module Duckling.Ranking.Classifiers.NB_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("L\248rdag",
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}}),
("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.4350845252893227),
("<time-of-day> o'clock", 2.3513752571634776),
("hh:mm", 1.6582280766035324), ("hour", 1.6582280766035324),
("minute", 1.252762968495368)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.7546493803177391, unseen = 4.912654885736052,
likelihoods = HashMap.fromList [("", 0.0)], n = 134},
koData =
ClassData{prior = 0.6352093434537263, unseen = 5.030437921392435,
likelihoods = HashMap.fromList [("", 0.0)], n = 151}}),
("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}}),
("Father'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}}),
("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}}),
("S\248ndag",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
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),
("Mandagmorning", 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 = 0.2657031657330056, unseen = 4.605170185988091,
likelihoods =
HashMap.fromList
[("<time> timezone", 3.4965075614664802),
("time-of-day (latent)", 1.2278240201481159),
("relative minutes after|past <integer> (hour-of-day)",
3.4965075614664802),
("hh:mm", 2.030170492673053),
("<time-of-day> sharp", 3.4965075614664802),
("hour", 1.1611326456494435), ("minute", 1.7619065060783738)],
n = 46},
koData =
ClassData{prior = 1.455287232606842, unseen = 3.58351893845611,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.8472978603872037),
("hour", 0.8472978603872037)],
n = 14}}),
("absorption of , after named day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("L\248rdag", 2.3978952727983707),
("S\248ndag", 2.3978952727983707),
("Mandag", 1.7047480922384253), ("day", 0.8938178760220964),
("Onsdag", 2.3978952727983707),
("Fredag", 1.9924301646902063)],
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 = 0.3313571359544425, unseen = 4.219507705176107,
likelihoods =
HashMap.fromList
[("L\248rdag", 3.5115454388310208),
("on <date>", 3.5115454388310208),
("Mandag", 3.5115454388310208), ("Torsdag", 2.12525107771113),
("the <day-of-month> (non ordinal)", 3.1060803307228566),
("<day-of-month>(ordinal) <named-month>", 2.2587824703356527),
("day", 0.8373967894044921),
("the <day-of-month> (ordinal)", 3.5115454388310208),
("<day-of-month> (ordinal)", 1.9021075263969205)],
n = 28},
koData =
ClassData{prior = 1.2656663733312759,
unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("on <date>", 2.3978952727983707),
("time-of-day (latent)", 1.1939224684724346),
("hour", 1.0116009116784799)],
n = 11}}),
("integer (0..19)",
Classifier{okData =
ClassData{prior = 0.13005312824819779,
unseen = 3.6375861597263857,
likelihoods = HashMap.fromList [("", 0.0)], n = 36},
koData =
ClassData{prior = 2.1041341542702074,
unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
("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}}),
("month (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
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 = 1.9459101490553135,
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}}),
("Juli",
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}}),
("Last year",
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}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.4103550934023561, unseen = 5.877735781779639,
likelihoods =
HashMap.fromList
[("Onsdagthis <cycle>", 5.181783550292085),
("Torsdag<time> timezone", 4.48863636973214),
("<datetime> - <datetime> (interval)on <date>",
4.083171261623976),
("<time-of-day> - <time-of-day> (interval)on <date>",
4.083171261623976),
("hourday", 5.181783550292085), ("dayhour", 2.93049175168559),
("daymonth", 2.93049175168559),
("monthyear", 3.1023420086122493),
("Torsdagbetween <time-of-day> and <time-of-day> (interval)",
5.181783550292085),
("Mandagon <date>", 4.77631844218392),
("intersecthh:mm", 5.181783550292085),
("Torsdagbetween <datetime> and <datetime> (interval)",
5.181783550292085),
("Torsdagat <time-of-day>", 4.77631844218392),
("on <date>Februar", 4.77631844218392),
("Marsyear", 4.77631844218392),
("intersect by \"of\", \"from\", \"'s\"year",
4.77631844218392),
("Oktoberyear", 3.572345637857985),
("Torsdagfrom <time-of-day> - <time-of-day> (interval)",
4.77631844218392),
("Torsdagfrom <datetime> - <datetime> (interval)",
4.77631844218392),
("Mandagintersect", 4.77631844218392),
("last <day-of-week> of <time>year", 4.77631844218392),
("intersectFebruar", 4.77631844218392),
("todayat <time-of-day>", 4.77631844218392),
