module Duckling.Ranking.Classifiers.PT (classifiers) where
import Prelude
import Duckling.Ranking.Types
import qualified Data.HashMap.Strict as HashMap
import Data.String
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<cycle> (que vem)",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("week", 1.540445040947149),
("semana (grain)", 1.540445040947149),
("mes (grain)", 1.9459101490553135),
("year", 1.9459101490553135),
("ano (grain)", 1.9459101490553135),
("month", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("semana (grain)", 1.791759469228055),
("mes (grain)", 1.791759469228055),
("year", 1.791759469228055),
("ano (grain)", 1.791759469228055),
("month", 1.791759469228055)],
n = 3}}),
("midnight",
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}}),
("<dim time> da tarde",
Classifier{okData =
ClassData{prior = 0.24686007793152578, unseen = 4.0943445622221,
likelihoods =
HashMap.fromList
[("<hour-of-day> and half", 2.468099531471619),
("time-of-day (latent)", 2.9789251552376097),
("<hour-of-day> and <relative minutes>", 2.1316272948504063),
("hour", 2.468099531471619),
("<hour-of-day> and quinze", 2.468099531471619),
("minute", 0.9864949905474035),
("\224s <time-of-day>", 1.7749523509116738)],
n = 25},
koData =
ClassData{prior = 1.5198257537444133,
unseen = 3.1780538303479458,
likelihoods =
HashMap.fromList
[("year (latent)", 1.3437347467010947),
("time-of-day (latent)", 2.03688192726104),
("year", 1.3437347467010947), ("hour", 2.03688192726104)],
n = 7}}),
("de <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.3025850929940455,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.252762968495368),
("hour", 0.8472978603872037),
("\224s <time-of-day>", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = 0.6427163269330534, unseen = 4.143134726391533,
likelihoods = HashMap.fromList [("", 0.0)], n = 61},
koData =
ClassData{prior = 0.7462570058738938, unseen = 4.04305126783455,
likelihoods = HashMap.fromList [("", 0.0)], n = 55}}),
("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 = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("proximo <cycle> ",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("week", 1.540445040947149),
("semana (grain)", 1.540445040947149),
("mes (grain)", 1.9459101490553135),
("year", 1.9459101490553135),
("ano (grain)", 1.9459101490553135),
("month", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("semana (grain)", 1.791759469228055),
("mes (grain)", 1.791759469228055),
("year", 1.791759469228055),
("ano (grain)", 1.791759469228055),
("month", 1.791759469228055)],
n = 3}}),
("dd[/-]mm",
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}}),
("intersect by `da` or `de`",
Classifier{okData =
ClassData{prior = 0.6443570163905132, unseen = 4.31748811353631,
likelihoods =
HashMap.fromList
[("day of month (1st)named-month", 3.20545280453606),
("daymonth", 3.20545280453606),
("<day-of-month> de <named-month>two time tokens separated by \",\"2",
3.6109179126442243),
("<day-of-month> de <named-month>intersect",
3.6109179126442243),
("<day-of-month> de <named-month>two time tokens separated by \",\"",
3.6109179126442243),
("dayday", 2.917770732084279),
("dayyear", 1.6650077635889111),
("named-dayproximo <cycle> ", 3.6109179126442243),
("dd-dd <month>(interval)year", 3.6109179126442243),
("named-day<cycle> (que vem)", 3.6109179126442243),
("two time tokens separated by \",\"2year", 3.20545280453606),
("intersectyear", 3.6109179126442243),
("<day-of-month> de <named-month>year", 2.2246235515243336),
("two time tokens separated by \",\"year", 3.20545280453606),
("dayweek", 2.917770732084279),
("named-day<cycle> passado", 3.6109179126442243)],
n = 21},
koData =
ClassData{prior = 0.7444404749474959,
unseen = 4.2626798770413155,
likelihoods =
HashMap.fromList
[("<hour-of-day> <integer> (as relative minutes)intersect",
3.5553480614894135),
("monthday", 2.8622008809294686),
("monthyear", 2.05127066471314),
("hourmonth", 3.1498829533812494),
("monthmonth", 3.5553480614894135),
("dayyear", 3.5553480614894135),
("minutemonth", 2.8622008809294686),
("named-monthyear", 2.05127066471314),
("de <datetime> - <datetime> (interval)named-month",
3.5553480614894135),
("\224s <time-of-day>named-month", 3.1498829533812494),
("<hour-of-day> <integer> (as relative minutes)named-month",
3.5553480614894135),
("<day-of-month> de <named-month>year", 3.5553480614894135),
("intersect by `da` or `de`year", 3.5553480614894135),
("named-monthtwo time tokens separated by \",\"2",
3.5553480614894135),
