module Duckling.Ranking.Classifiers.ES_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("midnight",
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}}),
("Martes",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.5839478885949533, unseen = 4.0943445622221,
likelihoods = HashMap.fromList [("", 0.0)], n = 58},
koData =
ClassData{prior = 0.8157495026522777, unseen = 3.871201010907891,
likelihoods = HashMap.fromList [("", 0.0)], n = 46}}),
("the day before 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}}),
("hh(:|.|h)mm (time-of-day)",
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}}),
("<named-month|named-day> past",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("Martes", 1.791759469228055),
("el <time>", 1.3862943611198906),
("Domingo", 1.791759469228055), ("day", 0.8754687373538999)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("Abril",
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}}),
("dd[/-]mm",
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}}),
("intersect by `de`",
Classifier{okData =
ClassData{prior = 0.10536051565782628,
unseen = 4.859812404361672,
likelihoods =
HashMap.fromList
[("Miercoleseste|en un <cycle>", 4.1588830833596715),
("el <day-of-month> (non ordinal)intersect by `de`",
3.7534179752515073),
("daymonth", 1.807507826196194),
("monthyear", 3.7534179752515073),
("el <day-of-month> (non ordinal)Abril", 4.1588830833596715),
("Marteseste|en un <cycle>", 4.1588830833596715),
("Miercolesel <cycle> (proximo|que viene)",
4.1588830833596715),
("el <time>Marzo", 3.7534179752515073),
("el <day-of-month> (non ordinal)Septiembre",
4.1588830833596715),
("Miercolesel proximo <cycle> ", 4.1588830833596715),
("Luneseste|en un <cycle>", 4.1588830833596715),
("dayyear", 2.2129729343043585),
("dd-dd <month>(interval)year", 4.1588830833596715),
("el <time>el <cycle> (proximo|que viene)",
4.1588830833596715),
("el <day-of-month> (non ordinal)Julio", 4.1588830833596715),
("el <time>year", 3.7534179752515073),
("Septiembreyear", 4.1588830833596715),
("el <time>la <cycle> pasado", 4.1588830833596715),
("day of month (1st)Marzo", 3.242592351485517),
("el <day-of-month> de <named-month>year", 3.7534179752515073),
("el <time>este|en un <cycle>", 3.7534179752515073),
("Mayoyear", 4.1588830833596715),
("<day-of-month> de <named-month>year", 3.7534179752515073),
("two time tokens separated by \",\"year", 3.4657359027997265),
("el <day-of-month> (non ordinal)Febrero", 4.1588830833596715),
("two time tokens separated by \",\"intersect by `de`",
4.1588830833596715),
("dayweek", 2.4541349911212467),
("intersect by `de`year", 3.4657359027997265),
("el <day-of-month> (non ordinal)Marzo", 3.4657359027997265),
("Domingola <cycle> pasado", 4.1588830833596715),
("two time tokens separated by \",\"Septiembre",
4.1588830833596715),
("el <day-of-month> (non ordinal)Mayo", 3.4657359027997265)],
n = 45},
koData =
ClassData{prior = 2.3025850929940455, unseen = 3.891820298110627,
likelihoods =
HashMap.fromList
[("monthyear", 3.1780538303479458),
("Julioyear", 3.1780538303479458),
("hourmonth", 2.772588722239781),
("monthmonth", 3.1780538303479458),
("a las <time-of-day>Julio", 3.1780538303479458),
("dayyear", 3.1780538303479458),
("<day-of-month> de <named-month>year", 3.1780538303479458),
("a las <time-of-day>Enero", 3.1780538303479458),
("de <datetime> - <datetime> (interval)Enero",
3.1780538303479458)],
n = 5}}),
("n pasados <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("number (0..15)a\241o (grain)", 1.3862943611198906),
("year", 1.3862943611198906),
("number (0..15)mes (grain)", 1.3862943611198906),
("month", 1.3862943611198906)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> and half",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 1.3217558399823195),
("time-of-day (latent)", 1.3217558399823195),
("hour", 0.7621400520468967)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("pasados n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", 2.4849066497880004),
("integer (numeric)dia (grain)", 2.4849066497880004),
("integer (numeric)mes (grain)", 2.4849066497880004),
("second", 2.4849066497880004),
("integer (numeric)minutos (grain)", 2.4849066497880004),
("day", 2.4849066497880004),
("integer (numeric)segundo (grain)", 2.4849066497880004),
("year", 2.4849066497880004), ("month", 2.4849066497880004),
("minute", 2.4849066497880004),
("integer (numeric)a\241o (grain)", 2.4849066497880004),
("number (0..15)semana (grain)", 2.4849066497880004)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("semana (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}}),
("two time tokens separated by \",\"",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("Viernesintersect by `de`", 1.466337068793427),
