module Duckling.Ranking.Classifiers.SV (classifiers) where
import Prelude
import Duckling.Ranking.Types
import qualified Data.HashMap.Strict as HashMap
import Data.String
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 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}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.7672551527136672, unseen = 4.882801922586371,
likelihoods = HashMap.fromList [("", 0.0)], n = 130},
koData =
ClassData{prior = 0.6241543090729939,
unseen = 5.0238805208462765,
likelihoods = HashMap.fromList [("", 0.0)], n = 150}}),
("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 = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("integer (20..90)",
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 = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("dayhour", 0.9555114450274363),
("tomorrowevening", 1.8718021769015913),
("named-daymorning", 1.8718021769015913),
("tomorrowlunch", 1.8718021769015913),
("yesterdayevening", 1.8718021769015913)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("couple, 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}}),
("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 = 0.0, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("at <time-of-day>",
Classifier{okData =
ClassData{prior = 0.2607262624632527, unseen = 4.624972813284271,
likelihoods =
HashMap.fromList
[("<time> timezone", 3.5165082281731497),
("time-of-day (latent)", 1.2139231351791042),
("relative minutes after|past <integer> (hour-of-day)",
3.5165082281731497),
("hh:mm", 2.0501711593797225),
("<time-of-day> sharp", 3.5165082281731497),
("hour", 1.149384614041533), ("minute", 1.7819071727850433)],
n = 47},
koData =
ClassData{prior = 1.4718165345580525, 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 = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
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 = 0.45198512374305727,
unseen = 4.430816798843313,
likelihoods =
HashMap.fromList
[("on <date>", 3.3202283191284883),
("the <day-of-month> (non ordinal)", 3.3202283191284883),
("<day-of-month>(ordinal) <named-month>", 2.339399066116762),
("day", 0.8634925463071842),
("the <day-of-month> (ordinal)", 3.3202283191284883),
("afternoon", 3.7256934272366524),
("named-day", 2.1162555148025524),
("<day-of-month> (ordinal)", 1.9339339580085977),
("hour", 3.7256934272366524),
("<day-of-month> (non ordinal) <named-month>",
3.7256934272366524)],
n = 35},
koData =
ClassData{prior = 1.0116009116784799,
unseen = 3.9889840465642745,
likelihoods =
HashMap.fromList
[("on <date>", 2.3608540011180215),
("year (latent)", 1.7730673362159024),
("time-of-day (latent)", 1.7730673362159024),
("year", 1.5723966407537513), ("hour", 1.5723966407537513)],
n = 20}}),
("integer (0..19)",
Classifier{okData =
ClassData{prior = 0.2803019651541584, unseen = 3.58351893845611,
likelihoods = HashMap.fromList [("", 0.0)], n = 34},
koData =
ClassData{prior = 1.4087672169719492,
unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11}}),
("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 = 1.252762968495368, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("minuteminute", 1.2992829841302609),
("hh:mmhh:mm", 1.2992829841302609)],
n = 2},
koData =
ClassData{prior = 0.3364722366212129, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("hh:mm<day-of-month> (ordinal)", 1.7346010553881064),
("hh:mmtime-of-day (latent)", 1.7346010553881064),
("minuteminute", 2.1400661634962708),
("minutehour", 1.7346010553881064),
("hh:mmintersect", 2.1400661634962708),
("minuteday", 1.7346010553881064)],
n = 5}}),
("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}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = 0.11778303565638351,
unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("", 0.0)], n = 8},
koData =
ClassData{prior = 2.1972245773362196,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("<ordinal> quarter",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", 1.0986122886681098),
("quarter", 0.8109302162163288),