("named-monthintersect", 3.5553480614894135),
("<hour-of-day> <integer> (as relative minutes)intersect by `da` or `de`",
3.5553480614894135),
("minuteyear", 3.5553480614894135),
("named-monthtwo time tokens separated by \",\"",
3.5553480614894135)],
n = 19}}),
("<hour-of-day> and half",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.1354942159291497,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.4816045409242156),
("noon", 2.3978952727983707), ("hour", 0.7884573603642702),
("\224s <time-of-day>", 1.4816045409242156)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("semana (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}}),
("two time tokens separated by \",\"",
Classifier{okData =
ClassData{prior = 0.1670540846631662,
unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("intersectnamed-day", 2.772588722239781),
("intersect by `da` or `de`named-day", 2.772588722239781),
("dayday", 1.1631508098056809),
("de <year>named-day", 2.772588722239781),
("named-dayintersect", 2.367123614131617),
("named-dayintersect by `da` or `de`", 2.367123614131617),
("yearnamed-day", 2.772588722239781),
("named-day<day-of-month> de <named-month>",
2.0794415416798357),
("yearday", 2.367123614131617)],
n = 11},
koData =
ClassData{prior = 1.8718021769015913, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("monthday", 1.540445040947149),
("intersectnamed-day", 1.9459101490553135),
("intersect by `da` or `de`named-day", 1.9459101490553135)],
n = 2}}),
("ordinals (primeiro..10)",
Classifier{okData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 3.4657359027997265,
likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
("<day-of-month> de <named-month>",
Classifier{okData =
ClassData{prior = 7.410797215372185e-2,
unseen = 4.02535169073515,
likelihoods =
HashMap.fromList
[("number (0..15)named-month", 1.927891643552635),
("integer (numeric)named-month", 1.0116009116784799),
("month", 0.7114963192281418)],
n = 26},
koData =
ClassData{prior = 2.639057329615259, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("integer (numeric)named-month", 0.8472978603872037),
("month", 0.8472978603872037)],
n = 2}}),
("<time-of-day> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.33270575382573614,
unseen = 4.584967478670572,
likelihoods =
HashMap.fromList
[("<hour-of-day> and quinzeafternoon", 2.9652730660692823),
("<day-of-month> de <named-month>morning", 3.8815637979434374),
("dayhour", 3.4760986898352733),
("\224s <time-of-day>morning", 3.188416617383492),
("hourhour", 1.8021222562636017),
("<hour-of-day> and halfafternoon", 2.9652730660692823),
("minutehour", 1.483668525145067),
("time-of-day (latent)morning", 3.188416617383492),
("time-of-day (latent)evening", 3.4760986898352733),
("\224s <time-of-day>afternoon", 2.2721258855093374),
("dia <day-of-month> de <named-month>morning",
3.8815637979434374),
("time-of-day (latent)afternoon", 3.4760986898352733),
("<hour-of-day> and <relative minutes>afternoon",
2.62880082944807),
("intersectmorning", 3.8815637979434374),
("\224s <time-of-day>evening", 3.4760986898352733)],
n = 38},
koData =
ClassData{prior = 1.262241712449912, unseen = 3.951243718581427,
likelihoods =
HashMap.fromList
[("yearhour", 1.4469189829363254),
("monthhour", 3.2386784521643803),
("hourhour", 2.5455312716044354),
("time-of-day (latent)morning", 3.2386784521643803),
("year (latent)afternoon", 2.1400661634962708),
("named-monthmorning", 3.2386784521643803),
("year (latent)evening", 2.833213344056216),
("time-of-day (latent)afternoon", 2.833213344056216),
("year (latent)morning", 2.322387720290225)],
n = 15}}),
("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),
("monthhour", 1.791759469228055),
("named-monthyear (latent)", 1.791759469228055),
("named-monthtime-of-day (latent)", 1.791759469228055),
("named-month<day-of-month> de <named-month>",
1.791759469228055)],
n = 3}}),
("<time-of-day> horas",
Classifier{okData =
ClassData{prior = 0.7731898882334817,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.5040773967762742),
("hour", 0.9444616088408514),
("depois das <time-of-day>", 1.791759469228055),
("\224s <time-of-day>", 2.1972245773362196)],
n = 6},
koData =
ClassData{prior = 0.6190392084062235, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.2039728043259361),
("<hour-of-day> and <relative minutes>", 2.3025850929940455),
("hour", 1.0498221244986778), ("minute", 2.3025850929940455),
("\224s <time-of-day>", 2.3025850929940455)],
n = 7}}),