("dayday", 0.8602012652231115),
("Viernesel <day-of-month> de <named-month>",
2.5649493574615367),
("Viernesel <time>", 2.159484249353372),
("Lunes<day-of-month> de <named-month>", 2.5649493574615367),
("Viernesel <day-of-month> (non ordinal)",
2.5649493574615367)],
n = 10},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<dim time> de la manana",
Classifier{okData =
ClassData{prior = 0.15415067982725836,
unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 1.3217558399823195),
("time-of-day (latent)", 1.3217558399823195),
("hour", 0.7621400520468967)],
n = 6},
koData =
ClassData{prior = 1.9459101490553135, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.916290731874155),
("hour", 0.916290731874155)],
n = 1}}),
("del mediod\237a",
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}}),
("Mayo",
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}}),
("Jueves",
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> de <named-month>",
Classifier{okData =
ClassData{prior = 9.53101798043249e-2,
unseen = 3.951243718581427,
likelihoods =
HashMap.fromList
[("number (0..15)Marzo", 2.833213344056216),
("integer (numeric)Abril", 2.833213344056216),
("integer (numeric)Diciembre", 3.2386784521643803),
("number (0..15)Mayo", 2.833213344056216),
("integer (numeric)Enero", 3.2386784521643803),
("integer (numeric)Marzo", 2.322387720290225),
("integer (numeric)Febrero", 2.1400661634962708),
("integer (numeric)Septiembre", 3.2386784521643803),
("month", 0.8873031950009028),
("integer (numeric)Mayo", 3.2386784521643803),
("integer (numeric)Julio", 3.2386784521643803)],
n = 20},
koData =
ClassData{prior = 2.3978952727983707, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("month", 1.6094379124341003),
("integer (numeric)Julio", 1.6094379124341003)],
n = 2}}),
("<time-of-day> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.3528213746227423, unseen = 4.31748811353631,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>in the <part-of-day>",
3.6109179126442243),
("dayhour", 2.2246235515243336),
("Lunesin the <part-of-day>", 3.6109179126442243),
("tomorrowin the <part-of-day>", 3.6109179126442243),
("a las <time-of-day>del mediod\237a", 3.6109179126442243),
("el <day-of-month> de <named-month>in the <part-of-day>",
3.6109179126442243),
("hourhour", 2.2246235515243336),
("a las <time-of-day>in the <part-of-day>",
2.3581549441488563),
("intersectin the <part-of-day>", 3.6109179126442243),
("minutehour", 1.739115735742633),
("intersect by `de`in the <part-of-day>", 3.6109179126442243),
("<hour-of-day> and halfin the <part-of-day>",
3.20545280453606),
("<hour-of-day> and <relative minutes>del mediod\237a",
3.20545280453606),
("el <time>in the <part-of-day>", 3.6109179126442243),
("<hour-of-day> and quarterin the <part-of-day>",
2.6946271807700692),
("yesterdayin the <part-of-day>", 3.6109179126442243),
("time-of-day (latent)in the <part-of-day>",
2.917770732084279)],
n = 26},
koData =
ClassData{prior = 1.213022639845854, unseen = 3.8066624897703196,
likelihoods =
HashMap.fromList
[("yearhour", 1.4816045409242156),
("year (latent)del mediod\237a", 3.0910424533583156),
("monthhour", 3.0910424533583156),
("hourhour", 3.0910424533583156),
("Febreroin the <part-of-day>", 3.0910424533583156),
("year (latent)in the <part-of-day>", 1.5869650565820417),
("time-of-day (latent)in the <part-of-day>",
3.0910424533583156)],
n = 11}}),
("de <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("monthday", 1.791759469228055),
("monthyear", 1.791759469228055),
("Diciembretime-of-day (latent)", 1.791759469228055),
("monthhour", 1.791759469228055),
("Diciembreyear (latent)", 1.791759469228055),
("Diciembre<day-of-month> de <named-month>",
1.791759469228055)],
n = 3}}),
("<time-of-day> horas",
Classifier{okData =
ClassData{prior = 1.0986122886681098,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 1.252762968495368),
("time-of-day (latent)", 1.252762968495368),
("hour", 0.8472978603872037)],
n = 2},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.7884573603642702),
("hour", 0.7884573603642702)],
n = 4}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.2113090936672069, unseen = 4.624972813284271,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>in the <part-of-day>",
3.9219733362813143),
("dayhour", 1.9760631872260008),
("Lunesin the <part-of-day>", 3.9219733362813143),
("tomorrowin the <part-of-day>", 3.9219733362813143),
("el <day-of-month> de <named-month>in the <part-of-day>",
3.9219733362813143),
("hourhour", 3.005682604407159),
("now<hour-of-day> minus quarter (as relative minutes)",
3.9219733362813143),
("dayyear", 3.005682604407159),
("a las <time-of-day>in the <part-of-day>",
2.6692103677859462),
