module Duckling.Ranking.Classifiers.KO (classifiers) where
import Prelude
import Duckling.Ranking.Types
import qualified Data.HashMap.Strict as HashMap
import Data.String
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("<time-of-day> am|pm", 1.3862943611198906),
("hh:mm", 1.3862943611198906), ("hour", 1.3862943611198906),
("minute", 1.3862943611198906)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.4267425065554492, unseen = 4.836281906951478,
likelihoods = HashMap.fromList [("", 0.0)], n = 124},
koData =
ClassData{prior = 1.0573693301340605, unseen = 4.219507705176107,
likelihoods = HashMap.fromList [("", 0.0)], n = 66}}),
("lunch",
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}}),
("intersect 2 numbers",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 1.3862943611198906,
likelihoods =
HashMap.fromList
[("compose by multiplicationinteger (21..99) - TYPE 2",
0.40546510810816444)],
n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.3862943611198906,
likelihoods =
HashMap.fromList
[("integer - TYPE 1: powers of teninteger (21..99) - TYPE 2",
0.40546510810816444)],
n = 1}}),
("<time> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.8472978603872037, unseen = 4.143134726391533,
likelihoods =
HashMap.fromList
[("dayhour", 1.1826954058786512),
("day-of-weekmorning", 3.4339872044851463),
("yesterdayevening|night", 3.4339872044851463),
("mm/ddafternoon", 3.4339872044851463),
("todayafternoon", 3.4339872044851463),
("dayevening|night", 3.4339872044851463),
("todayevening|night", 2.740840023925201),
("daymorning", 3.4339872044851463),
("intersectevening|night", 3.4339872044851463),
("next <cycle>evening|night", 3.028522096376982),
("tomorrowlunch", 3.4339872044851463),
("intersectmorning", 3.4339872044851463),
("the day before yesterday - \50634\44536\51228morning",
3.4339872044851463),
("tomorrowevening|night", 3.028522096376982),
("next <cycle>lunch", 3.4339872044851463)],
n = 18},
koData =
ClassData{prior = 0.5596157879354228, unseen = 4.31748811353631,
likelihoods =
HashMap.fromList
[("year (latent)lunch", 3.6109179126442243),
("dayhour", 1.8191584434161694),
("yearhour", 1.906169820405799),
("time-of-day (latent)evening|night", 3.6109179126442243),
("year (latent)evening|night", 2.512305623976115),
("hourhour", 2.917770732084279),
("time-of-day (latent)lunch", 3.6109179126442243),
("intersectafternoon", 2.10684051586795),
("year (latent)afternoon", 3.20545280453606),
("day-of-weekafternoon", 3.6109179126442243),
("next <cycle>evening|night", 3.6109179126442243),
("time-of-day (latent)afternoon", 3.6109179126442243),
("year (latent)morning", 3.20545280453606),
("tomorrowevening|night", 3.6109179126442243)],
n = 24}}),
("<time> nth <time> - 3\50900 \52395\51704 \54868\50836\51068",
Classifier{okData =
ClassData{prior = 0.6190392084062235, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("monthday", 0.7537718023763802),
("intersectordinals (\52395\48264\51704)day-of-week",
0.8873031950009028),
("monthordinals (\52395\48264\51704)day-of-week",
2.1400661634962708)],
n = 7},
koData =
ClassData{prior = 0.7731898882334817, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("monthday", 0.7621400520468967),
("monthordinals (\52395\48264\51704)day-of-week",
0.7621400520468967)],
n = 6}}),
("the day before yesterday - \50634\44536\51228",
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}}),
("today",
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}}),
("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}}),
("half - \48152",
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}}),
("month (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}}),
("<time> \47560\51648\47561 <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("intersectday-of-week", 1.5040773967762742),
("monthday", 0.8109302162163288),
("monthday-of-week", 1.0986122886681098)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("integer - TYPE 1",
Classifier{okData =
ClassData{prior = 1.8523840910444898, unseen = 3.258096538021482,
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
koData =
ClassData{prior = 0.17062551703076334,
unseen = 4.875197323201151,
likelihoods = HashMap.fromList [("", 0.0)], n = 129}}),
("fraction",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("integer (numeric)integer (numeric)", 0.6359887667199967),
("fractioninteger (numeric)", 1.4469189829363254),
("integer (numeric)fraction", 1.4469189829363254)],
n = 14}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = 1.241713132308783, unseen = 2.70805020110221,
likelihoods = HashMap.fromList [("", 0.0)], n = 13},