("ordinals (first..31st)quarter (grain)", 1.5040773967762742)],
n = 3},
koData =
ClassData{prior = 0.916290731874155, 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 = 0.4382549309311553, unseen = 6.003887067106539,
likelihoods =
HashMap.fromList
[("<datetime> - <datetime> (interval)on <date>",
4.209655408733095),
("<time-of-day> - <time-of-day> (interval)on <date>",
4.209655408733095),
("hourday", 5.308267697401205),
("dayhour", 3.0569758987947098),
("daymonth", 2.956892440237727),
("monthyear", 3.29336467685894),
("intersecthh:mm", 4.9028025892930405),
("named-daylast <cycle>", 5.308267697401205),
("the <day-of-month> (ordinal)named-month",
3.9219733362813143),
("intersect by \"of\", \"from\", \"'s\"year",
4.9028025892930405),
("last <day-of-week> of <time>year", 5.308267697401205),
("todayat <time-of-day>", 4.9028025892930405),
("dayday", 2.6341190479746763),
("dd/mmat <time-of-day>", 4.39197696552705),
("intersect by \",\"hh:mm", 3.804190300624931),
("named-day<named-month> <day-of-month> (ordinal)",
5.308267697401205),
("intersectnamed-month", 4.9028025892930405),
("dayyear", 3.362357548345891),
("named-daythis <time>", 4.209655408733095),
("tomorrow<time-of-day> sharp", 4.9028025892930405),
("<day-of-month>(ordinal) <named-month>year",
4.39197696552705),
("absorption of , after named day<day-of-month>(ordinal) <named-month>",
4.61512051684126),
("absorption of , after named day<named-month> <day-of-month> (ordinal)",
4.209655408733095),
("named-day<time> timezone", 4.61512051684126),
("named-monthyear", 3.29336467685894),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
4.209655408733095),
("on <date>named-month", 3.9219733362813143),
("tomorrowuntil <time-of-day>", 4.9028025892930405),
("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
4.61512051684126),
("after <time-of-day>at <time-of-day>", 4.9028025892930405),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
4.9028025892930405),
("named-day<day-of-month> (non ordinal) <named-month>",
5.308267697401205),
("named-day<named-month> <day-of-month> (non ordinal)",
5.308267697401205),
("named-dayfrom <datetime> - <datetime> (interval)",
4.9028025892930405),
("named-daynext <cycle>", 5.308267697401205),
("named-dayintersect", 4.9028025892930405),
("named-dayfrom <time-of-day> - <time-of-day> (interval)",
4.9028025892930405),
("tomorrowafter <time-of-day>", 4.9028025892930405),
("from <time-of-day> - <time-of-day> (interval)on <date>",
4.39197696552705),
("dayminute", 2.6692103677859462),
("from <datetime> - <datetime> (interval)on <date>",
4.61512051684126),
("<ordinal> <cycle> of <time>year", 4.9028025892930405),
("minuteday", 2.6341190479746763),
("absorption of , after named dayintersect",
4.9028025892930405),
("named-daybetween <time-of-day> and <time-of-day> (interval)",
5.308267697401205),
("named-dayon <date>", 4.61512051684126),
("named-dayat <time-of-day>", 4.9028025892930405),
("yearhh:mm", 5.308267697401205),
("named-daybetween <datetime> and <datetime> (interval)",
5.308267697401205),
("absorption of , after named dayintersect by \",\"",
4.39197696552705),
("dd/mmyear", 4.9028025892930405),
("at <time-of-day>on <date>", 5.308267697401205),
("between <time-of-day> and <time-of-day> (interval)on <date>",
5.308267697401205),
("between <datetime> and <datetime> (interval)on <date>",
5.308267697401205),
("dayweek", 4.055504728905837),
("intersect by \",\"<day-of-month>(ordinal) <named-month>",
4.9028025892930405),
("weekyear", 4.39197696552705),
("hh:mmtomorrow", 4.61512051684126),
("named-day<day-of-month>(ordinal) <named-month>",
5.308267697401205),
("tomorrowat <time-of-day>", 4.055504728905837),
("named-daythis <cycle>", 4.61512051684126),
("named-daythe <day-of-month> (ordinal)", 5.308267697401205),
("at <time-of-day>tomorrow", 4.9028025892930405),
("last <cycle> of <time>year", 4.39197696552705),
("<day-of-month> (non ordinal) <named-month>year",
4.9028025892930405),
("yearminute", 5.308267697401205)],
n = 160},
koData =
ClassData{prior = 1.0360919316867756, unseen = 5.564520407322694,
likelihoods =
