module Duckling.Ranking.Classifiers.DA_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.2039728043259361),
("hh:mm", 1.6094379124341003), ("hour", 1.6094379124341003),
("minute", 1.2039728043259361)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("Thursday",
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}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.778087857209029, unseen = 4.962844630259907,
likelihoods = HashMap.fromList [("", 0.0)], n = 141},
koData =
ClassData{prior = 0.6148599592306538, unseen = 5.123963979403259,
likelihoods = HashMap.fromList [("", 0.0)], n = 166}}),
("the day before yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("lunch",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("dayhour", 1.0986122886681098),
("tomorrowevening", 2.0149030205422647),
("tomorrowlunch", 2.0149030205422647),
("yesterdayevening", 2.0149030205422647),
("Mondaymorning", 2.0149030205422647)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("yearhour", 1.1786549963416462),
("year (latent)in|during the <part-of-day>",
1.1786549963416462)],
n = 3}}),
("dd/mm",
Classifier{okData =
ClassData{prior = 0.2231435513142097,
unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = 1.6094379124341003,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("today",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = 1.3862943611198906,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("at <time-of-day>",
Classifier{okData =
ClassData{prior = 0.25593337413720063,
unseen = 4.6443908991413725,
likelihoods =
HashMap.fromList
[("<time> timezone", 3.536116699561526),
("time-of-day (latent)", 1.2007417837444896),
("relative minutes after|past <integer> (hour-of-day)",
3.536116699561526),
("hh:mm", 2.069779630768099),
("<time-of-day> sharp", 3.536116699561526),
("hour", 1.1382214267631554), ("minute", 1.8015156441734197)],
n = 48},
koData =
ClassData{prior = 1.488077055429833, 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
[("Wednesday", 2.3978952727983707),
("Saturday", 2.3978952727983707),
("Monday", 1.7047480922384253),
("Friday", 1.9924301646902063), ("day", 0.8938178760220964),
("Sunday", 2.3978952727983707)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("September",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("tonight",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("on <date>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.784189633918261,
likelihoods =
HashMap.fromList
[("Thursday", 1.6817585740137264),
("Saturday", 3.068052935133617),
("Monday", 3.068052935133617),
("the <day-of-month> (non ordinal)", 2.662587827025453),
("<day-of-month>(ordinal) <named-month>", 1.8152899666382492),
("day", 0.8167611365271219),
("the <day-of-month> (ordinal)", 3.068052935133617)],
n = 18},
koData =
ClassData{prior = infinity, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (0..19)",
Classifier{okData =
ClassData{prior = 0.13976194237515874,
unseen = 3.7376696182833684,
likelihoods = HashMap.fromList [("", 0.0)], n = 40},
koData =
ClassData{prior = 2.03688192726104, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
("between <time-of-day> and <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("minuteminute", 0.9808292530117262),
("hh:mmhh:mm", 0.9808292530117262)],
n = 2},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 0.9808292530117262),
("minutehour", 0.9808292530117262)],
n = 2}}),
("between <datetime> and <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.916290731874155, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("minuteminute", 1.0986122886681098),
("hh:mmhh:mm", 1.0986122886681098)],
n = 2},
koData =
ClassData{prior = 0.5108256237659907,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 1.2992829841302609),
("minuteminute", 1.7047480922384253),
("minutehour", 1.2992829841302609),
("hh:mmintersect", 1.7047480922384253)],
n = 3}}),
("October",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.70805020110221,
likelihoods = HashMap.fromList [("", 0.0)], n = 13},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("month (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> more <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("integer (numeric)minute (grain)", 1.252762968495368),
("integer (0..19)minute (grain)", 1.252762968495368),
("minute", 0.8472978603872037)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> o'clock",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Wednesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("July",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = 0.10536051565782628,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = 2.3025850929940455,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<ordinal> quarter",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", 1.252762968495368),
("quarter", 0.8472978603872037),
("ordinals (first..31st)quarter (grain)", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", 1.252762968495368),