("intersect",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 5.062595033026967,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>in the <part-of-day>",
3.9576335166801986),
("dayhour", 2.4171884757330493),
("<day-of-month> de <named-month>two time tokens separated by \",\"2",
4.363098624788362),
("nowquinze para as <hour-of-day> (as relative minutes)",
4.363098624788362),
("intersectnamed-day", 4.363098624788362),
("now\224s <time-of-day>", 3.9576335166801986),
("<day-of-month> de <named-month>intersect",
4.363098624788362),
("now<hour-of-day> and 3/4", 4.363098624788362),
("intersect by `da` or `de`named-day", 4.363098624788362),
("<day-of-month> de <named-month>two time tokens separated by \",\"",
4.363098624788362),
("dayday", 2.8590212280120886),
("hourhour", 4.363098624788362),
("named-day\224s <time-of-day>", 4.363098624788362),
("dayyear", 2.348195604246098),
("minutehour", 3.1103356562929947),
("<hour-of-day> and quinzein the <part-of-day>",
3.9576335166801986),
("de <year>named-day", 4.363098624788362),
("now<hour-of-day> and <relative minutes>", 4.363098624788362),
("named-dayin the <part-of-day>", 4.363098624788362),
("tomorrow<time-of-day> horas", 3.9576335166801986),
("now<integer> para as <hour-of-day> (as relative minutes)",
4.363098624788362),
("\224s <time-of-day>in the <part-of-day>",
3.6699514442284173),
("named-dayintersect", 4.363098624788362),
("named-dayamanh\227 pela <part-of-day>", 4.363098624788362),
("dayminute", 3.1103356562929947),
("named-dayintersect by `da` or `de`", 4.363098624788362),
("yearnamed-day", 4.363098624788362),
("dd-dd <month>(interval)de <year>", 4.363098624788362),
("named-day<day-of-month> de <named-month>",
4.363098624788362),
("named-day<time-of-day> <part-of-day>", 4.363098624788362),
("dia <day-of-month> de <named-month>in the <part-of-day>",
3.9576335166801986),
("yearday", 3.9576335166801986),
("named-day<dim time> da manha", 4.363098624788362),
("two time tokens separated by \",\"de <year>",
3.9576335166801986),
("dd[/-]mmyear", 4.363098624788362),
("<day-of-month> de <named-month>de <year>",
2.976804263668472),
("tomorrowdepois das <time-of-day>", 3.9576335166801986),
("<hour-of-day> and <relative minutes>in the <part-of-day>",
3.9576335166801986),
("two time tokens separated by \",\"2de <year>",
3.9576335166801986),
("intersectde <year>", 4.363098624788362)],
n = 50},
koData =
ClassData{prior = 1.0986122886681098, unseen = 4.68213122712422,
likelihoods =
HashMap.fromList
[("hourday", 3.979681653901961),
("dayhour", 3.5742165457937967),
("monthday", 2.8810693652338513),
("named-month\224s <time-of-day>", 3.979681653901961),
("monthyear", 2.4756042571256867),
("intersectnamed-day", 3.979681653901961),
("now\224s <time-of-day>", 3.5742165457937967),
("<time-of-day> am|pm<day-of-month> de <named-month>",
3.979681653901961),
("intersect by `da` or `de`named-day", 3.979681653901961),
("monthhour", 3.2865344733420154),
("dayyear", 3.979681653901961),
("now<hour-of-day> and <relative minutes>", 3.979681653901961),
("daysecond", 3.979681653901961),
("named-dayright now", 3.979681653901961),
("dayminute", 3.5742165457937967),
("named-monthde <year>", 2.4756042571256867),
("named-monthin the <part-of-day>", 3.5742165457937967),
("named-monthtwo time tokens separated by \",\"2",
3.979681653901961),
("intersect by `da` or `de`de <year>", 3.979681653901961),
("named-monthintersect", 3.979681653901961),
("<day-of-month> de <named-month>\224s <time-of-day>",
3.979681653901961),
("<hour-of-day> <integer> (as relative minutes)year",
3.979681653901961),
("<day-of-month> de <named-month>de <year>",
3.979681653901961),
("minuteyear", 3.5742165457937967),
("named-monthtwo time tokens separated by \",\"",
3.979681653901961)],
n = 25}}),
("season",
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}}),
("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}}),
("two time tokens separated by \",\"2",
Classifier{okData =
ClassData{prior = 0.1670540846631662,
unseen = 3.4965075614664802,
likelihoods =
HashMap.fromList
[("intersectnamed-day", 2.772588722239781),
("intersect by `da` or `de`named-day", 2.772588722239781),
("dayday", 1.1631508098056809),
("de <year>named-day", 2.772588722239781),
("named-dayintersect", 2.367123614131617),
("named-dayintersect by `da` or `de`", 2.367123614131617),
("yearnamed-day", 2.772588722239781),
("named-day<day-of-month> de <named-month>",
2.0794415416798357),
("yearday", 2.367123614131617)],
n = 11},
koData =
ClassData{prior = 1.8718021769015913, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("monthday", 1.540445040947149),