koData =
ClassData{prior = 0.3409265869705932,
unseen = 3.5263605246161616,
likelihoods = HashMap.fromList [("", 0.0)], n = 32}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.45983651189029134,
unseen = 5.958424693029782,
likelihoods =
HashMap.fromList
[("intersect<hour-of-day> <integer> (as relative minutes)",
5.262690188904886),
("intersectday-of-week", 4.164077900236776),
("year<time> \47560\51648\47561 <cycle>", 4.857225080796721),
("next <cycle>day-of-week", 4.3463994570307305),
("dayhour", 2.0240117367405053),
("monthday", 2.4294768448486694),
("yearhour", 3.5579420966664603),
("<time> <part-of-day>time-of-day", 4.3463994570307305),
("intersectam|pm <time-of-day>", 3.065465611568666),
("next <cycle><time-of-day> am|pm", 5.262690188904886),
("next <cycle>am|pm <time-of-day>", 4.857225080796721),
("yearintersect", 2.96010509591084),
("day-of-week<datetime> - <datetime> (interval)",
4.3463994570307305),
("day-of-week<time-of-day> - <time-of-day> (interval)",
4.3463994570307305),
("monthday with korean number - \51068\51068..\44396\51068",
5.262690188904886),
("dayday-of-week", 4.3463994570307305),
("this <cycle>day-of-week", 4.857225080796721),
("day-of-week<time> timezone", 5.262690188904886),
("monthhour", 3.5579420966664603),
("mm/ddam|pm <time-of-day>", 4.56954300834494),
("todayam|pm <time-of-day>", 4.56954300834494),
("the day before yesterday - \50634\44536\51228am|pm <time-of-day>",
4.3463994570307305),
("dayday", 3.653252276470785),
("hourhour", 3.7586127921286114),
("year<time> <ordinal> <cycle>", 5.262690188904886),
("month<datetime> - <datetime> (interval)", 4.857225080796721),
("dayam|pm <time-of-day>", 5.262690188904886),
("day-of-weekam|pm <time-of-day>", 4.56954300834494),
("time-of-dayafter <time-of-day>", 5.262690188904886),
("monthminute", 4.857225080796721),
("hourminute", 4.56954300834494),
("intersectday", 4.164077900236776),
("am|pm <time-of-day>after <time-of-day>", 5.262690188904886),
("last <cycle>day-of-week", 4.56954300834494),
("month<time> <part-of-day>", 4.857225080796721),
("yearmonth", 3.122624025408615),
("dayminute", 3.653252276470785),
("today<date>\50640", 5.262690188904886),
("mm/dd<date>\50640", 5.262690188904886),
("<hour-of-day> <integer> (as relative minutes)seconds",
5.262690188904886),
("<time> <part-of-day><date>\50640", 4.857225080796721),
("monthintersect", 3.653252276470785),
("year<time> \47560\51648\47561 <day-of-week>",
5.262690188904886),
("intersectintersect", 3.4709307196768306),
("weekday", 3.653252276470785),
("intersectday with korean number - \51068\51068..\44396\51068",
4.857225080796721),
("yearday", 3.4709307196768306),
("day-of-weekhh:mm", 4.857225080796721),
("yearweek", 4.857225080796721),
("minutesecond", 5.262690188904886),
("<time> <part-of-day><hour-of-day> <integer> (as relative minutes)",
4.857225080796721),
("tomorrow<time-of-day> am|pm", 5.262690188904886),
("tomorrowam|pm <time-of-day>", 4.857225080796721),
("dayintersect", 4.857225080796721),
("day-of-weektime-of-day", 5.262690188904886)],
n = 173},
koData =
ClassData{prior = 0.9980075895468108, unseen = 5.616771097666572,
likelihoods =
HashMap.fromList
[("year<time> \47560\51648\47561 <cycle>", 4.919980925828125),
("day-of-weekintersect", 4.919980925828125),
("dayhour", 2.2809235962128662),
("daymonth", 4.5145158177199605),
("monthday", 3.1282214566000697),
("yearhour", 3.2152328335897),
("<time> <part-of-day>time-of-day", 3.821368637160015),
("houryear", 4.22683374526818),
("day-of-weekafter <time-of-day>", 4.919980925828125),
("after <time-of-day>by <time> - \44620\51648",
4.919980925828125),
("intersectam|pm <time-of-day>", 4.5145158177199605),
("intersect<time> <part-of-day>", 4.00369019395397),
("yearintersect", 3.0481787489265337),
("day-of-week<time-of-day> - <time-of-day> (interval)",
4.00369019395397),
("intersectmonth", 4.919980925828125),
("time-of-day<duration> ago", 4.919980925828125),
("this <cycle>day-of-week", 4.5145158177199605),
("intersecttime-of-day", 4.5145158177199605),
("monthhour", 3.0481787489265337),
("intersectlast <time>", 4.919980925828125),
("dayday", 4.00369019395397),
("hourhour", 2.9740707767728116),
("month<datetime> - <datetime> (interval)", 4.00369019395397),
("dayam|pm <time-of-day>", 4.5145158177199605),
("day-of-weekam|pm <time-of-day>", 4.919980925828125),
("hourminute", 4.22683374526818),
("<time-of-day> - <time-of-day> (interval)last <time>",
4.00369019395397),
("intersectday", 4.5145158177199605),
("<datetime> - <datetime> (interval)day", 4.00369019395397),
("month<time> <part-of-day>", 4.5145158177199605),
("yearmonth", 4.5145158177199605),