("quarter", 0.8472978603872037),
("ordinals (first..31st)quarter (grain)", 1.252762968495368)],
n = 2}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.43117346481837143,
unseen = 5.820082930352362,
likelihoods =
HashMap.fromList
[("<datetime> - <datetime> (interval)on <date>",
4.02535169073515),
("Wednesday<named-month> <day-of-month> (non ordinal)",
5.123963979403259),
("<time-of-day> - <time-of-day> (interval)on <date>",
4.02535169073515),
("hourday", 5.123963979403259),
("dayhour", 2.872672180796764),
("daymonth", 3.332204510175204),
("monthyear", 3.044522437723423),
("Mondayon <date>", 5.123963979403259),
("intersecthh:mm", 5.123963979403259),
("Wednesdaynext <cycle>", 5.123963979403259),
("Marchyear", 4.718498871295094),
("intersect by \"of\", \"from\", \"'s\"year",
4.718498871295094),
("Mondayintersect", 5.123963979403259),
("last <day-of-week> of <time>year", 4.718498871295094),
("todayat <time-of-day>", 4.718498871295094),
("Thursday<time> timezone", 4.430816798843313),
("dayday", 3.044522437723423),
("dd/mmat <time-of-day>", 4.207673247529104),
("the <day-of-month> (ordinal)February", 4.718498871295094),
("intersect by \",\"hh:mm", 4.207673247529104),
("Mondaythe <day-of-month> (non ordinal)", 5.123963979403259),
("Thursdaybetween <time-of-day> and <time-of-day> (interval)",
5.123963979403259),
("dayyear", 3.2521618025016674),
("Thursdaybetween <datetime> and <datetime> (interval)",
5.123963979403259),
("Thursdayat <time-of-day>", 4.718498871295094),
("tomorrow<time-of-day> sharp", 4.718498871295094),
("<day-of-month>(ordinal) <named-month>year",
4.718498871295094),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
4.02535169073515),
("Thursdayfrom <datetime> - <datetime> (interval)",
4.718498871295094),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
4.718498871295094),
("tomorrowuntil <time-of-day>", 4.718498871295094),
("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
4.430816798843313),
("the <day-of-month> (ordinal)March", 4.207673247529104),
("after <time-of-day>at <time-of-day>", 4.718498871295094),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
4.718498871295094),
("Mondaythe <day-of-month> (ordinal)", 5.123963979403259),
("tomorrowafter <time-of-day>", 4.718498871295094),
("from <time-of-day> - <time-of-day> (interval)on <date>",
4.207673247529104),
("Sunday<day-of-month> (non ordinal) <named-month>",
5.123963979403259),
("dayminute", 2.772588722239781),
("Tuesdaythis <time>", 4.430816798843313),
("from <datetime> - <datetime> (interval)on <date>",
4.430816798843313),
("<ordinal> <cycle> of <time>year", 4.718498871295094),
("minuteday", 2.521274293958875),
("absorption of , after named dayintersect",
5.123963979403259),
("Octoberyear", 3.5145260669691587),
("yearhh:mm", 5.123963979403259),
("absorption of , after named dayintersect by \",\"",
4.718498871295094),
("dd/mmyear", 4.718498871295094),
("Septemberyear", 4.207673247529104),
("at <time-of-day>on <date>", 5.123963979403259),
("between <time-of-day> and <time-of-day> (interval)on <date>",
5.123963979403259),
("between <datetime> and <datetime> (interval)on <date>",
5.123963979403259),
("dayweek", 4.02535169073515),
("weekyear", 4.207673247529104),
("hh:mmtomorrow", 4.430816798843313),
("Wednesdaythis <time>", 4.207673247529104),
("tomorrowat <time-of-day>", 3.871201010907891),
("at <time-of-day>tomorrow", 4.718498871295094),
("intersectFebruary", 5.123963979403259),
("last <cycle> of <time>year", 4.207673247529104),
("Mondaythis <time>", 5.123963979403259),
("<day-of-month> (non ordinal) <named-month>year",
4.718498871295094),
("yearminute", 5.123963979403259)],
n = 128},
koData =
ClassData{prior = 1.049097224140729, unseen = 5.389071729816501,
likelihoods =
HashMap.fromList
[("dayhour", 3.305053521109253),
("daymonth", 2.0886581967847597),
("monthday", 3.775057150354989),
("monthyear", 3.775057150354989),
("Marchyear", 3.9982007016691985),
("intersect by \"of\", \"from\", \"'s\"year",
3.438584913733776),
("Sundaythis <time>", 3.775057150354989),
("absorption of , after named dayJuly", 4.285882774120979),
("dd/mmat <time-of-day>", 3.775057150354989),
("hourhour", 3.438584913733776),
("Thursdaybetween <time-of-day> and <time-of-day> (interval)",
4.6913478822291435),
("dayyear", 3.305053521109253),
("Thursdaybetween <datetime> and <datetime> (interval)",
4.6913478822291435),
("Thursdayat <time-of-day>", 3.775057150354989),
("Thursdayhh:mm", 4.6913478822291435),
("WednesdayFebruary", 4.6913478822291435),
("Thursdayfrom <datetime> - <datetime> (interval)",
4.285882774120979),
("in|during the <part-of-day>until <time-of-day>",
4.285882774120979),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
4.6913478822291435),
("Aprilyear", 4.6913478822291435),
("<named-month> <day-of-month> (non ordinal)August",
3.775057150354989),
("until <time-of-day>on <date>", 4.6913478822291435),