("intersectnamed-day", 1.9459101490553135),
("intersect by `da` or `de`named-day", 1.9459101490553135)],
n = 2}}),
("year (latent)",
Classifier{okData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.3217558399823195),
("number (0..15)", 0.5108256237659907),
("number (20..90)", 2.0149030205422647)],
n = 12}}),
("n[ao] <date>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.0794415416798357,
likelihoods =
HashMap.fromList
[("dia <day-of-month> (non ordinal)", 1.252762968495368),
("day", 0.8472978603872037),
("named-day", 1.252762968495368)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("yesterday",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("amanh\227 pela <part-of-day>",
Classifier{okData =
ClassData{prior = 0.3184537311185346,
unseen = 4.6443908991413725,
likelihoods =
HashMap.fromList
[("<hour-of-day> and quinzeafternoon", 3.0252910757955354),
("<day-of-month> de <named-month>morning", 3.9415818076696905),
("dayhour", 3.0252910757955354),
("\224s <time-of-day>morning", 3.248434627109745),
("hourhour", 1.8621402659898547),
("<hour-of-day> and halfafternoon", 3.0252910757955354),
("minutehour", 1.54368653487132),
("tomorrowevening", 3.9415818076696905),
("time-of-day (latent)morning", 3.248434627109745),
("time-of-day (latent)evening", 3.536116699561526),
("\224s <time-of-day>afternoon", 2.33214389523559),
("dia <day-of-month> de <named-month>morning",
3.9415818076696905),
("yesterdayevening", 3.9415818076696905),
("time-of-day (latent)afternoon", 3.536116699561526),
("<hour-of-day> and <relative minutes>afternoon",
2.6888188391743224),
("intersectmorning", 3.9415818076696905),
("\224s <time-of-day>evening", 3.536116699561526)],
n = 40},
koData =
ClassData{prior = 1.2992829841302609,
unseen = 3.9889840465642745,
likelihoods =
HashMap.fromList
[("yearhour", 1.4853852637641216),
("monthhour", 3.2771447329921766),
("hourhour", 2.583997552432231),
("time-of-day (latent)morning", 3.2771447329921766),
("year (latent)afternoon", 2.178532444324067),
("named-monthmorning", 3.2771447329921766),
("year (latent)evening", 2.871679624884012),
("time-of-day (latent)afternoon", 2.871679624884012),
("year (latent)morning", 2.3608540011180215)],
n = 15}}),
("dentro de <duration>",
Classifier{okData =
ClassData{prior = 2.772588722239781, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration>", 1.6094379124341003),
("hour", 1.6094379124341003)],
n = 1},
koData =
ClassData{prior = 6.453852113757118e-2,
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}}),
("dia <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("named-month",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.4339872044851463,
likelihoods = HashMap.fromList [("", 0.0)], n = 29},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
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}}),
("dia <day-of-month> de <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("integer (numeric)named-month", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("hour", 0.6931471805599453),
("evening", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("number (0..15)",
Classifier{okData =
ClassData{prior = 1.9048194970694474e-2,
unseen = 3.9889840465642745,
likelihoods = HashMap.fromList [("", 0.0)], n = 52},
koData =
ClassData{prior = 3.970291913552122, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("antes das <time-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("midnight", 1.2992829841302609),
("noon", 1.2992829841302609), ("hour", 0.7884573603642702)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("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 = 1.791759469228055,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 4}}),
("dd-dd <month>(interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("named-month", 0.6931471805599453),
("month", 0.6931471805599453)],
n = 2},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<cycle> passado",
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),
("ano (grain)", 1.9459101490553135),
("month", 1.9459101490553135)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("tomorrow",
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}}),
("mes (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> para as <hour-of-day> (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)noon", 1.7047480922384253),
("hour", 0.7884573603642702),
("number (0..15)noon", 1.0116009116784799)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("number (20..90)",