HashMap.fromList
[("named-daynamed-month", 4.867534450455582),
("dayhour", 3.258096538021482),
("daymonth", 2.0343211063993665),
("monthday", 3.3634570536793085),
("monthyear", 3.951243718581427),
("intersect by \"of\", \"from\", \"'s\"year",
3.7689221617874726),
("hourmonth", 4.462069342347418),
("named-dayhh:mm", 4.867534450455582),
("dayday", 4.867534450455582),
("dd/mmat <time-of-day>", 3.951243718581427),
("intersectnamed-month", 4.462069342347418),
("dayyear", 3.481240089335692),
("named-daythis <time>", 2.921624301400269),
("year<hour-of-day> <integer> (as relative minutes)",
4.462069342347418),
("minutemonth", 4.462069342347418),
("named-monthyear", 3.951243718581427),
("on <date>named-month", 4.462069342347418),
("absorption of , after named daynamed-month",
3.7689221617874726),
("named-dayfrom <datetime> - <datetime> (interval)",
3.7689221617874726),
("named-dayintersect", 4.462069342347418),
("named-month<day-of-month>(ordinal) <named-month>",
3.951243718581427),
("<hour-of-day> <integer> (as relative minutes)named-month",
4.462069342347418),
("named-dayfrom <time-of-day> - <time-of-day> (interval)",
4.867534450455582),
("yearmonth", 4.867534450455582),
("until <time-of-day>on <date>", 4.867534450455582),
("<named-month> <day-of-month> (ordinal)named-month",
3.951243718581427),
("dayminute", 3.258096538021482),
("minuteday", 3.3634570536793085),
("named-daybetween <time-of-day> and <time-of-day> (interval)",
4.867534450455582),
("named-dayon <date>", 4.462069342347418),
("named-dayat <time-of-day>", 3.951243718581427),
("hh:mmon <date>", 3.481240089335692),
("named-daybetween <datetime> and <datetime> (interval)",
4.462069342347418),
("<day-of-month>(ordinal) <named-month> yearnamed-month",
3.951243718581427),
("named-month<day-of-month> (non ordinal) <named-month>",
3.951243718581427),
("<named-month> <day-of-month> (non ordinal)named-month",
3.951243718581427),
("<hour-of-day> <integer> (as relative minutes)year",
4.462069342347418),
("minuteyear", 4.462069342347418),
("yearminute", 4.462069342347418)],
n = 88}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("daymonth", 1.7346010553881064),
("ordinals (first..31st)week (grain)intersect",
1.7346010553881064),
("ordinals (first..31st)week (grain)named-month",
1.7346010553881064),
("weekmonth", 1.2237754316221157),
("ordinals (first..31st)day (grain)named-month",
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 = 2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 1.4816045409242156,
unseen = 3.4657359027997265,
likelihoods =
HashMap.fromList
[("minuteminute", 1.824549292051046),
("time-of-day (latent)time-of-day (latent)",
2.740840023925201),
("hh:mmhh:mm", 1.824549292051046),
("hourhour", 2.740840023925201)],
n = 5},
koData =
ClassData{prior = 0.2578291093020998, unseen = 4.02535169073515,
likelihoods =
HashMap.fromList
[("hourday", 3.3141860046725258),
("dayhour", 3.3141860046725258),
("yearhour", 3.3141860046725258),
("hh:mm<day-of-month> (ordinal)", 2.3978952727983707),
("time-of-day (latent)<day-of-month> (ordinal)",
3.3141860046725258),
("<day-of-month> (ordinal)time-of-day (latent)",
3.3141860046725258),
("hh:mmtime-of-day (latent)", 2.3978952727983707),
("minuteminute", 2.6210388241125804),
("yearyear", 3.3141860046725258),
("<day-of-month> (ordinal)<day-of-month> (ordinal)",
3.3141860046725258),
("dayday", 3.3141860046725258),
("year (latent)year (latent)", 3.3141860046725258),
("minutehour", 2.3978952727983707),
("hh:mmintersect", 2.6210388241125804),
("year (latent)time-of-day (latent)", 3.3141860046725258),
("minuteday", 2.3978952727983707),
("year (latent)<day-of-month> (ordinal)", 3.3141860046725258),
("yearday", 3.3141860046725258)],
n = 17}}),
("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 = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.3746934494414107),
("integer (0..19)", 1.1631508098056809)],
n = 30}}),
("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}}),
("quarter to|till|before <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.0986122886681098),