("dayday", 3.0417173867958143),
("dd/mmat <time-of-day>", 4.26549281841793),
("intersect by \",\"hh:mm", 4.26549281841793),
("dayyear", 3.3099813733904937),
("tomorrow<time-of-day> sharp", 4.77631844218392),
("<day-of-month>(ordinal) <named-month>year",
4.77631844218392),
("Onsdag<named-month> <day-of-month> (non ordinal)",
5.181783550292085),
("Onsdagthis <time>", 4.48863636973214),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
4.083171261623976),
("tomorrowuntil <time-of-day>", 4.77631844218392),
("S\248ndag<day-of-month> (non ordinal) <named-month>",
5.181783550292085),
("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
4.48863636973214),
("the <day-of-month> (ordinal)Februar", 4.77631844218392),
("after <time-of-day>at <time-of-day>", 4.77631844218392),
("the <day-of-month> (ordinal)Mars", 4.26549281841793),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
4.77631844218392),
("Mandagthe <day-of-month> (ordinal)", 5.181783550292085),
("Mandagthis <cycle>", 5.181783550292085),
("Tirsdagthis <time>", 4.77631844218392),
("tomorrowafter <time-of-day>", 4.77631844218392),
("Tirsdagthis <cycle>", 5.181783550292085),
("from <time-of-day> - <time-of-day> (interval)on <date>",
4.26549281841793),
("dayminute", 2.8304082931286074),
("from <datetime> - <datetime> (interval)on <date>",
4.48863636973214),
("on <date>Mars", 4.26549281841793),
("<ordinal> <cycle> of <time>year", 4.77631844218392),
("minuteday", 2.5790938648477013),
("absorption of , after named dayintersect",
5.181783550292085),
("yearhh:mm", 5.181783550292085),
("Onsdagnext <cycle>", 5.181783550292085),
("absorption of , after named dayintersect by \",\"",
4.77631844218392),
("dd/mmyear", 4.77631844218392),
("Septemberyear", 4.26549281841793),
("at <time-of-day>on <date>", 5.181783550292085),
("between <time-of-day> and <time-of-day> (interval)on <date>",
5.181783550292085),
("between <datetime> and <datetime> (interval)on <date>",
5.181783550292085),
("dayweek", 4.083171261623976),
("weekyear", 4.26549281841793),
("hh:mmtomorrow", 4.48863636973214),
("tomorrowat <time-of-day>", 3.929020581796717),
("at <time-of-day>tomorrow", 4.77631844218392),
("last <cycle> of <time>year", 4.26549281841793),
("<day-of-month> (non ordinal) <named-month>year",
4.77631844218392),
("yearminute", 5.181783550292085)],
n = 136},
koData =
ClassData{prior = 1.0889034745411488, unseen = 5.407171771460119,
likelihoods =
HashMap.fromList
[("dayhour", 3.20545280453606), ("daymonth", 2.10684051586795),
("monthday", 3.7932394694381792),
("monthyear", 3.7932394694381792),
("Torsdagbetween <time-of-day> and <time-of-day> (interval)",
4.709530201312334),
("Mandagon <date>", 4.709530201312334),
("Torsdagbetween <datetime> and <datetime> (interval)",
4.709530201312334),
("Torsdagat <time-of-day>", 3.7932394694381792),
("absorption of , after named dayFebruar", 4.0163830207523885),
("Marsyear", 4.0163830207523885),
("intersect by \"of\", \"from\", \"'s\"year",
3.4567672328169663),
("Torsdagfrom <time-of-day> - <time-of-day> (interval)",
4.709530201312334),
("Torsdagfrom <datetime> - <datetime> (interval)",
4.709530201312334),
("OnsdagFebruar", 4.709530201312334),
("absorption of , after named dayJuli", 4.304065093204169),
("dd/mmat <time-of-day>", 3.7932394694381792),
("hourhour", 3.4567672328169663),
("dayyear", 3.4567672328169663),
("Onsdagthis <time>", 3.4567672328169663),
("in|during the <part-of-day>until <time-of-day>",
4.304065093204169),
("Aprilyear", 4.709530201312334),
("Tirsdagthis <time>", 3.7932394694381792),
("<named-month> <day-of-month> (non ordinal)August",
3.7932394694381792),
("until <time-of-day>on <date>", 4.709530201312334),
("August<day-of-month> (non ordinal) <named-month>",
3.7932394694381792),
("Torsdaghh:mm", 4.709530201312334),
("dayminute", 3.3232358401924436),
("minuteday", 3.20545280453606),
("hh:mmon <date>", 3.3232358401924436),
("this <part-of-day>until <time-of-day>", 4.304065093204169),
("S\248ndagthis <time>", 3.7932394694381792),
("tomorrownoon", 4.709530201312334),
("this <time>until <time-of-day>", 4.304065093204169),
("Mandagthis <time>", 4.304065093204169)],
n = 69}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("daymonth", 1.7346010553881064),
("ordinals (first..31st)day (grain)Oktober",
1.7346010553881064),
("ordinals (first..31st)week (grain)intersect",
1.7346010553881064),
("weekmonth", 1.2237754316221157),
("ordinals (first..31st)week (grain)Oktober",
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 = 2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.8754687373538999, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("minuteminute", 1.2237754316221157),