("dayminute", 4.22683374526818),
("<hour-of-day> <integer> (as relative minutes)seconds",
4.22683374526818),
("<time> <part-of-day><date>\50640", 4.919980925828125),
("last <time>time-of-day", 4.919980925828125),
("monthintersect", 3.3105430133940246),
("hoursecond", 4.919980925828125),
("year<time> <part-of-day>", 4.5145158177199605),
("intersectintersect", 3.667217957332757),
("weekday", 4.5145158177199605),
("intersectday with korean number - \51068\51068..\44396\51068",
4.5145158177199605),
("day<time> <part-of-day>", 4.919980925828125),
("yearday", 3.821368637160015),
("day-of-weekhh:mm", 4.919980925828125),
("<time-of-day> - <time-of-day> (interval)time-of-day",
4.5145158177199605),
("intersectafter <time-of-day>", 3.415903529051851),
("minutesecond", 4.22683374526818),
("<time> <part-of-day><hour-of-day> <integer> (as relative minutes)",
4.5145158177199605),
("dayintersect", 4.919980925828125),
("mm/ddafter <time-of-day>", 4.919980925828125),
("todayafter <time-of-day>", 4.919980925828125)],
n = 101}}),
("season",
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 (grain)",
Classifier{okData =
ClassData{prior = 1.0608719606852628,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = 0.42488319396526597,
unseen = 2.9444389791664407,
likelihoods = HashMap.fromList [("", 0.0)], n = 17}}),
("next <cycle>",
Classifier{okData =
ClassData{prior = 0.12516314295400605,
unseen = 3.7612001156935624,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("month (grain)", 3.044522437723423),
("year (grain)", 3.044522437723423),
("week (grain)", 1.791759469228055),
("day", 1.791759469228055), ("quarter", 3.044522437723423),
("year", 3.044522437723423), ("month", 3.044522437723423),
("quarter (grain)", 3.044522437723423),
("day (grain)", 1.791759469228055)],
n = 15},
koData =
ClassData{prior = 2.1400661634962708, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("day", 2.0794415416798357),
("minute (grain)", 2.0794415416798357),
("minute", 2.0794415416798357),
("day (grain)", 2.0794415416798357)],
n = 2}}),
("this <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("day-of-week", 0.6931471805599453)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("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 = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.9315582040049435),
("integer - TYPE 1", 0.8574502318512216),
("integer (21..99) - TYPE 2", 2.803360380906535),
("integer (1..4) - for ordinals", 2.1102132003465894)],
n = 29}}),
("mm/dd/yyyy",
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}}),
("evening|night",
Classifier{okData =
ClassData{prior = 0.13353139262452263,
unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = 2.0794415416798357,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("Memorial 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}}),
("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}}),
("integer (20..90) - TYPE 2 and ordinals",
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}}),
("by <time> - \44620\51648",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("am|pm <time-of-day>", 1.252762968495368),
("time-of-day", 1.252762968495368),
("hour", 0.8472978603872037)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month>\50640",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("month", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (21..99) - TYPE 2",
Classifier{okData =
ClassData{prior = 0.587786664902119, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("integer (20..90) - TYPE 2 and ordinalsinteger (1..4) - for ordinals",
1.6094379124341003),
("integer - TYPE 1: powers of teninteger - TYPE 1",
1.2039728043259361),
("compose by multiplicationinteger - TYPE 1",
1.2039728043259361)],
n = 5},
koData =
ClassData{prior = 0.8109302162163288,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("integer (numeric)integer (numeric)", 1.5040773967762742),
("integer - TYPE 1: powers of teninteger - TYPE 1",
1.0986122886681098),
("integer (numeric)integer - TYPE 1", 1.5040773967762742)],
n = 4}}),
("Independence Movement 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}}),
("week (grain)",
Classifier{okData =
ClassData{prior = 0.17589066646366416,
unseen = 3.332204510175204,
likelihoods = HashMap.fromList [("", 0.0)], n = 26},
koData =
ClassData{prior = 1.824549292051046, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
("<year> <1..4>quarter",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("yearinteger (numeric)quarter (grain)", 0.6931471805599453),
("yearquarter", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