("noon", 1.5040773967762742), ("hour", 0.8109302162163288)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.995732273553991,
likelihoods =
HashMap.fromList
[("daymonth", 0.7472144018302211),
("ordinals (first..31st)named-dayintersect",
0.9985288301111273),
("ordinals (first..31st)named-daynamed-month",
1.845826690498331)],
n = 8},
koData =
ClassData{prior = 0.8472978603872037, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("daymonth", 0.7621400520468967),
("ordinals (first..31st)named-daynamed-month",
0.7621400520468967)],
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 = 0.0, unseen = 3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("named-month",
Classifier{okData =
ClassData{prior = 0.0, unseen = 4.174387269895637,
likelihoods = HashMap.fromList [("", 0.0)], n = 63},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("week (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.295836866004329,
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("hour", 0.6931471805599453),
("morning", 0.6931471805599453)],
n = 1}}),
("<day-of-month>(ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 0.12921173148000623,
unseen = 4.127134385045092,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)named-month", 2.501435951739211),
("ordinal (digits)named-month", 0.8527773261518292),
("month", 0.7096764825111559)],
n = 29},
koData =
ClassData{prior = 2.1102132003465894,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)named-month", 1.7047480922384253),
("ordinal (digits)named-month", 1.0116009116784799),
("month", 0.7884573603642702)],
n = 4}}),
("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 = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("hour", 0.6931471805599453),
("morning", 0.6931471805599453)],
n = 1}}),
("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 = 2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("named-month", 1.791759469228055),
("day", 1.0986122886681098),
("named-day", 1.0986122886681098),
("month", 1.791759469228055)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
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 = 2.639057329615259,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", 1.1786549963416462),
("ordinal (digits)", 0.3677247801253174)],
n = 11},
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 = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("second", 1.2039728043259361),
("<integer> <unit-of-duration>", 1.2039728043259361),
("a <unit-of-duration>", 1.6094379124341003),
("minute", 1.6094379124341003)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("week", 1.3862943611198906),
("year (grain)", 1.8971199848858813),
("week (grain)", 1.3862943611198906),
("quarter", 2.3025850929940455), ("year", 1.8971199848858813),
("quarter (grain)", 2.3025850929940455)],
n = 7},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("minute (grain)",
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}}),
("about <time-of-day>",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = 0.916290731874155, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 1.006804739414987, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("integer (numeric)", 5.129329438755058e-2),
("integer (0..19)", 2.995732273553991)],
n = 38},
koData =
ClassData{prior = 0.4547361571149472, unseen = 4.23410650459726,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.24921579162398486),
("integer (0..19)", 1.5114575040738967)],
n = 66}}),
("year",
Classifier{okData =
ClassData{prior = 0.14842000511827333,
unseen = 3.295836866004329,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 25},
koData =
ClassData{prior = 1.9810014688665833, 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 = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("named-daynamed-month", 1.0986122886681098),
("daymonth", 0.8109302162163288),
("named-dayintersect", 1.5040773967762742)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.6375773294051346, unseen = 4.59511985013459,
likelihoods =
HashMap.fromList
[("week", 2.639057329615259),