("intersectin the <part-of-day>", 3.9219733362813143),
("<named-month> <day-of-month>del <year>", 3.9219733362813143),
("minutehour", 2.312535423847214),
("intersect by `de`in the <part-of-day>", 3.9219733362813143),
("now<hour-of-day> and <relative minutes>",
3.9219733362813143),
("<hour-of-day> and halfin the <part-of-day>",
3.5165082281731497),
("tomorrowa las <time-of-day>", 3.5165082281731497),
("Miercoles<time-of-day> <part-of-day>", 3.9219733362813143),
("Miercoles<dim time> de la manana", 3.9219733362813143),
("dayminute", 3.005682604407159),
("<named-month> <day-of-month>el <time>", 3.9219733362813143),
("Miercolesa las <time-of-day>", 3.9219733362813143),
("el <time>in the <part-of-day>", 3.9219733362813143),
("Miercolesintersect", 3.9219733362813143),
("dd[/-]mmyear", 3.5165082281731497),
("nowa las <time-of-day>", 3.5165082281731497),
("<hour-of-day> and quarterin the <part-of-day>",
3.005682604407159),
("yesterdayin the <part-of-day>", 3.9219733362813143)],
n = 34},
koData =
ClassData{prior = 1.6582280766035324, unseen = 3.912023005428146,
likelihoods =
HashMap.fromList
[("hourday", 3.1986731175506815),
("dayhour", 2.505525936990736),
("<day-of-month> de <named-month>a las <time-of-day>",
3.1986731175506815),
("<time-of-day> am|pm<day-of-month> de <named-month>",
3.1986731175506815),
("monthhour", 2.793208009442517),
("now<hour-of-day> and <relative minutes>",
3.1986731175506815),
("Diciembrea las <time-of-day>", 3.1986731175506815),
("dayminute", 2.793208009442517),
("Febreroin the <part-of-day>", 3.1986731175506815),
("nowa las <time-of-day>", 2.505525936990736)],
n = 8}}),
("Miercoles",
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}}),
("a las <time-of-day>",
Classifier{okData =
ClassData{prior = 8.338160893905101e-2,
unseen = 4.634728988229636,
likelihoods =
HashMap.fromList
[("<hour-of-day> and half", 3.2386784521643803),
("<time-of-day> horas", 3.9318256327243257),
("<hour-of-day> and quarter", 3.0155349008501706),
("time-of-day (latent)", 1.2237754316221157),
("<hour-of-day> and <relative minutes>", 2.833213344056216),
("<time-of-day> am|pm", 3.9318256327243257),
("<hour-of-day> minus <integer> (as relative minutes)",
3.9318256327243257),
("<hour-of-day> minus quarter (as relative minutes)",
3.5263605246161616),
("hour", 1.1592369104845446), ("minute", 1.8523840910444898)],
n = 46},
koData =
ClassData{prior = 2.5257286443082556,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.791759469228055),
("<hour-of-day> and <relative minutes>", 1.791759469228055),
("hour", 1.791759469228055), ("minute", 1.791759469228055)],
n = 4}}),
("season",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("minutos (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}}),
("this <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("Lunes", 0.6931471805599453), ("day", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("year (latent)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.1786549963416462),
("number (0..15)", 0.6190392084062235),
("number (20..90)", 1.8718021769015913)],
n = 10}}),
("Viernes",
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}}),
("el <cycle> (proximo|que viene)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("week", 1.540445040947149),
("semana (grain)", 1.540445040947149),
("mes (grain)", 1.9459101490553135),
("year", 1.9459101490553135),
("a\241o (grain)", 1.9459101490553135),
("month", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
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}}),
("<hour-of-day> and quarter",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.0910424533583156,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 1.4350845252893227),
("time-of-day (latent)", 1.252762968495368),
("hour", 0.7419373447293773)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("dentro de <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("hace <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("week", 1.8718021769015913), ("year", 1.8718021769015913),
("<integer> <unit-of-duration>", 0.9555114450274363),
("hour", 1.8718021769015913), ("month", 1.8718021769015913)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("el <day-of-month> de <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4011973816621555,
likelihoods =
HashMap.fromList
[("number (0..15)Marzo", 2.6741486494265287),
("integer (numeric)Abril", 2.6741486494265287),
("number (0..15)Mayo", 2.268683541318364),
("integer (numeric)Marzo", 2.268683541318364),
("integer (numeric)Febrero", 2.6741486494265287),
("integer (numeric)Septiembre", 2.6741486494265287),
("month", 0.9694005571881036),
("integer (numeric)Mayo", 2.6741486494265287),
("integer (numeric)Julio", 2.6741486494265287)],