("time-of-day (latent)time-of-day (latent)",
2.1400661634962708),
("hh:mmhh:mm", 1.2237754316221157),
("hourhour", 2.1400661634962708)],
n = 5},
koData =
ClassData{prior = 0.5389965007326869,
unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 1.4350845252893227),
("minuteminute", 1.6582280766035324),
("minutehour", 1.4350845252893227),
("hh:mmintersect", 1.6582280766035324)],
n = 7}}),
("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 = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 3}}),
("Mandag",
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}}),
("Torsdag",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
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)TirsdagOktober", 1.9924301646902063),
("ordinals (first..31st)Onsdagintersect", 1.4816045409242156),
("ordinals (first..31st)Tirsdagintersect",
1.9924301646902063)],
n = 8},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("daymonth", 0.9444616088408514),
("ordinals (first..31st)OnsdagOktober", 1.2809338454620642),
("ordinals (first..31st)TirsdagSeptember", 1.791759469228055)],
n = 6}}),
("the <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinals (first..31st)",
Classifier{okData =
ClassData{prior = 5.129329438755058e-2,
unseen = 3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = 2.995732273553991, 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 = 3.367295829986474,
likelihoods = HashMap.fromList [("", 0.0)], n = 27},
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)Mars", 1.8325814637483102),
("month", 0.8209805520698302),
("ordinal (digits)Mars", 1.6094379124341003),
("ordinal (digits)Februar", 1.8325814637483102)],
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 = 3.2188758248682006,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 23}}),
("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 = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
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}}),
("Mother'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> after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("day", 1.1786549963416462), ("Mars", 1.8718021769015913),
("month", 1.8718021769015913), ("Onsdag", 1.8718021769015913),
("Fredag", 1.466337068793427)],
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 = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", 1.0116009116784799),
("ordinal (digits)", 0.45198512374305727)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
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>", 1.2237754316221157),
("a <unit-of-duration>", 1.7346010553881064),
("minute", 1.7346010553881064)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
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}}),
("christmas days",
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}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 0.9057086225436182, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList [("integer (numeric)", 2.5317807984289897e-2)],
n = 38},
koData =
ClassData{prior = 0.5179430915348547, 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),
("S\248ndagMars", 1.6739764335716716),
("S\248ndagintersect", 1.6739764335716716),
("MandagMars", 1.6739764335716716)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.579818495252942, unseen = 4.672828834461907,
likelihoods =
HashMap.fromList
[("week", 2.466214516775848),
("integer (0..19)year (grain)", 3.5648268054439574),
("integer (numeric)day (grain)", 2.871679624884012),
("integer (0..19)hour (grain)", 3.970291913552122),
("second", 3.2771447329921766),
("integer (numeric)second (grain)", 3.970291913552122),
("a pairhour (grain)", 3.970291913552122),
("integer (numeric)year (grain)", 3.5648268054439574),
("day", 2.2655438213136967), ("year", 3.054001181677967),
("integer (numeric)week (grain)", 3.2771447329921766),
("integer (0..19)month (grain)", 3.970291913552122),
("integer (0..19)second (grain)", 3.5648268054439574),
("hour", 2.871679624884012), ("month", 3.5648268054439574),
("integer (numeric)minute (grain)", 2.717528945056754),
("integer (0..19)minute (grain)", 3.054001181677967),
("integer (numeric)month (grain)", 3.970291913552122),
("minute", 2.2655438213136967),
("integer (numeric)hour (grain)", 3.2771447329921766),
("integer (0..19)day (grain)", 2.871679624884012),
("integer (0..19)week (grain)", 2.871679624884012)],
n = 42},
koData =
ClassData{prior = 0.8209805520698302, 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", 1.0986122886681098),
("yearday", 0.8109302162163288),
("<integer> <unit-of-duration>christmas eve",