("integer (0..19)year (grain)", 3.891820298110627),
("integer (numeric)day (grain)", 2.793208009442517),
("couple, a pairhour (grain)", 3.891820298110627),
("integer (0..19)hour (grain)", 3.891820298110627),
("second", 3.1986731175506815),
("integer (numeric)second (grain)", 3.891820298110627),
("integer (numeric)year (grain)", 3.891820298110627),
("day", 2.187072205872201), ("year", 3.4863551900024623),
("integer (numeric)week (grain)", 3.1986731175506815),
("integer (0..19)month (grain)", 3.891820298110627),
("integer (0..19)second (grain)", 3.4863551900024623),
("hour", 2.793208009442517), ("month", 3.4863551900024623),
("integer (numeric)minute (grain)", 2.793208009442517),
("integer (0..19)minute (grain)", 2.9755295662364714),
("integer (numeric)month (grain)", 3.891820298110627),
("minute", 2.2823823856765264),
("integer (numeric)hour (grain)", 3.1986731175506815),
("integer (0..19)day (grain)", 2.793208009442517),
("integer (0..19)week (grain)", 3.1986731175506815)],
n = 37},
koData =
ClassData{prior = 0.7519876805828788, unseen = 4.51085950651685,
likelihoods =
HashMap.fromList
[("week", 2.70805020110221),
("integer (0..19)year (grain)", 3.4011973816621555),
("integer (numeric)day (grain)", 3.1135153092103742),
("integer (numeric)quarter (grain)", 3.8066624897703196),
("integer (0..19)hour (grain)", 3.8066624897703196),
("second", 2.890371757896165),
("integer (numeric)second (grain)", 3.4011973816621555),
("integer (numeric)year (grain)", 3.1135153092103742),
("day", 2.70805020110221), ("quarter", 3.8066624897703196),
("year", 2.70805020110221),
("integer (numeric)week (grain)", 3.4011973816621555),
("integer (0..19)month (grain)", 3.1135153092103742),
("integer (0..19)second (grain)", 3.4011973816621555),
("hour", 2.890371757896165), ("month", 2.70805020110221),
("integer (numeric)minute (grain)", 3.4011973816621555),
("integer (0..19)minute (grain)", 3.4011973816621555),
("integer (numeric)month (grain)", 3.4011973816621555),
("minute", 2.890371757896165),
("integer (numeric)hour (grain)", 3.1135153092103742),
("integer (0..19)day (grain)", 3.4011973816621555),
("integer (0..19)week (grain)", 3.1135153092103742)],
n = 33}}),
("relative minutes after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("hour", 0.8109302162163288),
("integer (numeric)time-of-day (latent)", 1.0986122886681098),
("integer (20..90)time-of-day (latent)", 1.5040773967762742)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("a <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", 2.0794415416798357),
("hour (grain)", 2.4849066497880004),
("second", 2.0794415416798357),
("week (grain)", 2.0794415416798357),
("day", 2.4849066497880004),
("minute (grain)", 2.4849066497880004),
("second (grain)", 2.0794415416798357),
("hour", 2.4849066497880004), ("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 = 8.855339734144506e-2,
unseen = 4.948759890378168,
likelihoods =
HashMap.fromList
[("<named-month> <day-of-month> (ordinal)intersect",
4.248495242049359),
("at <time-of-day>named-day", 4.248495242049359),
("intersect by \",\"year", 3.8430301339411947),
("hh:mmintersect by \",\"", 3.8430301339411947),
("dayday", 1.8971199848858813),
("hh:mmnamed-day", 4.248495242049359),
("named-dayintersect by \",\"", 3.332204510175204),
("named-day<named-month> <day-of-month> (ordinal)",
3.1498829533812494),
("dayyear", 2.744417845273085),
("<named-month> <day-of-month> (non ordinal)intersect",
4.248495242049359),
("intersect by \",\"<day-of-month> (non ordinal) <named-month>",
3.8430301339411947),
("<named-month> <day-of-month> (non ordinal)named-day",
4.248495242049359),
("named-day<day-of-month> (non ordinal) <named-month>",
3.5553480614894135),
("named-day<named-month> <day-of-month> (non ordinal)",
3.1498829533812494),
("hh:mmintersect", 3.8430301339411947),
("intersect by \",\"intersect", 3.8430301339411947),
("named-dayintersect", 3.8430301339411947),
("at <time-of-day>intersect", 3.8430301339411947),
("dayminute", 2.5437471498109336),
("intersectyear", 3.8430301339411947),