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}}),
("<dim time> da manha",
Classifier{okData =
ClassData{prior = 0.2006706954621511, unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("<day-of-month> de <named-month>", 2.6026896854443837),
("intersect", 2.6026896854443837),
("dia <day-of-month> de <named-month>", 2.6026896854443837),
("day", 2.1972245773362196),
("time-of-day (latent)", 1.9095425048844386),
("hour", 1.2163953243244932),
("\224s <time-of-day>", 1.9095425048844386)],
n = 9},
koData =
ClassData{prior = 1.7047480922384253, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("named-month", 1.8718021769015913),
("time-of-day (latent)", 1.8718021769015913),
("hour", 1.8718021769015913), ("month", 1.8718021769015913)],
n = 2}}),
("em <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}}),
("passados n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("integer (numeric)dia (grain)", 1.791759469228055),
("integer (numeric)mes (grain)", 1.791759469228055),
("integer (numeric)ano (grain)", 1.791759469228055),
("day", 1.791759469228055), ("year", 1.791759469228055),
("month", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("afternoon",
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}}),
("<hour-of-day> and 3/4",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.4849066497880004,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.2992829841302609),
("hour", 0.7884573603642702),
("\224s <time-of-day>", 1.2992829841302609)],
n = 4},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = 0.43286408229627876,
unseen = 3.332204510175204,
likelihoods =
HashMap.fromList
[("integer (numeric)", 1.0986122886681098),
("number (0..15)", 0.46262352194811296)],
n = 24},
koData =
ClassData{prior = 1.0459685551826876, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("integer (numeric)", 0.8266785731844679),
("number (0..15)", 0.8266785731844679),
("number (20..90)", 2.0794415416798357)],
n = 13}}),
("<hour-of-day> and <relative minutes>",
Classifier{okData =
ClassData{prior = 0.2719337154836418, unseen = 3.713572066704308,
likelihoods =
HashMap.fromList
[("\224s <time-of-day>number (0..15)", 2.3025850929940455),
("time-of-day (latent)number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
2.5902671654458267),
("\224s <time-of-day>number (20..90)", 2.5902671654458267),
("\224s <time-of-day>number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)",
2.5902671654458267),
("time-of-day (latent)number (0..15)", 2.0794415416798357),
("hour", 0.8556661100577202),
("time-of-day (latent)number (20..90)", 2.5902671654458267),
("noonnumber (0..15)", 2.995732273553991)],
n = 16},
koData =
ClassData{prior = 1.4350845252893227,
unseen = 2.9444389791664407,
likelihoods =
HashMap.fromList
[("\224s <time-of-day>number (20..90)", 1.791759469228055),
("time-of-day (latent)number (0..15)", 2.1972245773362196),
("hour", 1.0986122886681098),
("time-of-day (latent)number (20..90)", 1.791759469228055)],
n = 5}}),
("year",
Classifier{okData =
ClassData{prior = 0.5108256237659907,
unseen = 2.3978952727983707,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 9},
koData =
ClassData{prior = 0.916290731874155, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 6}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = 0.6443570163905132, unseen = 4.174387269895637,
likelihoods =
HashMap.fromList
[("week", 2.772588722239781),
("number (0..15)ano (grain)", 3.0602707946915624),
("integer (numeric)hora (grain)", 3.4657359027997265),
("integer (numeric)dia (grain)", 3.4657359027997265),
("number (0..15)segundo (grain)", 3.4657359027997265),
("second", 3.4657359027997265),
("integer (numeric)ano (grain)", 3.4657359027997265),
("integer (numeric)minutos (grain)", 2.772588722239781),
("number (21..29 31..39 41..49 51..59 61..69 71..79 81..89 91..99)hora (grain)",
3.4657359027997265),
("day", 3.0602707946915624), ("year", 2.772588722239781),
("number (0..15)mes (grain)", 3.0602707946915624),
("number (0..15)hora (grain)", 2.772588722239781),
("hour", 2.367123614131617), ("month", 3.0602707946915624),
("number (0..15)dia (grain)", 3.4657359027997265),
("number (0..15)minutos (grain)", 3.0602707946915624),
("minute", 2.367123614131617),
("number (0..15)semana (grain)", 2.772588722239781)],
n = 21},
koData =
ClassData{prior = 0.7444404749474959, unseen = 4.110873864173311,
likelihoods =
HashMap.fromList
[("week", 2.995732273553991),
("number (0..15)ano (grain)", 3.4011973816621555),
("integer (numeric)hora (grain)", 2.70805020110221),