1.5040773967762742)],
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}}),
("Oktober",
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}}),
("a <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("week", 2.367123614131617),
("year (grain)", 2.367123614131617),
("second", 1.8562979903656263),
("week (grain)", 2.367123614131617),
("day", 2.772588722239781),
("minute (grain)", 2.367123614131617),
("year", 2.367123614131617),
("second (grain)", 1.8562979903656263),
("minute", 2.367123614131617),
("day (grain)", 2.772588722239781)],
n = 11},
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
[("L\248rdag<day-of-month> (non ordinal) <named-month>",
3.8066624897703196),
("intersect by \",\"year", 3.8066624897703196),
("hh:mmintersect by \",\"", 3.8066624897703196),
("dayday", 2.1019143975318944),
("dayyear", 2.890371757896165),
("at <time-of-day>L\248rdag", 3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)intersect",
3.8066624897703196),
("hh:mmL\248rdag", 3.8066624897703196),
("Onsdag<named-month> <day-of-month> (non ordinal)",
3.8066624897703196),
("Fredagintersect by \",\"", 3.4011973816621555),
("S\248ndag<day-of-month> (non ordinal) <named-month>",
3.8066624897703196),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
3.4011973816621555),
("hh:mmintersect", 3.8066624897703196),
("intersect by \",\"intersect", 3.8066624897703196),
("at <time-of-day>intersect", 3.8066624897703196),
("dayminute", 2.70805020110221),
("intersectyear", 3.8066624897703196),
("minuteday", 2.1019143975318944),
("<named-month> <day-of-month> (non ordinal)Fredag",
3.8066624897703196),
("Fredag<named-month> <day-of-month> (non ordinal)",
3.4011973816621555),
("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),
("Fredagintersect", 3.8066624897703196),
("Mandag<named-month> <day-of-month> (non ordinal)",
3.4011973816621555),
("Mandag<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),
("OnsdagFebruar", 3.044522437723423),
("MandagFebruar", 2.639057329615259),
("FredagJuli", 2.639057329615259)],
n = 5}}),
("hh:mm",
Classifier{okData =
ClassData{prior = 2.197890671877523e-2,
unseen = 3.8501476017100584,
likelihoods = HashMap.fromList [("", 0.0)], n = 45},
koData =
ClassData{prior = 3.828641396489095, 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}}),
("Mars",
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}}),
("Februar",
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}}),
("intersect by \"of\", \"from\", \"'s\"",
Classifier{okData =
ClassData{prior = 1.0116009116784799, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("daymonth", 1.3862943611198906),
("OnsdagOktober", 2.2335922215070942),
("TirsdagOktober", 2.2335922215070942),
("S\248ndaglast <cycle>", 2.639057329615259),
("Onsdagintersect", 2.2335922215070942),
("Onsdagnext <cycle>", 2.639057329615259),
("dayweek", 2.2335922215070942)],
n = 8},
koData =
ClassData{prior = 0.45198512374305727,
unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("daymonth", 0.9808292530117262),
("OnsdagOktober", 2.5902671654458267),
("Tirsdagintersect", 2.5902671654458267),
("TirsdagSeptember", 2.5902671654458267),
("S\248ndagMars", 2.5902671654458267),
("S\248ndagintersect", 2.5902671654458267),
("Onsdagintersect", 2.5902671654458267),
("MandagMars", 2.5902671654458267)],
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 = 1.6739764335716716, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("S\248ndag", 1.8971199848858813),
("day", 1.3862943611198906), ("hour", 1.8971199848858813),
("Tirsdag", 1.8971199848858813),
("week-end", 1.8971199848858813)],
n = 6},
koData =
ClassData{prior = 0.2076393647782445, unseen = 4.110873864173311,
likelihoods =
HashMap.fromList
[("S\248ndag", 2.995732273553991),
("Mandag", 2.995732273553991), ("day", 1.8971199848858813),
("time-of-day (latent)", 1.1499055830556604),
("intersect by \"of\", \"from\", \"'s\"", 2.4849066497880004),
("hour", 1.1499055830556604)],
n = 26}}),
("<day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", 1.0116009116784799),
("ordinal (digits)", 0.45198512374305727)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
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 = 0.2876820724517809, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 0.8873031950009028),
("hour", 0.8873031950009028)],
n = 6},
koData =
ClassData{prior = 1.3862943611198906,
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 = 0.6931471805599453, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("Mandag", 2.0149030205422647), ("day", 1.3217558399823195),
("Mars", 2.0149030205422647), ("month", 2.0149030205422647),