("August<day-of-month> (non ordinal) <named-month>",
3.775057150354989),
("dayminute", 3.305053521109253),
("Tuesdaythis <time>", 3.775057150354989),
("minuteday", 3.1872704854528697),
("hh:mmon <date>", 3.305053521109253),
("Wednesdaythis <time>", 3.438584913733776),
("absorption of , after named dayFebruary",
3.9982007016691985),
("this <part-of-day>until <time-of-day>", 4.285882774120979),
("tomorrownoon", 4.6913478822291435),
("this <time>until <time-of-day>", 4.285882774120979),
("Mondaythis <time>", 4.285882774120979)],
n = 69}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("daymonth", 1.7346010553881064),
("ordinals (first..31st)week (grain)October",
1.7346010553881064),
("ordinals (first..31st)week (grain)intersect",
1.7346010553881064),
("weekmonth", 1.2237754316221157),
("ordinals (first..31st)day (grain)October",
1.7346010553881064)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("season",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("year (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 1.0296194171811581,
unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("minuteminute", 1.4350845252893227),
("time-of-day (latent)time-of-day (latent)",
2.3513752571634776),
("hh:mmhh:mm", 1.4350845252893227),
("hourhour", 2.3513752571634776)],
n = 5},
koData =
ClassData{prior = 0.4418327522790392,
unseen = 3.4011973816621555,
likelihoods =
HashMap.fromList
[("yearhour", 2.6741486494265287),
("hh:mmtime-of-day (latent)", 1.7578579175523736),
("minuteminute", 1.9810014688665833),
("yearyear", 2.6741486494265287),
("year (latent)year (latent)", 2.6741486494265287),
("minutehour", 1.7578579175523736),
("hh:mmintersect", 1.9810014688665833),
("year (latent)time-of-day (latent)", 2.6741486494265287)],
n = 9}}),
("Saturday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("week", 1.6094379124341003),
("month (grain)", 2.3025850929940455),
("year (grain)", 2.3025850929940455),
("week (grain)", 1.6094379124341003),
("quarter", 2.3025850929940455), ("year", 2.3025850929940455),
("month", 2.3025850929940455),
("quarter (grain)", 2.3025850929940455)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("number.number hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.6061358035703156,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("minuteminute", 1.0986122886681098),
("time-of-day (latent)time-of-day (latent)",
2.1972245773362196),
("hh:mmhh:mm", 1.0986122886681098),
("hourhour", 2.1972245773362196)],
n = 6},
koData =
ClassData{prior = 0.7884573603642702, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 0.9808292530117262),
("minutehour", 0.9808292530117262)],
n = 5}}),
("yyyy-mm-dd",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("year (latent)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.4462871026284195),
("integer (0..19)", 1.0216512475319814)],
n = 23}}),
("Monday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("dd/mm/yyyy",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("yesterday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<ordinal> quarter <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)quarter (grain)year",
1.252762968495368),
("quarteryear", 0.8472978603872037),
("ordinal (digits)quarter (grain)year", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("after lunch",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hh:mm:ss",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the <cycle> after <time>",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("year (grain)christmas eve", 0.6931471805599453),
("yearday", 0.6931471805599453)],
n = 2}}),
("quarter to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("a pair",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = 0.5596157879354228,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("daymonth", 0.8938178760220964),
("ordinals (first..31st)TuesdayOctober", 1.9924301646902063),
("ordinals (first..31st)Tuesdayintersect", 1.9924301646902063),
("ordinals (first..31st)Wednesdayintersect",
1.4816045409242156)],
n = 8},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("daymonth", 0.9444616088408514),
("ordinals (first..31st)WednesdayOctober", 1.2809338454620642),
("ordinals (first..31st)TuesdaySeptember", 1.791759469228055)],
n = 6}}),
("the <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinals (first..31st)",
Classifier{okData =
ClassData{prior = 5.406722127027582e-2,
unseen = 2.995732273553991,
likelihoods = HashMap.fromList [("", 0.0)], n = 18},
koData =
ClassData{prior = 2.9444389791664407,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("April",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("week (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.332204510175204,
likelihoods = HashMap.fromList [("", 0.0)], n = 26},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
Classifier{okData =
