),
("integer (numeric)second (grain)", -4.04305126783455),
("a pairhour (grain)", -4.04305126783455),
("integer (numeric)year (grain)", -3.6375861597263857),
("day", -2.338303175596125), ("year", -2.9444389791664407),
("integer (numeric)week (grain)", -3.349904087274605),
("integer (0..19)month (grain)", -4.04305126783455),
("integer (0..19)second (grain)", -3.126760535960395),
("hour", -2.9444389791664407), ("month", -3.6375861597263857),
("integer (numeric)minute (grain)", -2.790288299339182),
("integer (0..19)minute (grain)", -2.9444389791664407),
("integer (numeric)month (grain)", -4.04305126783455),
("minute", -2.2512917986064953),
("integer (numeric)hour (grain)", -3.349904087274605),
("integer (0..19)day (grain)", -2.9444389791664407),
("integer (0..19)week (grain)", -2.9444389791664407)],
n = 46},
koData =
ClassData{prior = -0.8729402910005413, unseen = -4.48863636973214,
likelihoods =
HashMap.fromList
[("week", -2.6855773452501515),
("integer (0..19)year (grain)", -3.378724525810097),
("integer (numeric)day (grain)", -3.0910424533583156),
("integer (0..19)hour (grain)", -3.784189633918261),
("second", -2.867898902044106),
("integer (numeric)second (grain)", -3.378724525810097),
("integer (numeric)year (grain)", -3.0910424533583156),
("day", -2.6855773452501515), ("year", -2.6855773452501515),
("integer (numeric)week (grain)", -3.378724525810097),
("integer (0..19)month (grain)", -3.0910424533583156),
("integer (0..19)second (grain)", -3.378724525810097),
("hour", -2.6855773452501515), ("month", -2.6855773452501515),
("integer (numeric)minute (grain)", -3.378724525810097),
("integer (0..19)minute (grain)", -3.378724525810097),
("integer (numeric)month (grain)", -3.378724525810097),
("minute", -2.867898902044106),
("integer (numeric)hour (grain)", -2.867898902044106),
("integer (0..19)day (grain)", -3.378724525810097),
("integer (0..19)week (grain)", -3.0910424533583156)],
n = 33}}),
("<duration> after <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("a <unit-of-duration>christmas eve", -1.5040773967762742),
("yearday", -0.8109302162163288),
("<integer> <unit-of-duration>christmas eve",
-1.0986122886681098)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("relative minutes after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("hour", -0.6931471805599453),
("integer (numeric)time-of-day (latent)", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("a <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", -2.0794415416798357),
("year (grain)", -2.4849066497880004),
("second", -2.0794415416798357),
("week (grain)", -2.0794415416798357),
("day", -2.4849066497880004),
("minute (grain)", -2.4849066497880004),
("year", -2.4849066497880004),
("second (grain)", -2.0794415416798357),
("minute", -2.4849066497880004),
("day (grain)", -2.4849066497880004)],
n = 7},
koData =
ClassData{prior = -infinity, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \",\"",
Classifier{okData =
ClassData{prior = -0.1590646946296874, unseen = -4.51085950651685,
likelihoods =
HashMap.fromList
[("Wednesday<named-month> <day-of-month> (non ordinal)",
-3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)Friday",
-3.8066624897703196),
("Friday<named-month> <day-of-month> (non ordinal)",
-3.4011973816621555),
("at <time-of-day>Saturday", -3.8066624897703196),
("intersect by \",\"year", -3.8066624897703196),
("hh:mmintersect by \",\"", -3.8066624897703196),
("dayday", -2.1019143975318944),
("dayyear", -2.890371757896165),
("Saturday<day-of-month> (non ordinal) <named-month>",
-3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)intersect",
-3.8066624897703196),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
-3.4011973816621555),
("Fridayintersect", -3.8066624897703196),
("hh:mmintersect", -3.8066624897703196),
("intersect by \",\"intersect", -3.8066624897703196),
("hh:mmSaturday", -3.8066624897703196),
("at <time-of-day>intersect", -3.8066624897703196),
("Sunday<day-of-month> (non ordinal) <named-month>",
-3.8066624897703196),