("Onsdag", 2.0149030205422647),
("Tirsdag", 2.0149030205422647)],
n = 4},
koData =
ClassData{prior = 0.6931471805599453, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("day", 1.3217558399823195), ("Mars", 2.0149030205422647),
("month", 2.0149030205422647), ("Onsdag", 2.0149030205422647),
("Fredag", 1.6094379124341003)],
n = 4}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = 0.45198512374305727,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("week", 1.7047480922384253),
("month (grain)", 1.9924301646902063),
("year (grain)", 1.9924301646902063),
("week (grain)", 1.7047480922384253),
("year", 1.9924301646902063), ("month", 1.9924301646902063)],
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}}),
("Onsdag",
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}}),
("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}}),
("Fredag",
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 <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>", 1.3156767939059373),
("a <unit-of-duration>", 2.46080909820894),
("<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 = 0.6931471805599453,
unseen = 3.6109179126442243,
likelihoods =
HashMap.fromList
[("minuteminute", 1.3862943611198906),
("hh:mmhh:mm", 1.3862943611198906),
("dayday", 1.791759469228055),
("<day-of-month> (non ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
1.791759469228055)],
n = 13},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 3.6109179126442243,
likelihoods =
HashMap.fromList
[("Juli<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}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.8109302162163288, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("minuteminute", 0.7985076962177716),
("hh:mmhh:mm", 0.7985076962177716)],
n = 8},
koData =
ClassData{prior = 0.587786664902119, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 0.8754687373538999),
("minuteminute", 2.4849066497880004),
("hh:mmhh:mm", 2.4849066497880004),
("minutehour", 0.8754687373538999)],
n = 10}}),
("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
[("Februarinteger (numeric)", 1.3437347467010947),
("Aprilinteger (numeric)", 2.4423470353692043),
("month", 0.832909122935104),
("Juliinteger (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),
("month", 0.8167611365271219),
("integer (numeric)Juli", 2.662587827025453),
("integer (numeric)Februar", 2.374905754573672),
("integer (numeric)Mars", 2.662587827025453)],
n = 18},
koData =
ClassData{prior = 1.9459101490553135, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("month", 1.1786549963416462),
("integer (numeric)Juli", 1.1786549963416462)],
n = 3}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("Mandag", 1.7047480922384253), ("day", 1.0116009116784799),
("Onsdag", 1.7047480922384253),
("Tirsdag", 1.7047480922384253)],
n = 3},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("day", 1.0116009116784799), ("Onsdag", 1.7047480922384253),
("Fredag", 1.2992829841302609)],
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
[("daymonth", 1.4816045409242156),
("day (grain)intersect", 1.9924301646902063),
("weekmonth", 1.4816045409242156),
("day (grain)Oktober", 1.9924301646902063),
("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)Mars", 1.6094379124341003),
("month", 0.916290731874155),
("ordinal (digits)Mars", 1.6094379124341003)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("Tirsdag",
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}}),
("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 = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
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
[("Juli", 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 = 1.2443240998495033, unseen = 3.891820298110627,
likelihoods =
HashMap.fromList
[("week", 3.1780538303479458),
("intersect", 2.772588722239781),
("season", 2.2617630984737906),
("next <cycle>", 3.1780538303479458),
("day", 1.9252908618525775),
("christmas days", 2.772588722239781),
("Oktober", 2.772588722239781), ("hour", 1.9252908618525775),
("evening", 3.1780538303479458),
("month", 2.2617630984737906),
("morning", 3.1780538303479458),
("week-end", 2.2617630984737906)],
n = 17},
koData =
ClassData{prior = 0.3398678256223512, unseen = 4.59511985013459,
likelihoods =
HashMap.fromList
[("September", 2.9755295662364714),
("intersect", 2.020018121209035),
("Oktober", 2.187072205872201), ("Mars", 2.9755295662364714),
("hour", 2.020018121209035), ("month", 1.1509802741854256),
("morning", 2.020018121209035)],
n = 42}}),
("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}})]