ClassData{prior = 1.0986122886681098,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 1.9459101490553135,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("hour", 0.8472978603872037), ("evening", 1.252762968495368),
("morning", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = 0.15415067982725836,
unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("hour", 0.7308875085427924),
("morning", 0.7308875085427924)],
n = 12}}),
("christmas eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 9.53101798043249e-2,
unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)March", 1.8325814637483102),
("ordinal (digits)February", 1.8325814637483102),
("month", 0.8209805520698302),
("ordinal (digits)March", 1.6094379124341003)],
n = 10},
koData =
ClassData{prior = 2.3978952727983707,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)April", 1.252762968495368),
("month", 1.252762968495368)],
n = 1}}),
("numbers prefix with -, negative or minus",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.4011973816621555,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 28}}),
("Friday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("in|during the <part-of-day>",
Classifier{okData =
ClassData{prior = 1.9459101490553135,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("afternoon", 1.3862943611198906),
("hour", 0.9808292530117262),
("evening", 1.3862943611198906)],
n = 2},
koData =
ClassData{prior = 0.15415067982725836,
unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("hour", 0.7672551527136672),
("morning", 0.7672551527136672)],
n = 12}}),
("new year's eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<cycle> after <time>",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("year (grain)christmas eve", 0.6931471805599453),
("yearday", 0.6931471805599453)],
n = 2}}),
("<time> after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("Wednesday", 1.8718021769015913),
("Friday", 1.466337068793427), ("day", 1.1786549963416462),
("March", 1.8718021769015913), ("month", 1.8718021769015913)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("half an hour",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = 0.916290731874155, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("the <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", 1.2039728043259361),
("ordinal (digits)", 0.35667494393873245)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Sunday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("afternoon",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<duration> from now",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("second", 1.4469189829363254), ("year", 2.1400661634962708),
("<integer> <unit-of-duration>", 1.041453874828161),
("a <unit-of-duration>", 2.1400661634962708),
("minute", 1.7346010553881064)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("February",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = 0.11778303565638351,
unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", 1.5686159179138452),
("year (grain)", 2.0794415416798357),
("week (grain)", 1.5686159179138452),
("day", 2.4849066497880004), ("quarter", 2.4849066497880004),
("year", 2.0794415416798357),
("quarter (grain)", 2.4849066497880004),
("day (grain)", 2.4849066497880004)],
n = 8},
koData =
ClassData{prior = 2.1972245773362196,
unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("day", 1.6094379124341003),
("day (grain)", 1.6094379124341003)],
n = 1}}),
("minute (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("about <time-of-day>",
Classifier{okData =
ClassData{prior = 0.8472978603872037,
unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.916290731874155),
("hour", 0.916290731874155)],
n = 3},
koData =
ClassData{prior = 0.5596157879354228,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.3862943611198906),
("hour", 1.3862943611198906),
("<hour-of-day> half (as relative minutes)",
1.3862943611198906),
("minute", 1.3862943611198906)],
n = 4}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 0.8690378470236094,
unseen = 3.7376696182833684,
likelihoods =
HashMap.fromList [("integer (numeric)", 2.469261259037152e-2)],
n = 39},
koData =
ClassData{prior = 0.5436154465889815, unseen = 4.04305126783455,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.2876820724517809),
("integer (0..19)", 1.3862943611198906)],
n = 54}}),
("year",
Classifier{okData =
ClassData{prior = 0.1431008436406733, unseen = 3.332204510175204,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 26},
koData =
ClassData{prior = 2.0149030205422647, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 4}}),
("last <day-of-week> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("daymonth", 0.8266785731844679),
("SundayMarch", 1.6739764335716716),
("MondayMarch", 1.6739764335716716),
("Sundayintersect", 1.6739764335716716)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.5408064559779265, unseen = 4.74493212836325,