("dayminute", -2.70805020110221),
("intersectyear", -3.8066624897703196),
("minuteday", -2.1019143975318944),
("hh:mmabsorption of , after named day", -3.8066624897703196),
("at <time-of-day>intersect by \",\"", -3.8066624897703196),
("at <time-of-day>absorption of , after named day",
-3.8066624897703196),
("intersectintersect", -3.8066624897703196),
("Fridayintersect by \",\"", -3.4011973816621555),
("Monday<named-month> <day-of-month> (non ordinal)",
-3.4011973816621555),
("Monday<day-of-month> (non ordinal) <named-month>",
-3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)year",
-3.4011973816621555)],
n = 29},
koData =
ClassData{prior = -1.916922612182061, unseen = -3.7612001156935624,
likelihoods =
HashMap.fromList
[("daymonth", -1.9459101490553135),
("FridayJuly", -2.639057329615259),
("WednesdayFebruary", -3.044522437723423),
("MondayFebruary", -2.639057329615259)],
n = 5}}),
("hh:mm",
Classifier{okData =
ClassData{prior = -1.7094433359300068e-2,
unseen = -4.0943445622221,
likelihoods = HashMap.fromList [("", 0.0)], n = 58},
koData =
ClassData{prior = -4.07753744390572, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("second (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> sharp",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -1.2992829841302609),
("time-of-day (latent)", -1.2992829841302609),
("hour", -0.7884573603642702)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \"of\", \"from\", \"'s\"",
Classifier{okData =
ClassData{prior = -0.8209805520698302,
unseen = -3.6375861597263857,
likelihoods =
HashMap.fromList
[("Sundaylast <cycle>", -2.917770732084279),
("daymonth", -1.6650077635889111),
("Wednesdayintersect", -2.512305623976115),
("Wednesdaynext <cycle>", -2.917770732084279),
("Tuesdaythis <cycle>", -2.917770732084279),
("WednesdayOctober", -2.512305623976115),
("Wednesdaythis <cycle>", -2.917770732084279),
("TuesdayOctober", -2.512305623976115),
("Mondaythis <cycle>", -2.917770732084279),
("dayweek", -1.8191584434161694)],
n = 11},
koData =
ClassData{prior = -0.579818495252942, unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("daymonth", -1.0531499145913523),
("TuesdaySeptember", -2.662587827025453),
("Wednesdayintersect", -2.662587827025453),
("WednesdayOctober", -2.662587827025453),
("SundayMarch", -2.662587827025453),
("MondayMarch", -2.662587827025453),
("Tuesdayintersect", -2.662587827025453),
("Sundayintersect", -2.662587827025453)],
n = 14}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.5553480614894135,
likelihoods =
HashMap.fromList
[("week", -1.580450375560848), ("day", -1.916922612182061),
("year", -2.4277482359480516),
("<integer> <unit-of-duration>", -0.8873031950009028),
("a <unit-of-duration>", -2.833213344056216),
("month", -2.4277482359480516)],
n = 14},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("last <time>",
Classifier{okData =
ClassData{prior = -2.751535313041949, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("day", -1.6739764335716716), ("Sunday", -2.0794415416798357),
("hour", -2.0794415416798357), ("Tuesday", -2.0794415416798357),
("week-end", -2.0794415416798357)],
n = 3},
koData =
ClassData{prior = -6.59579677917974e-2, unseen = -4.59511985013459,
likelihoods =
HashMap.fromList
[("year (latent)", -1.6405284995041316),
("Monday", -3.4863551900024623), ("day", -2.3877429013343523),
("Sunday", -3.4863551900024623),
("time-of-day (latent)", -1.6405284995041316),
("year", -1.6405284995041316),
("intersect by \"of\", \"from\", \"'s\"", -2.9755295662364714),
("hour", -1.6405284995041316)],
n = 44}}),
("March",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the day after tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("noon",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("until <time-of-day>",
Classifier{okData =
ClassData{prior = -0.25131442828090605,
unseen = -2.995732273553991,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -0.8649974374866046),
("hour", -0.8649974374866046)],
n = 7},
koData =