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}}),
("christmas eve",
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}}),
("Liberation 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}}),
("numbers prefix with -, \47560\51060\45320\49828, or \47560\51060\45208\49828",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 7}}),
("in|during the <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("afternoon", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 0.15415067982725836,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 1.9459101490553135,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("National Foundation 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}}),
("ordinals (\52395\48264\51704)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("integer (1..4) - for ordinals", 0.35667494393873245),
("integer (1..10) - TYPE 2", 1.2039728043259361)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("day",
Classifier{okData =
ClassData{prior = 0.2657031657330056, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("integer (numeric)", 8.338160893905101e-2),
("integer - TYPE 1", 2.5257286443082556)],
n = 23},
koData =
ClassData{prior = 1.455287232606842, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.25131442828090605),
("integer - TYPE 1", 1.5040773967762742)],
n = 7}}),
("half an hour",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("hour (grain)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 7}}),
("afternoon",
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}}),
("integer (1..4) - for ordinals",
Classifier{okData =
ClassData{prior = 3.7740327982847086e-2,
unseen = 3.332204510175204,
likelihoods = HashMap.fromList [("", 0.0)], n = 26},
koData =
ClassData{prior = 3.295836866004329, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<time> <ordinal> <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("monthordinals (\52395\48264\51704)week (grain)",
1.252762968495368),
("monthweek", 0.8472978603872037),
("intersectordinals (\52395\48264\51704)week (grain)",
1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = 0.5108256237659907, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("week", 1.3862943611198906),
("year (grain)", 2.3025850929940455),
("week (grain)", 1.3862943611198906),
("quarter", 2.3025850929940455), ("year", 2.3025850929940455),
("quarter (grain)", 2.3025850929940455)],
n = 6},
koData =
ClassData{prior = 0.916290731874155, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 1.3862943611198906),
("week (grain)", 1.3862943611198906),
("minute (grain)", 2.0794415416798357),
("minute", 2.0794415416798357)],
n = 4}}),
("minute (grain)",
Classifier{okData =
ClassData{prior = 0.6359887667199967,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = 0.7537718023763802,
unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8}}),
("about <time-of-day>",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.252762968495368),
("time-of-day", 1.252762968495368),
("hour", 0.8472978603872037)],
n = 2}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 1.3596261140377293, unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.6567795363890705),
("integer - TYPE 1", 2.6026896854443837),
("integer (1..4) - for ordinals", 1.6863989535702288),
("integer (1..10) - TYPE 2", 2.6026896854443837)],
n = 19},
koData =
ClassData{prior = 0.2967319079716989,
unseen = 4.1588830833596715,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.052092273033217),
("integer - TYPE 1", 0.924258901523332),
("integer (20..90) - TYPE 2 and ordinals", 3.4499875458315876),
("integer (21..99) - TYPE 2", 3.4499875458315876),
("integer (1..4) - for ordinals", 2.3513752571634776),
("integer - TYPE 1: powers of ten", 3.044522437723423),
("compose by multiplication", 3.4499875458315876)],
n = 55}}),
("year",
Classifier{okData =
ClassData{prior = 1.006804739414987, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.3677247801253174),
("intersect 2 numbers", 2.5649493574615367),
("integer (21..99) - TYPE 2", 2.5649493574615367)],
n = 19},
koData =
ClassData{prior = 0.4547361571149472, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.5533852381847867),
("intersect 2 numbers", 2.3025850929940455),
("integer - TYPE 1", 2.0794415416798357),
("fraction", 2.995732273553991),
("integer - TYPE 1: powers of ten", 2.5902671654458267),
("compose by multiplication", 2.995732273553991)],
n = 33}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 1.5955488002734333,
unseen = 4.5217885770490405,
likelihoods =
HashMap.fromList
[("week", 2.7191000372887952),