likelihoods =
HashMap.fromList
[("week", 2.538973871058276),
("integer (0..19)year (grain)", 3.349904087274605),
("integer (numeric)day (grain)", 2.9444389791664407),
("integer (0..19)hour (grain)", 4.04305126783455),
("second", 2.9444389791664407),
("integer (numeric)second (grain)", 4.04305126783455),
("a pairhour (grain)", 4.04305126783455),
("integer (numeric)year (grain)", 3.6375861597263857),
("day", 2.338303175596125), ("year", 2.9444389791664407),
("integer (numeric)week (grain)", 3.349904087274605),
("integer (0..19)month (grain)", 4.04305126783455),
("integer (0..19)second (grain)", 3.126760535960395),
("hour", 2.9444389791664407), ("month", 3.6375861597263857),
("integer (numeric)minute (grain)", 2.790288299339182),
("integer (0..19)minute (grain)", 2.9444389791664407),
("integer (numeric)month (grain)", 4.04305126783455),
("minute", 2.2512917986064953),
("integer (numeric)hour (grain)", 3.349904087274605),
("integer (0..19)day (grain)", 2.9444389791664407),
("integer (0..19)week (grain)", 2.9444389791664407)],
n = 46},
koData =
ClassData{prior = 0.8729402910005413, unseen = 4.48863636973214,
likelihoods =
HashMap.fromList
[("week", 2.6855773452501515),
("integer (0..19)year (grain)", 3.378724525810097),
("integer (numeric)day (grain)", 3.0910424533583156),
("integer (0..19)hour (grain)", 3.784189633918261),
("second", 2.867898902044106),
("integer (numeric)second (grain)", 3.378724525810097),
("integer (numeric)year (grain)", 3.0910424533583156),
("day", 2.6855773452501515), ("year", 2.6855773452501515),
("integer (numeric)week (grain)", 3.378724525810097),
("integer (0..19)month (grain)", 3.0910424533583156),
("integer (0..19)second (grain)", 3.378724525810097),
("hour", 2.6855773452501515), ("month", 2.6855773452501515),
("integer (numeric)minute (grain)", 3.378724525810097),
("integer (0..19)minute (grain)", 3.378724525810097),
("integer (numeric)month (grain)", 3.378724525810097),
("minute", 2.867898902044106),
("integer (numeric)hour (grain)", 2.867898902044106),
("integer (0..19)day (grain)", 3.378724525810097),
("integer (0..19)week (grain)", 3.0910424533583156)],
n = 33}}),
("<duration> after <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("a <unit-of-duration>christmas eve", 1.5040773967762742),
("yearday", 0.8109302162163288),
("<integer> <unit-of-duration>christmas eve",
1.0986122886681098)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("relative minutes after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("hour", 0.6931471805599453),
("integer (numeric)time-of-day (latent)", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("a <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", 2.0794415416798357),
("year (grain)", 2.4849066497880004),
("second", 2.0794415416798357),
("week (grain)", 2.0794415416798357),
("day", 2.4849066497880004),
("minute (grain)", 2.4849066497880004),
("year", 2.4849066497880004),
("second (grain)", 2.0794415416798357),
("minute", 2.4849066497880004),
("day (grain)", 2.4849066497880004)],
n = 7},
koData =
ClassData{prior = infinity, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \",\"",
Classifier{okData =
ClassData{prior = 0.1590646946296874, unseen = 4.51085950651685,
likelihoods =
HashMap.fromList
[("Wednesday<named-month> <day-of-month> (non ordinal)",
3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)Friday",
3.8066624897703196),
("Friday<named-month> <day-of-month> (non ordinal)",
3.4011973816621555),
("at <time-of-day>Saturday", 3.8066624897703196),
("intersect by \",\"year", 3.8066624897703196),
("hh:mmintersect by \",\"", 3.8066624897703196),
("dayday", 2.1019143975318944),
("dayyear", 2.890371757896165),
("Saturday<day-of-month> (non ordinal) <named-month>",
3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)intersect",
3.8066624897703196),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
3.4011973816621555),
("Fridayintersect", 3.8066624897703196),
("hh:mmintersect", 3.8066624897703196),
("intersect by \",\"intersect", 3.8066624897703196),
("hh:mmSaturday", 3.8066624897703196),
("at <time-of-day>intersect", 3.8066624897703196),
("Sunday<day-of-month> (non ordinal) <named-month>",
3.8066624897703196),
("dayminute", 2.70805020110221),
("intersectyear", 3.8066624897703196),
("minuteday", 2.1019143975318944),
("hh:mmabsorption of , after named day", 3.8066624897703196),
("at <time-of-day>intersect by \",\"", 3.8066624897703196),
("at <time-of-day>absorption of , after named day",
3.8066624897703196),
("intersectintersect", 3.8066624897703196),
("Fridayintersect by \",\"", 3.4011973816621555),
("Monday<named-month> <day-of-month> (non ordinal)",
3.4011973816621555),
("Monday<day-of-month> (non ordinal) <named-month>",
3.8066624897703196),
("<named-month> <day-of-month> (non ordinal)year",
3.4011973816621555)],
n = 29},
koData =
ClassData{prior = 1.916922612182061, unseen = 3.7612001156935624,
likelihoods =
HashMap.fromList