ClassData{prior = -1.5040773967762742,
unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("intersect", -1.5040773967762742),
("hh:mm", -1.5040773967762742),
("minute", -1.0986122886681098)],
n = 2}}),
("<integer> and an half hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.6931471805599453),
("integer (0..19)", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("after <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("day", -0.6931471805599453),
("<integer> <unit-of-duration>", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("evening",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("decimal number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("next <time>",
Classifier{okData =
ClassData{prior = -0.587786664902119, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("Wednesday", -2.1400661634962708),
("Monday", -2.1400661634962708), ("day", -1.2237754316221157),
("March", -2.1400661634962708), ("month", -2.1400661634962708),
("Tuesday", -1.7346010553881064)],
n = 5},
koData =
ClassData{prior = -0.8109302162163288, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("Wednesday", -2.0149030205422647),
("Friday", -1.6094379124341003), ("day", -1.3217558399823195),
("March", -2.0149030205422647), ("month", -2.0149030205422647)],
n = 4}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = -0.6931471805599453, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("week", -1.6739764335716716),
("month (grain)", -2.0794415416798357),
("year (grain)", -2.0794415416798357),
("week (grain)", -1.6739764335716716),
("year", -2.0794415416798357), ("month", -2.0794415416798357)],
n = 4},
koData =
ClassData{prior = -0.6931471805599453, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("week", -1.6739764335716716),
("week (grain)", -1.6739764335716716),
("day", -1.6739764335716716),
("day (grain)", -1.6739764335716716)],
n = 4}}),
("christmas",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("new year's day",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.912023005428146,
likelihoods =
HashMap.fromList
[("week", -2.793208009442517),
("integer (0..19)year (grain)", -3.1986731175506815),
("integer (numeric)day (grain)", -3.1986731175506815),
("integer (0..19)hour (grain)", -3.1986731175506815),
("second", -2.793208009442517),
("integer (numeric)second (grain)", -3.1986731175506815),
("integer (numeric)year (grain)", -3.1986731175506815),
("day", -2.793208009442517), ("year", -2.793208009442517),
("integer (numeric)week (grain)", -3.1986731175506815),
("integer (0..19)month (grain)", -3.1986731175506815),
("integer (0..19)second (grain)", -3.1986731175506815),
("hour", -2.793208009442517), ("month", -2.793208009442517),
("integer (numeric)minute (grain)", -3.1986731175506815),
("integer (0..19)minute (grain)", -3.1986731175506815),
("integer (numeric)month (grain)", -3.1986731175506815),
("minute", -2.793208009442517),
("integer (numeric)hour (grain)", -3.1986731175506815),
("integer (0..19)day (grain)", -3.1986731175506815),
("integer (0..19)week (grain)", -3.1986731175506815)],
n = 14},
koData =
ClassData{prior = -infinity, unseen = -3.0910424533583156,
likelihoods = HashMap.fromList [], n = 0}}),
("in <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.418840607796598,
likelihoods =
HashMap.fromList
[("week", -3.0204248861443626),
("<integer> more <unit-of-duration>", -3.3081069585961433),
("number.number hours", -3.713572066704308),
("second", -2.797281334830153), ("day", -2.6149597780361984),
("half an hour", -3.713572066704308),
("<integer> <unit-of-duration>", -1.2286654169163076),
("a <unit-of-duration>", -2.797281334830153),
("<integer> and an half hours", -3.3081069585961433),
("hour", -2.6149597780361984), ("minute", -1.4622802680978126),
("about <duration>", -3.3081069585961433)],
n = 35},
koData =
ClassData{prior = -infinity, unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -0.5436154465889815,
unseen = -3.8501476017100584,
likelihoods =
HashMap.fromList