n = 10},
koData =
ClassData{prior = infinity, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [], n = 0}}),
("el <time>",
Classifier{okData =
ClassData{prior = 2.7398974188114388e-2,
unseen = 4.477336814478207,
likelihoods =
HashMap.fromList
[("Martes", 3.367295829986474),
("<named-month|named-day> past", 3.367295829986474),
("dd[/-]mm", 3.079613757534693),
("intersect by `de`", 2.268683541318364),
("<day-of-month> de <named-month>", 2.068012845856213),
("<time-of-day> <part-of-day>", 3.7727609380946383),
("intersect", 3.7727609380946383),
("Miercoles", 3.367295829986474),
("Domingo", 3.367295829986474), ("Lunes", 3.7727609380946383),
("day", 0.9395475940384223), ("year", 3.7727609380946383),
("day of month (1st)", 3.367295829986474),
("<named-month|named-day> next", 3.7727609380946383),
("hour", 3.367295829986474)],
n = 36},
koData =
ClassData{prior = 3.6109179126442243,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("noon", 2.1972245773362196), ("hour", 2.1972245773362196)],
n = 1}}),
("Septiembre",
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}}),
("now",
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}}),
("ordinals (primero..10)",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("hour", 0.6931471805599453),
("evening", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("number (0..15)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.9318256327243257,
likelihoods = HashMap.fromList [("", 0.0)], n = 49},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Domingo",
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}}),
("este|en un <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("week", 1.0296194171811581),
("semana (grain)", 1.0296194171811581),
("year", 1.9459101490553135),
("a\241o (grain)", 1.9459101490553135)],
n = 5},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("numbers prefix with -, negative or minus",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.2006706954621511),
("number (0..15)", 1.7047480922384253)],
n = 9}}),
("Lunes",
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}}),
("dd-dd <month>(interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("Julio", 0.6931471805599453), ("month", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 1.0116009116784799, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = 0.45198512374305727,
unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
("mes (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods = HashMap.fromList [("", 0.0)], n = 10},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("number (20..90)",
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}}),
("<day-of-week> <day-of-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("Juevesinteger (numeric)", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("afternoon",
Classifier{okData =
ClassData{prior = 0.3364722366212129,
unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = 1.252762968495368, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 0.20359895524123955,
unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.1939224684724346),
("number (0..15)", 0.3610133455373305)],
n = 31},
koData =
ClassData{prior = 1.6916760106710724,
unseen = 2.3025850929940455,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.587786664902119),
("number (0..15)", 0.8109302162163288)],
n = 7}}),
("<hour-of-day> and <relative minutes>",
Classifier{okData =
ClassData{prior = 0.3364722366212129, unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("time-of-day (latent)number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
2.1972245773362196),
("time-of-day (latent)number (0..15)", 2.6026896854443837),
("a las <time-of-day>number (20..90)", 2.1972245773362196),
("a las <time-of-day>number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
2.1972245773362196),
("hour", 0.8979415932059586),
("a las <time-of-day>number (0..15)", 2.6026896854443837),
("time-of-day (latent)number (20..90)", 2.1972245773362196)],
n = 10},
koData =
ClassData{prior = 1.252762968495368, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("a las <time-of-day>number (20..90)", 1.6094379124341003),
("hour", 1.0986122886681098),
("time-of-day (latent)number (20..90)", 1.6094379124341003)],
n = 4}}),
("year",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 6},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 3}}),
("en <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.6635616461296463,
likelihoods =
HashMap.fromList
[("week", 2.9444389791664407), ("second", 2.9444389791664407),
("day", 2.538973871058276), ("year", 2.538973871058276),
("<integer> <unit-of-duration>", 0.8649974374866046),
("hour", 2.2512917986064953), ("month", 2.9444389791664407),