[("daymonth", 1.9459101490553135),
("FridayJuly", 2.639057329615259),
("WednesdayFebruary", 3.044522437723423),
("MondayFebruary", 2.639057329615259)],
n = 5}}),
("hh:mm",
Classifier{okData =
ClassData{prior = 1.8018505502678365e-2,
unseen = 4.04305126783455,
likelihoods = HashMap.fromList [("", 0.0)], n = 55},
koData =
ClassData{prior = 4.02535169073515, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("second (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> sharp",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.2992829841302609),
("time-of-day (latent)", 1.2992829841302609),
("hour", 0.7884573603642702)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \"of\", \"from\", \"'s\"",
Classifier{okData =
ClassData{prior = 0.8209805520698302,
unseen = 3.6375861597263857,
likelihoods =
HashMap.fromList
[("Sundaylast <cycle>", 2.917770732084279),
("daymonth", 1.6650077635889111),
("Wednesdayintersect", 2.512305623976115),
("Wednesdaynext <cycle>", 2.917770732084279),
("Tuesdaythis <cycle>", 2.917770732084279),
("WednesdayOctober", 2.512305623976115),
("Wednesdaythis <cycle>", 2.917770732084279),
("TuesdayOctober", 2.512305623976115),
("Mondaythis <cycle>", 2.917770732084279),
("dayweek", 1.8191584434161694)],
n = 11},
koData =
ClassData{prior = 0.579818495252942, unseen = 3.784189633918261,
likelihoods =
HashMap.fromList
[("daymonth", 1.0531499145913523),
("TuesdaySeptember", 2.662587827025453),
("Wednesdayintersect", 2.662587827025453),
("WednesdayOctober", 2.662587827025453),
("SundayMarch", 2.662587827025453),
("MondayMarch", 2.662587827025453),
("Tuesdayintersect", 2.662587827025453),
("Sundayintersect", 2.662587827025453)],
n = 14}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.5553480614894135,
likelihoods =
HashMap.fromList
[("week", 1.580450375560848), ("day", 1.916922612182061),
("year", 2.4277482359480516),
("<integer> <unit-of-duration>", 0.8873031950009028),
("a <unit-of-duration>", 2.833213344056216),
("month", 2.4277482359480516)],
n = 14},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("last <time>",
Classifier{okData =
ClassData{prior = 2.751535313041949, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("day", 1.6739764335716716), ("Sunday", 2.0794415416798357),
("hour", 2.0794415416798357), ("Tuesday", 2.0794415416798357),
("week-end", 2.0794415416798357)],
n = 3},
koData =
ClassData{prior = 6.59579677917974e-2, unseen = 4.59511985013459,
likelihoods =
HashMap.fromList
[("year (latent)", 1.6405284995041316),
("Monday", 3.4863551900024623), ("day", 2.3877429013343523),
("Sunday", 3.4863551900024623),
("time-of-day (latent)", 1.6405284995041316),
("year", 1.6405284995041316),
("intersect by \"of\", \"from\", \"'s\"", 2.9755295662364714),
("hour", 1.6405284995041316)],
n = 44}}),
("March",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the day after tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("noon",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("until <time-of-day>",
Classifier{okData =
ClassData{prior = 0.25131442828090605,
unseen = 2.995732273553991,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 0.8649974374866046),
("hour", 0.8649974374866046)],
n = 7},
koData =
ClassData{prior = 1.5040773967762742,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("intersect", 1.5040773967762742),
("hh:mm", 1.5040773967762742),
("minute", 1.0986122886681098)],
n = 2}}),
("<integer> and an half hours",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.6931471805599453),
("integer (0..19)", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("after <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("<integer> <unit-of-duration>", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("evening",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("decimal number",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("next <time>",
Classifier{okData =
ClassData{prior = 0.587786664902119, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("Wednesday", 2.1400661634962708),
("Monday", 2.1400661634962708), ("day", 1.2237754316221157),
("March", 2.1400661634962708), ("month", 2.1400661634962708),
("Tuesday", 1.7346010553881064)],
n = 5},
koData =
ClassData{prior = 0.8109302162163288, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("Wednesday", 2.0149030205422647),
("Friday", 1.6094379124341003), ("day", 1.3217558399823195),
("March", 2.0149030205422647), ("month", 2.0149030205422647)],
n = 4}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = 0.6931471805599453, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 1.6739764335716716),
("month (grain)", 2.0794415416798357),
("year (grain)", 2.0794415416798357),
("week (grain)", 1.6739764335716716),
("year", 2.0794415416798357), ("month", 2.0794415416798357)],
n = 4},
koData =
ClassData{prior = 0.6931471805599453, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("week", 1.6739764335716716),