[("minuteminute", -1.1895840668738362),
("hh:mmhh:mm", -1.1895840668738362),
("dayday", -2.03688192726104),
("<day-of-month> (non ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
-2.03688192726104)],
n = 18},
koData =
ClassData{prior = -0.8690378470236094,
unseen = -3.6109179126442243,
likelihoods =
HashMap.fromList
[("July<day-of-month> (non ordinal) <named-month>",
-2.890371757896165),
("monthday", -1.791759469228055),
("minuteminute", -1.6376087894007967),
("hh:mmhh:mm", -2.890371757896165),
("dayyear", -2.4849066497880004),
("hh:mmintersect", -1.791759469228055),
("August<day-of-month> (non ordinal) <named-month>",
-1.9740810260220096),
("dd/mmyear", -2.4849066497880004)],
n = 13}}),
("Tuesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = -0.7672551527136672,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("minuteminute", -0.7621400520468967),
("hh:mmhh:mm", -0.7621400520468967)],
n = 13},
koData =
ClassData{prior = -0.6241543090729939,
unseen = -3.5553480614894135,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -0.8183103235139514),
("minuteminute", -2.833213344056216),
("hh:mmhh:mm", -2.833213344056216),
("minutehour", -0.8183103235139514)],
n = 15}}),
("last n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.04305126783455,
likelihoods =
HashMap.fromList
[("week", -2.639057329615259),
("integer (0..19)year (grain)", -3.332204510175204),
("integer (numeric)day (grain)", -2.9267394020670396),
("second", -2.9267394020670396),
("integer (numeric)second (grain)", -3.332204510175204),
("integer (numeric)year (grain)", -2.9267394020670396),
("day", -2.639057329615259), ("year", -2.639057329615259),
("integer (numeric)week (grain)", -3.332204510175204),
("integer (0..19)month (grain)", -2.9267394020670396),
("integer (0..19)second (grain)", -3.332204510175204),
("hour", -2.9267394020670396), ("month", -2.639057329615259),
("integer (numeric)minute (grain)", -3.332204510175204),
("integer (0..19)minute (grain)", -3.332204510175204),
("integer (numeric)month (grain)", -3.332204510175204),
("minute", -2.9267394020670396),
("integer (numeric)hour (grain)", -2.9267394020670396),
("integer (0..19)day (grain)", -3.332204510175204),
("integer (0..19)week (grain)", -2.9267394020670396)],
n = 18},
koData =
ClassData{prior = -infinity, unseen = -3.044522437723423,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month> <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = -0.4418327522790392,
unseen = -3.1780538303479458,
likelihoods =
HashMap.fromList
[("Aprilinteger (numeric)", -2.4423470353692043),
("month", -0.832909122935104),
("Februaryinteger (numeric)", -1.3437347467010947),
("Julyinteger (numeric)", -1.749199854809259)],
n = 9},
koData =
ClassData{prior = -1.0296194171811581, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("Augustinteger (numeric)", -1.0986122886681098),
("Aprilinteger (numeric)", -2.0149030205422647),
("month", -0.916290731874155)],
n = 5}}),
("<day-of-month> (non ordinal) <named-month>",
Classifier{okData =
ClassData{prior = -0.15415067982725836,
unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("integer (numeric)September", -3.068052935133617),
("integer (numeric)April", -3.068052935133617),
("integer (numeric)August", -1.4586150226995167),
("integer (numeric)February", -2.374905754573672),
("month", -0.8167611365271219),
("integer (numeric)July", -2.662587827025453),
("integer (numeric)March", -2.662587827025453)],
n = 18},
koData =
ClassData{prior = -1.9459101490553135, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("month", -1.1786549963416462),
("integer (numeric)July", -1.1786549963416462)],
n = 3}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = -0.5596157879354228, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("Wednesday", -1.8718021769015913),
("Monday", -1.8718021769015913), ("day", -0.9555114450274363),
("Tuesday", -1.466337068793427)],
n = 4},
koData =
ClassData{prior = -0.8472978603872037,
unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("Wednesday", -1.7047480922384253),