("integer - TYPE 1year (grain)", 3.41224721784874),
("integer (numeric)day (grain)", 2.5649493574615367),
("second", 3.817712325956905),
("integer - TYPE 1minute (grain)", 2.9014215940827497),
("integer (1..4) - for ordinalshour (grain)",
3.41224721784874),
("integer (numeric)second (grain)", 3.817712325956905),
("integer (numeric)year (grain)", 3.41224721784874),
("day", 2.5649493574615367), ("year", 2.9014215940827497),
("integer (numeric)week (grain)", 2.7191000372887952),
("hour", 2.3136349291806306),
("integer (numeric)minute (grain)", 3.817712325956905),
("few \47751hour (grain)", 2.9014215940827497),
("minute", 2.7191000372887952),
("integer (numeric)hour (grain)", 3.41224721784874)],
n = 29},
koData =
ClassData{prior = 0.22664618186541183,
unseen = 5.568344503761097,
likelihoods =
HashMap.fromList
[("week", 3.955082494888593),
("integer - TYPE 1quarter (grain)", 4.871373226762748),
("integer - TYPE 1day (grain)", 4.178226046202803),
("integer - TYPE 1year (grain)", 4.465908118654584),
("integer (numeric)day (grain)", 2.4290261913935436),
("intersect 2 numbersyear (grain)", 4.465908118654584),
("integer (numeric)quarter (grain)", 4.871373226762748),
("compose by multiplicationminute (grain)", 4.871373226762748),
("second", 3.7727609380946383),
("integer - TYPE 1minute (grain)", 3.7727609380946383),
("integer (1..4) - for ordinalsmonth (grain)",
4.465908118654584),
("integer (1..4) - for ordinalshour (grain)",
2.7313070632664775),
("integer (numeric)second (grain)", 4.871373226762748),
("integer (numeric)year (grain)", 2.6741486494265287),
("integer (21..99) - TYPE 2hour (grain)", 4.871373226762748),
("integer - TYPE 1week (grain)", 4.465908118654584),
("day", 2.3064238693012116), ("quarter", 4.465908118654584),
("year", 2.4290261913935436),
("integer (21..99) - TYPE 2minute (grain)", 4.178226046202803),
("integer (numeric)week (grain)", 4.465908118654584),
("integer (1..10) - TYPE 2hour (grain)", 4.871373226762748),
("hour", 1.900958761193047), ("month", 3.955082494888593),
("integer - TYPE 1second (grain)", 4.465908118654584),
("integer (numeric)minute (grain)", 3.955082494888593),
("integer (numeric)month (grain)", 4.465908118654584),
("integer (21..99) - TYPE 2year (grain)", 4.871373226762748),
("minute", 2.856470206220483),
("integer - TYPE 1: powers of tenminute (grain)",
4.871373226762748),
("integer (numeric)hour (grain)", 2.5199979695992702),
("integer (21..99) - TYPE 2second (grain)",
4.465908118654584)],
n = 114}}),
("<time-of-day> am|pm",
Classifier{okData =
ClassData{prior = 0.3746934494414107, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.6486586255873816),
("hh:mm", 1.1786549963416462), ("hour", 1.6486586255873816),
("minute", 1.1786549963416462)],
n = 11},
koData =
ClassData{prior = 1.1631508098056809, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.8472978603872037),
("hour", 0.8472978603872037)],
n = 5}}),
("a day - \54616\47336",
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}}),
("am|pm <time-of-day>",
Classifier{okData =
ClassData{prior = 0.23262229526875347,
unseen = 4.543294782270004,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.824549292051046),
("<date>\50640", 3.146305132033365),
("time-of-day", 1.536867219599265),
("hour", 0.8437200390393196),
("<time-of-day>\51060\51204", 3.4339872044851463),
("<hour-of-day> half (as relative minutes)",
3.8394523125933104),
("minute", 3.146305132033365),
("after <time-of-day>", 3.8394523125933104),
("<hour-of-day> <integer> (as relative minutes)",
3.4339872044851463)],
n = 42},
koData =
ClassData{prior = 1.5723966407537513,
unseen = 3.4657359027997265,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.2367626271489267),
("time-of-day", 2.0476928433652555),
("hour", 0.9490805546971459)],
n = 11}}),
("hh:mm",
Classifier{okData =
ClassData{prior = 4.445176257083381e-2,
unseen = 3.1780538303479458,
likelihoods = HashMap.fromList [("", 0.0)], n = 22},
koData =
ClassData{prior = 3.1354942159291497,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("integer - TYPE 1: powers of ten",
Classifier{okData =
ClassData{prior = 0.15415067982725836,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 1.9459101490553135,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("day with korean number - \51068\51068..\44396\51068",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("second (grain)",
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}}),
("Hangul 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}}),
("<integer> (hour-of-day) relative minutes \51204",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("hour", 0.916290731874155),