("minute", 1.845826690498331)],
n = 15},
koData =
ClassData{prior = infinity, unseen = 2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("n <cycle> (proximo|que viene)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("integer (numeric)semana (grain)", 1.791759469228055),
("year", 1.791759469228055),
("number (0..15)mes (grain)", 1.791759469228055),
("month", 1.791759469228055),
("integer (numeric)a\241o (grain)", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.587786664902119, unseen = 4.143134726391533,
likelihoods =
HashMap.fromList
[("week", 3.028522096376982),
("integer (numeric)hora (grain)", 3.4339872044851463),
("integer (numeric)dia (grain)", 3.4339872044851463),
("number (0..15)segundo (grain)", 3.4339872044851463),
("second", 3.4339872044851463),
("number (0..15)a\241o (grain)", 3.028522096376982),
("integer (numeric)minutos (grain)", 2.740840023925201),
("day", 3.028522096376982), ("year", 2.740840023925201),
("number (0..15)mes (grain)", 3.028522096376982),
("number (0..15)hora (grain)", 2.740840023925201),
("hour", 2.3353749158170367), ("month", 3.028522096376982),
("number (0..15)dia (grain)", 3.4339872044851463),
("number (0..15)minutos (grain)", 3.028522096376982),
("number (16..19 21..29)hora (grain)", 3.4339872044851463),
("minute", 2.3353749158170367),
("integer (numeric)a\241o (grain)", 3.4339872044851463),
("number (0..15)semana (grain)", 3.028522096376982)],
n = 20},
koData =
ClassData{prior = 0.8109302162163288, unseen = 4.007333185232471,
likelihoods =
HashMap.fromList
[("week", 2.890371757896165),
("integer (numeric)hora (grain)", 2.890371757896165),
("integer (numeric)dia (grain)", 2.890371757896165),
("integer (numeric)mes (grain)", 3.295836866004329),
("second", 2.890371757896165),
("number (0..15)a\241o (grain)", 3.295836866004329),
("integer (numeric)semana (grain)", 3.295836866004329),
("integer (numeric)minutos (grain)", 2.890371757896165),
("day", 2.890371757896165),
("integer (numeric)segundo (grain)", 2.890371757896165),
("year", 2.6026896854443837),
("number (0..15)mes (grain)", 2.890371757896165),
("hour", 2.890371757896165), ("month", 2.6026896854443837),
("minute", 2.890371757896165),
("integer (numeric)a\241o (grain)", 2.890371757896165),
("number (0..15)semana (grain)", 3.295836866004329)],
n = 16}}),
("proximas n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("integer (numeric)hora (grain)", 2.4849066497880004),
("integer (numeric)dia (grain)", 2.4849066497880004),
("second", 2.4849066497880004),
("number (0..15)a\241o (grain)", 2.4849066497880004),
("integer (numeric)minutos (grain)", 2.4849066497880004),
("day", 2.4849066497880004),
("integer (numeric)segundo (grain)", 2.4849066497880004),
("year", 2.4849066497880004),
("number (0..15)mes (grain)", 2.4849066497880004),
("hour", 2.4849066497880004), ("month", 2.4849066497880004),
("minute", 2.4849066497880004)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 2.5649493574615367,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> am|pm",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("a las <time-of-day>", 1.252762968495368),
("time-of-day (latent)", 1.252762968495368),
("hour", 0.8472978603872037)],
n = 2},
koData =
ClassData{prior = 1.0986122886681098, unseen = 1.791759469228055,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 0.916290731874155),
("hour", 0.916290731874155)],
n = 1}}),
("n proximas <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("integer (numeric)mes (grain)", 1.791759469228055),
("integer (numeric)semana (grain)", 1.791759469228055),
("year", 1.791759469228055), ("month", 1.791759469228055),
("integer (numeric)a\241o (grain)", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("ano nuevo",
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}}),
("la <cycle> pasado",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("week", 1.2039728043259361),
("semana (grain)", 1.2039728043259361),
("year", 1.6094379124341003),
("a\241o (grain)", 1.6094379124341003)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("la pasado <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("mes (grain)", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.3862943611198906,
likelihoods =
HashMap.fromList [("number (20..90)number (0..15)", 0.0)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("day of month (1st)",
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}}),
("Sabado",
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}}),
("Diciembre",
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}}),
("a\241o (grain)",
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}}),
("Julio",
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}}),