("minuteday", 2.108429078553088),
("hh:mmabsorption of , after named day", 4.248495242049359),
("at <time-of-day>intersect by \",\"", 3.8430301339411947),
("at <time-of-day>absorption of , after named day",
4.248495242049359),
("intersectintersect", 3.8430301339411947),
("intersect by \",\"<day-of-month>(ordinal) <named-month>",
3.8430301339411947),
("named-day<day-of-month>(ordinal) <named-month>",
3.5553480614894135),
("<named-month> <day-of-month> (ordinal)named-day",
4.248495242049359),
("<named-month> <day-of-month> (ordinal)year",
3.8430301339411947),
("<named-month> <day-of-month> (non ordinal)year",
3.8430301339411947)],
n = 54},
koData =
ClassData{prior = 2.468099531471619, unseen = 3.7612001156935624,
likelihoods =
HashMap.fromList
[("named-daynamed-month", 1.9459101490553135),
("daymonth", 1.9459101490553135)],
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 = 1.6094379124341003,
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}}),
("named-day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 4.248495242049359,
likelihoods = HashMap.fromList [("", 0.0)], n = 68},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("second (grain)",
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}}),
("<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 = 0.8649974374866046,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("named-daynamed-month", 1.4816045409242156),
("daymonth", 1.1451323043030026),
("named-daylast <cycle>", 2.3978952727983707),
("named-daynext <cycle>", 2.3978952727983707),
("named-dayintersect", 1.9924301646902063),
("dayweek", 1.9924301646902063)],
n = 8},
koData =
ClassData{prior = 0.5465437063680699, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("named-daynamed-month", 1.3862943611198906),
("daymonth", 0.8472978603872037),
("named-dayintersect", 1.540445040947149)],
n = 11}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("week", 1.6739764335716716), ("day", 1.8562979903656263),
("year", 2.367123614131617),
("<integer> <unit-of-duration>", 0.9007865453381898),
("a <unit-of-duration>", 2.772588722239781),
("month", 2.367123614131617)],
n = 13},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("last <time>",
Classifier{okData =
ClassData{prior = 2.8134107167600364, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("day", 1.6094379124341003),
("named-day", 1.6094379124341003),
("hour", 2.0149030205422647),
("week-end", 2.0149030205422647)],
n = 3},
koData =
ClassData{prior = 6.187540371808753e-2,
unseen = 4.6443908991413725,
likelihoods =
HashMap.fromList
[("year (latent)", 1.7443572303334711),
("day", 1.9956716586143772),
("time-of-day (latent)", 1.7443572303334711),
("year", 1.7443572303334711),
("named-day", 3.536116699561526),
("intersect by \"of\", \"from\", \"'s\"", 3.536116699561526),
("<day-of-month> (ordinal)", 2.33214389523559),
("hour", 1.7443572303334711)],
n = 47}}),
("<day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 1.0360919316867756, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)", 1.1786549963416462),
("ordinal (digits)", 0.3677247801253174)],
n = 11},
koData =
ClassData{prior = 0.4382549309311553,
unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList [("ordinal (digits)", 4.652001563489282e-2)],
n = 20}}),
("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 = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("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 = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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 = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("named-month", 1.791759469228055),
("day", 1.0986122886681098),
("named-day", 1.0986122886681098),
("month", 1.791759469228055)],
n = 4},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("named-month", 1.791759469228055),
("day", 1.0986122886681098),
("named-day", 1.0986122886681098),
("month", 1.791759469228055)],
n = 4}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = 0.587786664902119, unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("week", 1.5040773967762742),