("week (grain)", 1.6739764335716716),
("day", 1.6739764335716716),
("day (grain)", 1.6739764335716716)],
n = 4}}),
("christmas",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("new year's day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.912023005428146,
likelihoods =
HashMap.fromList
[("week", 2.793208009442517),
("integer (0..19)year (grain)", 3.1986731175506815),
("integer (numeric)day (grain)", 3.1986731175506815),
("integer (0..19)hour (grain)", 3.1986731175506815),
("second", 2.793208009442517),
("integer (numeric)second (grain)", 3.1986731175506815),
("integer (numeric)year (grain)", 3.1986731175506815),
("day", 2.793208009442517), ("year", 2.793208009442517),
("integer (numeric)week (grain)", 3.1986731175506815),
("integer (0..19)month (grain)", 3.1986731175506815),
("integer (0..19)second (grain)", 3.1986731175506815),
("hour", 2.793208009442517), ("month", 2.793208009442517),
("integer (numeric)minute (grain)", 3.1986731175506815),
("integer (0..19)minute (grain)", 3.1986731175506815),
("integer (numeric)month (grain)", 3.1986731175506815),
("minute", 2.793208009442517),
("integer (numeric)hour (grain)", 3.1986731175506815),
("integer (0..19)day (grain)", 3.1986731175506815),
("integer (0..19)week (grain)", 3.1986731175506815)],
n = 14},
koData =
ClassData{prior = infinity, unseen = 3.0910424533583156,
likelihoods = HashMap.fromList [], n = 0}}),
("in <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 4.418840607796598,
likelihoods =
HashMap.fromList
[("week", 3.0204248861443626),
("<integer> more <unit-of-duration>", 3.3081069585961433),
("number.number hours", 3.713572066704308),
("second", 2.797281334830153), ("day", 2.6149597780361984),
("half an hour", 3.713572066704308),
("<integer> <unit-of-duration>", 1.2286654169163076),
("a <unit-of-duration>", 2.797281334830153),
("<integer> and an half hours", 3.3081069585961433),
("hour", 2.6149597780361984), ("minute", 1.4622802680978126),
("about <duration>", 3.3081069585961433)],
n = 35},
koData =
ClassData{prior = infinity, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.5436154465889815,
unseen = 3.8501476017100584,
likelihoods =
HashMap.fromList
[("minuteminute", 1.1895840668738362),
("hh:mmhh:mm", 1.1895840668738362),
("dayday", 2.03688192726104),
("<day-of-month> (non ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
2.03688192726104)],
n = 18},
koData =
ClassData{prior = 0.8690378470236094,
unseen = 3.6109179126442243,
likelihoods =
HashMap.fromList
[("July<day-of-month> (non ordinal) <named-month>",
2.890371757896165),
("monthday", 1.791759469228055),
("minuteminute", 1.6376087894007967),
("hh:mmhh:mm", 2.890371757896165),
("dayyear", 2.4849066497880004),
("hh:mmintersect", 1.791759469228055),
("August<day-of-month> (non ordinal) <named-month>",
1.9740810260220096),
("dd/mmyear", 2.4849066497880004)],
n = 13}}),
("Tuesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = 0.7672551527136672,
unseen = 3.4339872044851463,
likelihoods =
HashMap.fromList
[("minuteminute", 0.7621400520468967),
("hh:mmhh:mm", 0.7621400520468967)],
n = 13},
koData =
ClassData{prior = 0.6241543090729939,
unseen = 3.5553480614894135,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", 0.8183103235139514),
("minuteminute", 2.833213344056216),
("hh:mmhh:mm", 2.833213344056216),
("minutehour", 0.8183103235139514)],
n = 15}}),
("last n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 4.04305126783455,
likelihoods =
HashMap.fromList
[("week", 2.639057329615259),
("integer (0..19)year (grain)", 3.332204510175204),
("integer (numeric)day (grain)", 2.9267394020670396),
("second", 2.9267394020670396),
("integer (numeric)second (grain)", 3.332204510175204),
("integer (numeric)year (grain)", 2.9267394020670396),
("day", 2.639057329615259), ("year", 2.639057329615259),
("integer (numeric)week (grain)", 3.332204510175204),
("integer (0..19)month (grain)", 2.9267394020670396),
("integer (0..19)second (grain)", 3.332204510175204),
("hour", 2.9267394020670396), ("month", 2.639057329615259),
("integer (numeric)minute (grain)", 3.332204510175204),
("integer (0..19)minute (grain)", 3.332204510175204),
("integer (numeric)month (grain)", 3.332204510175204),
("minute", 2.9267394020670396),
("integer (numeric)hour (grain)", 2.9267394020670396),
("integer (0..19)day (grain)", 3.332204510175204),
("integer (0..19)week (grain)", 2.9267394020670396)],
n = 18},
koData =
ClassData{prior = infinity, unseen = 3.044522437723423,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month> <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.4418327522790392,
unseen = 3.1780538303479458,
likelihoods =
HashMap.fromList
[("Aprilinteger (numeric)", 2.4423470353692043),
("month", 0.832909122935104),
("Februaryinteger (numeric)", 1.3437347467010947),
("Julyinteger (numeric)", 1.749199854809259)],
n = 9},
koData =