("integer (numeric)dia (grain)", 2.995732273553991),
("integer (numeric)mes (grain)", 3.4011973816621555),
("second", 2.995732273553991),
("integer (numeric)semana (grain)", 3.4011973816621555),
("integer (numeric)ano (grain)", 2.995732273553991),
("integer (numeric)minutos (grain)", 2.995732273553991),
("day", 2.995732273553991),
("integer (numeric)segundo (grain)", 2.995732273553991),
("year", 2.70805020110221),
("number (0..15)mes (grain)", 2.995732273553991),
("number (0..15)hora (grain)", 2.995732273553991),
("hour", 2.3025850929940455), ("month", 2.70805020110221),
("minute", 2.995732273553991),
("number (0..15)semana (grain)", 3.4011973816621555)],
n = 19}}),
("proximas n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.2188758248682006,
likelihoods =
HashMap.fromList
[("number (0..15)ano (grain)", 2.4849066497880004),
("integer (numeric)hora (grain)", 2.4849066497880004),
("integer (numeric)dia (grain)", 2.4849066497880004),
("second", 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
[("time-of-day (latent)", 1.252762968495368),
("hour", 0.8472978603872037),
("\224s <time-of-day>", 1.252762968495368)],
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),
("integer (numeric)ano (grain)", 1.791759469228055),
("year", 1.791759469228055), ("month", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("vespera de ano novo",
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}}),
("named-day",
Classifier{okData =
ClassData{prior = 0.0, unseen = 4.189654742026425,
likelihoods = HashMap.fromList [("", 0.0)], n = 64},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
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 = 1.6094379124341003,
likelihoods =
HashMap.fromList [("number (20..90)number (0..15)", 0.0)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("day of month (1st)",
Classifier{okData =
ClassData{prior = 1.0986122886681098,
unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = 0.40546510810816444,
unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("ano (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}}),
("este <cycle>",
Classifier{okData =
ClassData{prior = 0.916290731874155, unseen = 2.3978952727983707,
likelihoods =
HashMap.fromList
[("week", 1.6094379124341003),
("semana (grain)", 1.6094379124341003),
("year", 1.6094379124341003),
("ano (grain)", 1.6094379124341003)],
n = 2},
koData =
ClassData{prior = 0.5108256237659907,
unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("day", 1.0986122886681098),
("dia (grain)", 1.0986122886681098)],
n = 3}}),
("<named-month|named-day> next",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<part-of-day> dessa semana",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("the day after tomorrow",
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}}),
("ano novo",
Classifier{okData =
ClassData{prior = 0.2876820724517809,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = 1.3862943611198906,
unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("dd[/-.]mm[/-.]yyyy",
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}}),
("noon",
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}}),
("n <cycle> (proximo|que vem)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055),
("integer (numeric)semana (grain)", 1.791759469228055),
("integer (numeric)ano (grain)", 1.791759469228055),
("year", 1.791759469228055),
("number (0..15)mes (grain)", 1.791759469228055),
("month", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("evening",
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}}),
("<hour-of-day> and quinze",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", 1.3862943611198906),
("noon", 2.3025850929940455), ("hour", 0.7985076962177716),
("\224s <time-of-day>", 1.6094379124341003)],
n = 8},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("depois das <time-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("<time-of-day> horas", 1.6739764335716716),
("time-of-day (latent)", 1.6739764335716716),
("noon", 1.6739764335716716), ("hour", 0.8266785731844679)],
n = 6},
koData =
ClassData{prior = infinity, unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = 0.916290731874155, unseen = 2.70805020110221,
likelihoods =
HashMap.fromList
[("minuteminute", 1.9459101490553135),
("dayday", 1.9459101490553135),
("hh(:|.|h)mm (time-of-day)hh(:|.|h)mm (time-of-day)",
1.9459101490553135),
("<day-of-month> de <named-month><day-of-month> de <named-month>",
1.9459101490553135)],
n = 2},
koData =
ClassData{prior = 0.5108256237659907, unseen = 2.833213344056216,