("month (grain)", 2.1972245773362196),
("year (grain)", 2.1972245773362196),
("week (grain)", 1.5040773967762742),
("year", 2.1972245773362196), ("month", 2.1972245773362196)],
n = 5},
koData =
ClassData{prior = 0.8109302162163288, 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 = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("new year's day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("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 = 4.3694478524670215,
likelihoods =
HashMap.fromList
[("week", 3.258096538021482),
("<integer> more <unit-of-duration>", 3.258096538021482),
("number.number hours", 3.6635616461296463),
("second", 2.9704144655697013), ("day", 2.5649493574615367),
("half an hour", 3.6635616461296463),
("<integer> <unit-of-duration>", 1.3121863889661687),
("a <unit-of-duration>", 2.5649493574615367),
("<integer> and an half hours", 3.258096538021482),
("hour", 2.4107986776342782), ("minute", 1.466337068793427),
("about <duration>", 3.258096538021482)],
n = 33},
koData =
ClassData{prior = infinity, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.579818495252942, unseen = 4.304065093204169,
likelihoods =
HashMap.fromList
[("<day-of-month>(ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
2.498699971920336),
("<day-of-month> (non ordinal) <named-month><day-of-month>(ordinal) <named-month>",
2.498699971920336),
("minuteminute", 2.093234863812172),
("hh:mmhh:mm", 2.093234863812172),
("dayday", 1.2459370034249682),
("<day-of-month> (non ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
2.498699971920336),
("<day-of-month>(ordinal) <named-month><day-of-month>(ordinal) <named-month>",
2.498699971920336)],
n = 28},
koData =
ClassData{prior = 0.8209805520698302, unseen = 4.127134385045092,
likelihoods =
HashMap.fromList
[("monthday", 1.7129785913749407),
("minuteminute", 2.164963715117998),
("hh:mmhh:mm", 3.417726683613366),
("dayyear", 3.012261575505202),
("year<hour-of-day> <integer> (as relative minutes)",
3.012261575505202),
("hh:mmintersect", 2.3191143949452564),
("named-month<day-of-month>(ordinal) <named-month>",
2.3191143949452564),
("dd/mmyear", 3.012261575505202),
("named-month<day-of-month> (non ordinal) <named-month>",
2.3191143949452564),
("<hour-of-day> <integer> (as relative minutes)year",
3.012261575505202),
("minuteyear", 3.012261575505202),
("yearminute", 3.012261575505202)],
n = 22}}),
("<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 = 4.007333185232471,
likelihoods =
HashMap.fromList
[("week", 2.6026896854443837),
("integer (0..19)year (grain)", 3.295836866004329),
("integer (numeric)day (grain)", 2.890371757896165),
("second", 2.890371757896165),
("integer (numeric)second (grain)", 3.295836866004329),
("integer (numeric)year (grain)", 2.890371757896165),
("day", 2.6026896854443837), ("year", 2.6026896854443837),
("integer (numeric)week (grain)", 3.295836866004329),
("integer (0..19)month (grain)", 2.890371757896165),
("integer (0..19)second (grain)", 3.295836866004329),
("hour", 3.295836866004329), ("month", 2.6026896854443837),
("integer (numeric)minute (grain)", 3.295836866004329),
("integer (0..19)minute (grain)", 3.295836866004329),
("integer (numeric)month (grain)", 3.295836866004329),
("minute", 2.890371757896165),
("integer (numeric)hour (grain)", 3.295836866004329),
("integer (0..19)day (grain)", 3.295836866004329),
("integer (0..19)week (grain)", 2.890371757896165)],
n = 17},
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 = 3.044522437723423,
likelihoods =
HashMap.fromList
[("named-monthinteger (numeric)", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 9},
koData =
ClassData{prior = 1.0296194171811581,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("named-monthinteger (numeric)", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 5}}),
("<day-of-month> (non ordinal) <named-month>",
Classifier{okData =
ClassData{prior = 0.1466034741918754, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("integer (numeric)named-month", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 19},