ClassData{prior = 1.0296194171811581, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("Augustinteger (numeric)", 1.0986122886681098),
("Aprilinteger (numeric)", 2.0149030205422647),
("month", 0.916290731874155)],
n = 5}}),
("<day-of-month> (non ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 0.15415067982725836,
unseen = 3.784189633918261,
likelihoods =
HashMap.fromList
[("integer (numeric)September", 3.068052935133617),
("integer (numeric)April", 3.068052935133617),
("integer (numeric)August", 1.4586150226995167),
("integer (numeric)February", 2.374905754573672),
("month", 0.8167611365271219),
("integer (numeric)July", 2.662587827025453),
("integer (numeric)March", 2.662587827025453)],
n = 18},
koData =
ClassData{prior = 1.9459101490553135, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("month", 1.1786549963416462),
("integer (numeric)July", 1.1786549963416462)],
n = 3}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("Wednesday", 1.8718021769015913),
("Monday", 1.8718021769015913), ("day", 0.9555114450274363),
("Tuesday", 1.466337068793427)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("Wednesday", 1.7047480922384253),
("Friday", 1.2992829841302609), ("day", 1.0116009116784799)],
n = 3}}),
("<hour-of-day> half (as relative minutes)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("about <time-of-day>", 1.7346010553881064),
("time-of-day (latent)", 1.041453874828161),
("hour", 0.7537718023763802)],
n = 7}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = 8.701137698962981e-2,
unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = 2.4849066497880004,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("last <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("day (grain)October", 1.9924301646902063),
("daymonth", 1.4816045409242156),
("day (grain)intersect", 1.9924301646902063),
("weekmonth", 1.4816045409242156),
("week (grain)intersect", 1.9924301646902063),
("week (grain)September", 1.9924301646902063)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month> year",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)April", 1.6094379124341003),
("ordinals (first..31st)March", 1.6094379124341003),
("month", 0.916290731874155),
("ordinal (digits)March", 1.6094379124341003)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("morning",
Classifier{okData =
ClassData{prior = 1.9459101490553135,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 0.15415067982725836,
unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12}}),
("week-end",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("after <time-of-day>",
Classifier{okData =
ClassData{prior = 0.7537718023763802, unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.6863989535702288),
("intersect", 2.1972245773362196),
("tomorrow", 2.1972245773362196), ("day", 2.1972245773362196),
("hour", 1.349926716949016)],
n = 8},
koData =
ClassData{prior = 0.6359887667199967,
unseen = 3.4011973816621555,
likelihoods =
HashMap.fromList
[("this <part-of-day>", 2.268683541318364),
("christmas eve", 2.268683541318364),
("in|during the <part-of-day>", 2.268683541318364),
("day", 2.268683541318364), ("hh:mm", 2.6741486494265287),
("hour", 1.4213856809311607), ("minute", 2.6741486494265287),
("this <time>", 2.268683541318364)],
n = 9}}),
("day (grain)",
Classifier{okData =
ClassData{prior = 4.8790164169432056e-2,
unseen = 3.0910424533583156,
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
koData =
ClassData{prior = 3.044522437723423, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("July", 0.6931471805599453), ("month", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("about <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("half an hour", 0.6931471805599453),
("minute", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("this <time>",
Classifier{okData =
ClassData{prior = 1.3217558399823195, unseen = 3.871201010907891,
likelihoods =
HashMap.fromList
[("week", 2.2407096892759584), ("October", 2.751535313041949),
("intersect", 2.751535313041949),
("season", 2.2407096892759584),
("next <cycle>", 3.1570004211501135),
("day", 2.2407096892759584),
("this <cycle>", 2.463853240590168),
("hour", 2.2407096892759584), ("evening", 3.1570004211501135),
("month", 2.2407096892759584),
("morning", 3.1570004211501135),
("week-end", 2.751535313041949)],
n = 16},
koData =
ClassData{prior = 0.3101549283038396,
unseen = 4.6443908991413725,
likelihoods =
HashMap.fromList
[("September", 3.0252910757955354),
("October", 2.236833715431265),
("intersect", 2.069779630768099),
("time-of-day (latent)", 3.536116699561526),
("March", 3.0252910757955354), ("hour", 1.9266787871274258),
("month", 1.2007417837444896),
("morning", 2.069779630768099)],
n = 44}}),
("within <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("week", 0.6931471805599453),
("<integer> <unit-of-duration>", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("August",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}})]