("time-of-dayinteger (21..99) - TYPE 2", 0.916290731874155)],
n = 1},
koData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("time-of-day (latent)integer - TYPE 1", 0.916290731874155),
("hour", 0.916290731874155)],
n = 1}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = 0.45198512374305727,
unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("week", 1.8971199848858813), ("day", 1.6094379124341003),
("year", 1.8971199848858813),
("<integer> <unit-of-duration>", 0.916290731874155)],
n = 7},
koData =
ClassData{prior = 1.0116009116784799, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", 1.0296194171811581),
("hour", 1.540445040947149), ("minute", 1.540445040947149)],
n = 4}}),
("Constitution 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}}),
("last <time>",
Classifier{okData =
ClassData{prior = 2.833213344056216, unseen = 3.1780538303479458,
likelihoods =
HashMap.fromList
[("day", 2.03688192726104), ("hour", 2.03688192726104),
("week-end", 2.03688192726104),
("day-of-week", 2.03688192726104)],
n = 4},
koData =
ClassData{prior = 6.0624621816434854e-2,
unseen = 4.969813299576001,
likelihoods =
HashMap.fromList
[("intersect", 3.8642323415917974),
("year (latent)", 1.967112356705916),
("second", 3.8642323415917974),
("time-of-day (latent)", 1.9183221925364844),
("year", 1.967112356705916),
("<duration> ago", 3.8642323415917974),
("time-of-day", 2.477937980471907),
("hour", 1.1786549963416462), ("seconds", 3.8642323415917974),
("<datetime> - <datetime> (interval)", 3.8642323415917974),
("<time-of-day>\51060\51204", 3.8642323415917974),
("<time-of-day> - <time-of-day> (interval)",
3.353406717825807)],
n = 64}}),
("<date>\50640",
Classifier{okData =
ClassData{prior = 7.410797215372185e-2,
unseen = 3.4657359027997265,
likelihoods =
HashMap.fromList
[("intersect", 1.824549292051046), ("day", 2.3353749158170367),
("am|pm <time-of-day>", 2.0476928433652555),
("<duration> ago", 2.740840023925201),
("time-of-day", 2.0476928433652555),
("hour", 1.0360919316867756), ("month", 2.740840023925201)],
n = 13},
koData =
ClassData{prior = 2.639057329615259, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("intersect", 1.5040773967762742),
("hour", 1.5040773967762742)],
n = 1}}),
("integer (1..10) - TYPE 2",
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}}),
("time-of-day",
Classifier{okData =
ClassData{prior = 0.5328045304847658,
unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.5753641449035618),
("integer (1..4) - for ordinals", 1.1631508098056809),
("integer (1..10) - TYPE 2", 2.772588722239781)],
n = 27},
koData =
ClassData{prior = 0.8842024173226546,
unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.3862943611198906),
("integer (21..99) - TYPE 2", 2.4849066497880004),
("integer (1..4) - for ordinals", 0.8754687373538999),
("few \47751", 1.5686159179138452)],
n = 19}}),
("noon",
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}}),
("<integer> and an half hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList [("integer (1..4) - for ordinals", 0.0)],
n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("after <duration>",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("day", 1.5040773967762742),
("<integer> <unit-of-duration>", 0.8109302162163288),
("hour", 1.0986122886681098)],
n = 3},
koData =
ClassData{prior = 1.3862943611198906, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", 0.916290731874155),
("hour", 0.916290731874155)],
n = 1}}),
("month",
Classifier{okData =
ClassData{prior = 5.5569851154810765e-2,
unseen = 3.6375861597263857,
likelihoods =
HashMap.fromList
[("integer (numeric)", 5.5569851154810765e-2),
("integer - TYPE 1", 2.917770732084279)],
n = 35},
koData =
ClassData{prior = 2.917770732084279, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList [("integer - TYPE 1", 0.2876820724517809)],
n = 2}}),
("midnight|EOD|end of 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 <time>",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 1.3862943611198906), ("month", 1.3862943611198906),
("day-of-week", 1.3862943611198906)],
n = 2},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("time-of-day", 1.252762968495368),
("hour", 1.252762968495368)],
n = 1}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = 0.45198512374305727,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("week", 1.2992829841302609),
("month (grain)", 2.3978952727983707),
("year (grain)", 2.3978952727983707),
("week (grain)", 1.2992829841302609),
("year", 2.3978952727983707), ("month", 2.3978952727983707)],
n = 7},
koData =