("Friday", -1.2992829841302609), ("day", -1.0116009116784799)],
n = 3}}),
("<hour-of-day> half (as relative minutes)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("about <time-of-day>", -1.7346010553881064),
("time-of-day (latent)", -1.041453874828161),
("hour", -0.7537718023763802)],
n = 7}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = -8.701137698962981e-2,
unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = -2.4849066497880004,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("last <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.1354942159291497,
likelihoods =
HashMap.fromList
[("day (grain)October", -1.9924301646902063),
("daymonth", -1.4816045409242156),
("day (grain)intersect", -1.9924301646902063),
("weekmonth", -1.4816045409242156),
("week (grain)intersect", -1.9924301646902063),
("week (grain)September", -1.9924301646902063)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month> year",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)April", -1.6094379124341003),
("ordinals (first..31st)March", -1.6094379124341003),
("month", -0.916290731874155),
("ordinal (digits)March", -1.6094379124341003)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("morning",
Classifier{okData =
ClassData{prior = -1.9459101490553135,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -0.15415067982725836,
unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12}}),
("week-end",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("after <time-of-day>",
Classifier{okData =
ClassData{prior = -0.7537718023763802, unseen = -3.332204510175204,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -1.6863989535702288),
("intersect", -2.1972245773362196),
("tomorrow", -2.1972245773362196), ("day", -2.1972245773362196),
("hour", -1.349926716949016)],
n = 8},
koData =
ClassData{prior = -0.6359887667199967,
unseen = -3.4011973816621555,
likelihoods =
HashMap.fromList
[("this <part-of-day>", -2.268683541318364),
("christmas eve", -2.268683541318364),
("in|during the <part-of-day>", -2.268683541318364),
("day", -2.268683541318364), ("hh:mm", -2.6741486494265287),
("hour", -1.4213856809311607), ("minute", -2.6741486494265287),
("this <time>", -2.268683541318364)],
n = 9}}),
("day (grain)",
Classifier{okData =
ClassData{prior = -4.8790164169432056e-2,
unseen = -3.0910424533583156,
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
koData =
ClassData{prior = -3.044522437723423, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("July", -0.6931471805599453), ("month", -0.6931471805599453)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("about <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("half an hour", -0.6931471805599453),
("minute", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("this <time>",
Classifier{okData =
ClassData{prior = -1.3217558399823195, unseen = -3.871201010907891,
likelihoods =
HashMap.fromList
[("week", -2.2407096892759584), ("October", -2.751535313041949),
("intersect", -2.751535313041949),
("season", -2.2407096892759584),
("next <cycle>", -3.1570004211501135),
("day", -2.2407096892759584),
("this <cycle>", -2.463853240590168),
("hour", -2.2407096892759584), ("evening", -3.1570004211501135),
("month", -2.2407096892759584),
("morning", -3.1570004211501135),
("week-end", -2.751535313041949)],
n = 16},
koData =
ClassData{prior = -0.3101549283038396,
unseen = -4.6443908991413725,
likelihoods =
HashMap.fromList
[("September", -3.0252910757955354),
("October", -2.236833715431265),
("intersect", -2.069779630768099),
("time-of-day (latent)", -3.536116699561526),
("March", -3.0252910757955354), ("hour", -1.9266787871274258),
("month", -1.2007417837444896),
("morning", -2.069779630768099)],
n = 44}}),
("within <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("week", -0.6931471805599453),
("<integer> <unit-of-duration>", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("August",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}})]