likelihoods =
HashMap.fromList
[("monthday", 2.0794415416798357),
("dayyear", 2.0794415416798357),
("named-month<day-of-month> de <named-month>",
2.0794415416798357),
("dd[/-]mmyear", 2.0794415416798357),
("<hour-of-day> <integer> (as relative minutes)year",
2.0794415416798357),
("minuteyear", 2.0794415416798357)],
n = 3}}),
("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}}),
("dia (grain)",
Classifier{okData =
ClassData{prior = 0.5596157879354228, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = 0.8472978603872037,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("in the <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.639057329615259,
likelihoods =
HashMap.fromList
[("afternoon", 1.8718021769015913),
("hour", 0.7731898882334817),
("morning", 0.9555114450274363)],
n = 5},
koData =
ClassData{prior = infinity, unseen = 1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.044522437723423,
likelihoods =
HashMap.fromList
[("day", 0.6931471805599453),
("named-day", 0.6931471805599453)],
n = 9},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("natal",
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}}),
("morning",
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}}),
("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}}),
("hora (grain)",
Classifier{okData =
ClassData{prior = 0.40546510810816444,
unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = 1.0986122886681098,
unseen = 1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("right now",
Classifier{okData =
ClassData{prior = 0.1823215567939546,
unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = 1.791759469228055, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quinze para as <hour-of-day> (as relative minutes)",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.1972245773362196,
likelihoods =
HashMap.fromList
[("noon", 0.6931471805599453), ("hour", 0.6931471805599453)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("\224s <time-of-day>",
Classifier{okData =
ClassData{prior = 0.16507975035944858,
unseen = 4.499809670330265,
likelihoods =
HashMap.fromList
[("<time> timezone", 3.7954891891721947),
("<hour-of-day> and half", 2.8791984572980396),
("<time-of-day> horas", 3.7954891891721947),
("<hour-of-day> and 3/4", 3.39002408106403),
("time-of-day (latent)", 1.4441139320087168),
("<hour-of-day> and <relative minutes>", 2.409194828052304),
("<time-of-day> am|pm", 3.7954891891721947),
("hour", 1.3105825393841943),
("<hour-of-day> and quinze", 3.1023420086122493),
("minute", 1.6554230256759237)],
n = 39},
koData =
ClassData{prior = 1.8827312474337816, unseen = 3.258096538021482,
likelihoods =
HashMap.fromList
[("midnight", 2.5257286443082556),
("<time-of-day> horas", 2.5257286443082556),
("time-of-day (latent)", 1.8325814637483102),
("<hour-of-day> and <relative minutes>", 2.120263536200091),
("hour", 1.4271163556401458), ("minute", 2.120263536200091)],
n = 7}}),
("<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 = 1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)integer (numeric)", 0.6931471805599453),
("hour", 0.6931471805599453)],
n = 2}}),
("fazem <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.772588722239781,
likelihoods =
HashMap.fromList
[("week", 1.6094379124341003), ("year", 2.0149030205422647),
("<integer> <unit-of-duration>", 0.916290731874155),
("hour", 2.0149030205422647), ("month", 2.0149030205422647)],
n = 5},
koData =
ClassData{prior = infinity, unseen = 1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("n <cycle> atras",
Classifier{okData =
ClassData{prior = 0.0, unseen = 2.5649493574615367,
likelihoods =
HashMap.fromList
[("week", 1.791759469228055), ("second", 1.791759469228055),
("integer (numeric)minutos (grain)", 1.791759469228055),
("integer (numeric)segundo (grain)", 1.791759469228055),
("minute", 1.791759469228055),
("number (0..15)semana (grain)", 1.791759469228055)],
n = 3},
koData =
ClassData{prior = infinity, unseen = 1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("this <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = 3.5263605246161616,
likelihoods =
HashMap.fromList
[("season", 2.1102132003465894),
("dia <day-of-month> (non ordinal)", 2.1102132003465894),
("day", 1.1939224684724346),
("named-day", 2.1102132003465894),
("hour", 1.8870696490323797), ("evening", 2.3978952727983707),
("week-end", 2.3978952727983707)],
n = 13},
koData =
ClassData{prior = infinity, unseen = 2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}})]