ClassData{prior = 1.0116009116784799, 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 = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("next n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("week", 2.367123614131617),
("integer - TYPE 1year (grain)", 2.772588722239781),
("integer - TYPE 1minute (grain)", 2.772588722239781),
("integer (1..4) - for ordinalsmonth (grain)",
2.772588722239781),
("integer (numeric)year (grain)", 2.772588722239781),
("integer - TYPE 1week (grain)", 2.772588722239781),
("year", 2.367123614131617),
("integer (numeric)week (grain)", 2.772588722239781),
("hour", 2.772588722239781), ("month", 2.367123614131617),
("integer (numeric)minute (grain)", 2.772588722239781),
("integer (numeric)month (grain)", 2.772588722239781),
("minute", 2.367123614131617),
("integer (numeric)hour (grain)", 2.772588722239781)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 2.70805020110221,
likelihoods = HashMap.fromList [], n = 0}}),
("seconds",
Classifier{okData =
ClassData{prior = 1.0986122886681098, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.916290731874155),
("integer (21..99) - TYPE 2", 0.916290731874155)],
n = 2},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.252762968495368),
("integer - TYPE 1", 0.8472978603872037),
("integer (21..99) - TYPE 2", 1.252762968495368)],
n = 4}}),
("<time> \47560\51648\47561 <cycle>",
Classifier{okData =
ClassData{prior = 0.40546510810816444, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("monthday", 1.540445040947149),
("monthday (grain)", 1.9459101490553135),
("monthweek", 1.540445040947149),
("intersectweek (grain)", 1.9459101490553135),
("intersectday (grain)", 1.9459101490553135),
("monthweek (grain)", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("monthday", 1.2039728043259361),
("monthday (grain)", 1.6094379124341003),
("intersectday (grain)", 1.6094379124341003)],
n = 2}}),
("in <duration>",
Classifier{okData =
ClassData{prior = 0.17589066646366416,
unseen = 4.1588830833596715,
likelihoods =
HashMap.fromList
[("week", 3.044522437723423), ("second", 3.4499875458315876),
("day", 2.5336968139574325), ("year", 3.044522437723423),
("<integer> <unit-of-duration>", 1.1986957472250923),
("a day - \54616\47336", 3.044522437723423),
("<integer> and an half hours", 2.3513752571634776),
("hour", 2.1972245773362196), ("minute", 1.6582280766035324),
("about <duration>", 3.4499875458315876)],
n = 26},
koData =
ClassData{prior = 1.824549292051046, unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("half an hour", 1.252762968495368),
("minute", 1.252762968495368)],
n = 5}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.46262352194811296,
unseen = 3.8501476017100584,
likelihoods =
HashMap.fromList
[("intersecthh:mm", 2.7300291078209855),
("intersectam|pm <time-of-day>", 2.7300291078209855),
("minuteminute", 1.749199854809259),
("hh:mmhh:mm", 2.03688192726104),
("dayday", 1.8827312474337816),
("hourhour", 2.2192034840549946),
("intersectday", 2.7300291078209855),
("am|pm <time-of-day>am|pm <time-of-day>", 2.7300291078209855),
("intersectintersect", 2.7300291078209855)],
n = 17},
koData =
ClassData{prior = 0.9932517730102834,
unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("daymonth", 1.8562979903656263),
("time-of-dayam|pm <time-of-day>", 2.367123614131617),
("intersectmonth", 2.367123614131617),
("dayday", 2.367123614131617),
("hourhour", 1.8562979903656263),
("last <time>am|pm <time-of-day>", 2.367123614131617),
("dayintersect", 2.367123614131617)],
n = 10}}),
("<time-of-day>\51060\51204",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("am|pm <time-of-day>", 1.540445040947149),
("time-of-day", 1.540445040947149),
("hour", 1.0296194171811581)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.791759469228055),
("hour", 1.791759469228055), ("minute", 1.3862943611198906),
("<hour-of-day> <integer> (as relative minutes)",
1.3862943611198906)],
n = 3}}),
("New Year's Day",
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}}),
("<1..4> quarter",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("integer - TYPE 1quarter (grain)", 0.916290731874155),
("quarter", 0.916290731874155)],
n = 1},
koData =
ClassData{prior = 0.6931471805599453, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("integer (numeric)quarter (grain)", 0.916290731874155),
("quarter", 0.916290731874155)],
n = 1}}),
("Children'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}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.9444616088408514, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("minuteminute", 1.4271163556401458),