("<hour-of-day> minus <integer> (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("time-of-day (latent)number (0..15)", 1.252762968495368),
("hour", 0.8472978603872037),
("a las <time-of-day>number (0..15)", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month|named-day> next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("Martes", 1.6094379124341003),
("Miercoles", 1.6094379124341003),
("el <time>", 1.6094379124341003),
("day", 0.916290731874155)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("number (16..19 21..29)",
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}}),
("<dim time> de la tarde",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("<hour-of-day> and half", 2.5902671654458267),
("a las <time-of-day>", 1.6094379124341003),
("<hour-of-day> and quarter", 2.0794415416798357),
("time-of-day (latent)", 2.0794415416798357),
("hour", 1.491654876777717), ("minute", 1.3862943611198906)],
n = 17},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("el proximo <cycle> ",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("week", 1.540445040947149),
("semana (grain)", 1.540445040947149),
("mes (grain)", 1.9459101490553135),
("year", 1.9459101490553135),
("a\241o (grain)", 1.9459101490553135),
("month", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<hour-of-day> minus quarter (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("a las <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}}),
("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}}),
("del <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("dd[/-.]mm[/-.]yyyy",
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}}),
("noon",
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}}),
("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}}),
("Febrero",
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}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.916290731874155, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("minuteminute", 1.791759469228055),
("dayday", 1.791759469228055),
("hh(:|.|h)mm (time-of-day)hh(:|.|h)mm (time-of-day)",
1.791759469228055),
("<day-of-month> de <named-month><day-of-month> de <named-month>",
1.791759469228055)],
n = 2},
koData =
ClassData{prior = 0.5108256237659907, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("monthday", 1.9459101490553135),
("dayyear", 1.540445040947149),
("Diciembre<day-of-month> de <named-month>",
1.9459101490553135),
("dd[/-]mmyear", 1.540445040947149)],
n = 3}}),
("Enero",
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}}),
("el <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 6.453852113757118e-2,
unseen = 2.890371757896165,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.2682639865946794),
("number (0..15)", 1.4469189829363254)],
n = 15},
koData =
ClassData{prior = 2.772588722239781, unseen = 1.3862943611198906,
likelihoods =
HashMap.fromList [("integer (numeric)", 0.40546510810816444)],
n = 1}}),
("segundo (grain)",
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}}),
("Marzo",
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}}),
("<named-month> <day-of-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.6094379124341003,
likelihoods =
HashMap.fromList
[("month", 0.6931471805599453),
("Mayointeger (numeric)", 0.6931471805599453)],
n = 1},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("dia (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("in the <part-of-day>",
Classifier{okData =
ClassData{prior = 0.3101549283038396, unseen = 3.295836866004329,
likelihoods =
HashMap.fromList
[("afternoon", 1.466337068793427),
("hour", 0.7731898882334817), ("evening", 2.159484249353372),
("morning", 1.6486586255873816)],
n = 11},
koData =
ClassData{prior = 1.3217558399823195,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("afternoon", 1.3862943611198906),
("hour", 0.8754687373538999),
("morning", 1.3862943611198906)],
n = 4}}),
("morning",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
("week-end",
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}}),
("Nochevieja",
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}}),
("hora (grain)",
Classifier{okData =
ClassData{prior = 0.15415067982725836,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 1.9459101490553135,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("right now",
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}}),
("Navidad",
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}}),
("ce <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("season", 1.6094379124341003), ("Lunes", 2.0149030205422647),
("day", 1.3217558399823195), ("hour", 1.6094379124341003),
("week-end", 1.6094379124341003)],
n = 5},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}})]