koData =
ClassData{prior = 1.9924301646902063,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("integer (numeric)named-month", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 3}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 3}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = 1.9212175364649418,
unseen = 3.7612001156935624,
likelihoods = HashMap.fromList [("", 0.0)], n = 41},
koData =
ClassData{prior = 0.158326051237739, unseen = 5.484796933490655,
likelihoods = HashMap.fromList [("", 0.0)], n = 239}}),
("quarter (grain)",
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}}),
("last <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("daymonth", 1.4816045409242156),
("week (grain)named-month", 1.9924301646902063),
("day (grain)intersect", 1.9924301646902063),
("weekmonth", 1.4816045409242156),
("day (grain)named-month", 1.9924301646902063),
("week (grain)intersect", 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 = 0.587786664902119, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("ordinals (first..31st)named-month", 1.466337068793427),
("ordinal (digits)named-month", 1.1786549963416462),
("month", 0.7731898882334817)],
n = 5},
koData =
ClassData{prior = 0.8109302162163288,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("ordinal (digits)named-month", 0.7884573603642702),
("month", 0.7884573603642702)],
n = 4}}),
("morning",
Classifier{okData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = 0.6931471805599453,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("week-end",
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}}),
("after <time-of-day>",
Classifier{okData =
ClassData{prior = 0.8109302162163288, unseen = 3.367295829986474,
likelihoods =
HashMap.fromList
[("at <time-of-day>", 1.7227665977411035),
("intersect", 2.2335922215070942),
("tomorrow", 2.2335922215070942), ("day", 2.2335922215070942),
("hour", 1.3862943611198906)],
n = 8},
koData =
ClassData{prior = 0.587786664902119, unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("lunch", 2.772588722239781),
("year (latent)", 2.0794415416798357),
("day", 2.367123614131617),
("time-of-day (latent)", 2.0794415416798357),
("year", 2.0794415416798357), ("hh:mm", 2.772588722239781),
("<day-of-month> (ordinal)", 2.367123614131617),
("hour", 1.8562979903656263), ("minute", 2.772588722239781)],
n = 10}}),
("day (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("named-month", 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}}),
("<hour-of-day> <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("time-of-day (latent)integer (numeric)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 10}}),
("this <time>",
Classifier{okData =
ClassData{prior = 1.2992829841302609,
unseen = 3.6375861597263857,
likelihoods =
HashMap.fromList
[("week", 2.917770732084279), ("intersect", 2.512305623976115),
("season", 2.001480000210124),
("next <cycle>", 2.917770732084279),
("named-month", 2.512305623976115),
("day", 2.001480000210124), ("hour", 2.2246235515243336),
("month", 2.001480000210124),
("week-end", 2.2246235515243336)],
n = 12},
koData =
ClassData{prior = 0.3184537311185346, unseen = 4.356708826689592,
likelihoods =
HashMap.fromList
[("intersect", 1.8588987720656835),
("named-month", 1.5105920777974677),
("day", 3.6506582412937383),
("time-of-day (latent)", 3.245193133185574),
("<day-of-month> (ordinal)", 3.6506582412937383),
("noon", 3.6506582412937383), ("hour", 2.7343675094195836),
("month", 1.0116009116784799),
("morning", 3.6506582412937383)],
n = 32}}),
("<named-month> <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.4418327522790392, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("month", 0.6931471805599453),
("named-monthordinal (digits)", 0.6931471805599453)],
n = 9},
koData =
ClassData{prior = 1.0296194171811581,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("month", 0.6931471805599453),
("named-monthordinal (digits)", 0.6931471805599453)],
n = 5}}),
("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}})]