("hh:mmhh:mm", 1.4271163556401458),
("hourhour", 2.120263536200091),
("am|pm <time-of-day>am|pm <time-of-day>", 2.120263536200091)],
n = 7},
koData =
ClassData{prior = 0.49247648509779407,
unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("time-of-dayam|pm <time-of-day>", 2.3978952727983707),
("time-of-daytime-of-day (latent)", 2.803360380906535),
("hh:mmtime-of-day (latent)", 1.7047480922384253),
("am|pm <time-of-day>time-of-day (latent)", 2.803360380906535),
("am|pm <time-of-day><time-of-day>\51060\51204",
2.803360380906535),
("hourhour", 1.550597412411167),
("time-of-day<time-of-day>\51060\51204", 2.803360380906535),
("minutehour", 1.7047480922384253)],
n = 11}}),
("last n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("week", 2.5902671654458267), ("second", 2.5902671654458267),
("integer - TYPE 1minute (grain)", 2.995732273553991),
("integer (1..4) - for ordinalsmonth (grain)",
2.995732273553991),
("integer (1..4) - for ordinalshour (grain)",
2.995732273553991),
("integer (numeric)second (grain)", 2.995732273553991),
("integer (21..99) - TYPE 2hour (grain)", 2.995732273553991),
("integer - TYPE 1week (grain)", 2.995732273553991),
("integer (numeric)week (grain)", 2.995732273553991),
("hour", 2.0794415416798357), ("month", 2.5902671654458267),
("integer - TYPE 1second (grain)", 2.995732273553991),
("integer (numeric)minute (grain)", 2.995732273553991),
("integer (numeric)month (grain)", 2.995732273553991),
("minute", 2.5902671654458267),
("integer (numeric)hour (grain)", 2.5902671654458267)],
n = 12},
koData =
ClassData{prior = infinity, unseen = 2.833213344056216,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> half (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("quarter (grain)",
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}}),
("morning",
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}}),
("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 = 1.5040773967762742, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("lunch", 1.8718021769015913),
("time-of-day (latent)", 1.8718021769015913),
("am|pm <time-of-day>", 1.8718021769015913),
("time-of-day", 1.8718021769015913),
("hour", 0.9555114450274363)],
n = 4},
koData =
ClassData{prior = 0.25131442828090605,
unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.7884573603642702),
("hour", 0.7884573603642702)],
n = 14}}),
("day (grain)",
Classifier{okData =
ClassData{prior = 1.1727202608218315, unseen = 2.70805020110221,
likelihoods = HashMap.fromList [("", 0.0)], n = 13},
koData =
ClassData{prior = 0.37037378829689427,
unseen = 3.4339872044851463,
likelihoods = HashMap.fromList [("", 0.0)], n = 29}}),
("the day after tomorrow - \45236\51068\47784\47112",
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}}),
("compose by multiplication",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("integer - TYPE 1integer - TYPE 1: powers of ten", 0.0)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("about <duration>",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("<integer> and an half hours", 1.0986122886681098),
("minute", 1.0986122886681098)],
n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", 1.0986122886681098),
("hour", 1.0986122886681098)],
n = 1}}),
("<hour-of-day> <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = 1.0986122886681098, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("time-of-daycompose by multiplication", 1.8718021769015913),
("time-of-dayinteger (numeric)", 1.8718021769015913),
("hour", 1.1786549963416462),
("time-of-dayinteger (21..99) - TYPE 2", 1.8718021769015913)],
n = 3},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 2.995732273553991,
likelihoods =
HashMap.fromList
[("time-of-day (latent)integer (21..99) - TYPE 2",
2.2512917986064953),
("time-of-day (latent)integer - TYPE 1", 1.55814461804655),
("time-of-day (latent)integer - TYPE 1: powers of ten",
2.2512917986064953),
("hour", 0.9985288301111273),
("time-of-dayinteger (21..99) - TYPE 2", 2.2512917986064953)],
n = 6}}),
("few \47751",
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}}),
("this <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("season", 1.466337068793427), ("day", 1.466337068793427),
("hour", 1.466337068793427), ("morning", 1.8718021769015913),
("week-end", 1.8718021769015913)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("day-of-week",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.713572066704308,
likelihoods = HashMap.fromList [("", 0.0)], n = 39},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("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}})]