duckling/Duckling/Ranking/Classifiers/EN_XX.hs

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-- Copyright (c) 2016-present, Facebook, Inc.
-- All rights reserved.
--
-- This source code is licensed under the BSD-style license found in the
-- LICENSE file in the root directory of this source tree. An additional grant
-- of patent rights can be found in the PATENTS file in the same directory.
-----------------------------------------------------------------
-- Auto-generated by regenClassifiers
--
-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
-- @generated
-----------------------------------------------------------------
{-# LANGUAGE OverloadedStrings #-}
Locales support Summary: * Locales support for the library, following `<Lang>_<Region>` with ISO 639-1 code for `<Lang>` and ISO 3166-1 alpha-2 code for `<Region>` (#33) * `Locale` opaque type (composite of `Lang` and `Region`) with `makeLocale` smart constructor to only allow valid `(Lang, Region)` combinations * API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility. * `Rules/<Lang>.hs` exposes - `langRules`: cross-locale rules for `<Lang>`, from `<Dimension>/<Lang>/Rules.hs` - `localeRules`: locale-specific rules, from `<Dimension>/<Lang>/<Region>/Rules.hs` - `defaultRules`: `langRules` + specific rules from select locales to ensure backward-compatibility * Corpus, tests & classifiers - 1 classifier per locale, with default classifier (`<Lang>_XX`) when no locale provided (backward-compatible) - Default classifiers are built on existing corpus - Locale classifiers are built on - `<Dimension>/<Lang>/Corpus.hs` exposes a common `corpus` to all locales of `<Lang>` - `<Dimension>/<Lang>/<Region>/Corpus.hs` exposes `allExamples`: a list of examples specific to the locale (following `<Dimension>/<Lang>/<Region>/Rules.hs`). - Locale classifiers use the language corpus extended with the locale examples as training set. - Locale examples need to use the same `Context` (i.e. reference time) as the language corpus. - For backward compatibility, `<Dimension>/<Lang>/Corpus.hs` can expose also `defaultCorpus`, which is `corpus` augmented with specific examples. This is controlled by `getDefaultCorpusForLang` in `Duckling.Ranking.Generate`. - Tests run against each classifier to make sure runtime works as expected. * MM/DD (en_US) vs DD/MM (en_GB) example to illustrate Reviewed By: JonCoens, blandinw Differential Revision: D6038096 fbshipit-source-id: f29c28d
2017-10-13 18:15:32 +03:00
module Duckling.Ranking.Classifiers.EN_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
Locales support Summary: * Locales support for the library, following `<Lang>_<Region>` with ISO 639-1 code for `<Lang>` and ISO 3166-1 alpha-2 code for `<Region>` (#33) * `Locale` opaque type (composite of `Lang` and `Region`) with `makeLocale` smart constructor to only allow valid `(Lang, Region)` combinations * API: `Context`'s `lang` parameter has been replaced by `locale`, with optional `Region` and backward compatibility. * `Rules/<Lang>.hs` exposes - `langRules`: cross-locale rules for `<Lang>`, from `<Dimension>/<Lang>/Rules.hs` - `localeRules`: locale-specific rules, from `<Dimension>/<Lang>/<Region>/Rules.hs` - `defaultRules`: `langRules` + specific rules from select locales to ensure backward-compatibility * Corpus, tests & classifiers - 1 classifier per locale, with default classifier (`<Lang>_XX`) when no locale provided (backward-compatible) - Default classifiers are built on existing corpus - Locale classifiers are built on - `<Dimension>/<Lang>/Corpus.hs` exposes a common `corpus` to all locales of `<Lang>` - `<Dimension>/<Lang>/<Region>/Corpus.hs` exposes `allExamples`: a list of examples specific to the locale (following `<Dimension>/<Lang>/<Region>/Rules.hs`). - Locale classifiers use the language corpus extended with the locale examples as training set. - Locale examples need to use the same `Context` (i.e. reference time) as the language corpus. - For backward compatibility, `<Dimension>/<Lang>/Corpus.hs` can expose also `defaultCorpus`, which is `corpus` augmented with specific examples. This is controlled by `getDefaultCorpusForLang` in `Duckling.Ranking.Generate`. - Tests run against each classifier to make sure runtime works as expected. * MM/DD (en_US) vs DD/MM (en_GB) example to illustrate Reviewed By: JonCoens, blandinw Differential Revision: D6038096 fbshipit-source-id: f29c28d
2017-10-13 18:15:32 +03:00
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<integer> to|till|before <hour-of-day>",
Classifier{okData =
ClassData{prior = -2.0794415416798357, unseen = -1.791759469228055,
likelihoods =
HashMap.fromList
[("integer (numeric)noon|midnight|EOD|end of day",
-0.916290731874155),
("hour", -0.916290731874155)],
n = 1},
koData =
ClassData{prior = -0.13353139262452263,
unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("hour", -0.7537718023763802),
("integer (numeric)time-of-day (latent)", -0.7537718023763802)],
n = 7}}),
("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.4657359027997265,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -1.824549292051046),
("<time-of-day> am|pm", -1.6422277352570913),
("hh:mm", -1.824549292051046), ("hour", -1.1314021114911006),
("minute", -1.824549292051046)],
n = 13},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("Thursday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.258096538021482,
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = -0.7707054149058198, unseen = -5.236441962829949,
likelihoods = HashMap.fromList [("", 0.0)], n = 186},
koData =
ClassData{prior = -0.621173680934856, unseen = -5.384495062789089,
likelihoods = HashMap.fromList [("", 0.0)], n = 216}}),
("<duration> hence|ago",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("week", -1.563975538357343), ("day", -1.8152899666382492),
("year", -2.662587827025453),
("<integer> <unit-of-duration>", -1.0531499145913523),
("a <unit-of-duration>", -2.662587827025453),
("month", -2.662587827025453),
("fortnight", -2.662587827025453)],
n = 18},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("noon|midnight|EOD|end of day",
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}}),
("quarter to|till|before <hour-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("noon|midnight|EOD|end of day", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Father's Day",
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}}),
("<cycle> after|before <time>",
Classifier{okData =
ClassData{prior = -0.6931471805599453, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("day (grain)tomorrow", -1.6739764335716716),
("dayday", -1.1631508098056809),
("day (grain)yesterday", -1.6739764335716716)],
n = 4},
koData =
ClassData{prior = -0.6931471805599453, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("dayhour", -1.6739764335716716),
("year (grain)Christmas", -2.0794415416798357),
("dayday", -2.0794415416798357),
("day (grain)intersect", -1.6739764335716716),
("day (grain)Easter Sunday", -2.0794415416798357),
("yearday", -2.0794415416798357)],
n = 4}}),
("Easter Monday",
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}}),
("Martin Luther King's Day",
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}}),
("integer (20..90)",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("intersect 2 numbers",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList
[("compose by multiplicationinteger (0..19)",
-0.40546510810816444)],
n = 1},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -1.3862943611198906,
likelihoods =
HashMap.fromList
[("powers of tensinteger (0..19)", -0.40546510810816444)],
n = 1}}),
("mm/yyyy",
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 after|past <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}}),
("<day-of-month> (ordinal or number) <named-month>",
Classifier{okData =
ClassData{prior = -1.3862943611198906, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("ordinal (digits)December", -2.1400661634962708),
("ordinal (digits)February", -2.1400661634962708),
("integer (numeric)April", -2.1400661634962708),
("month", -1.4469189829363254)],
n = 3},
koData =
ClassData{prior = -0.2876820724517809,
unseen = -3.4011973816621555,
likelihoods =
HashMap.fromList
[("ordinal (digits)October", -2.6741486494265287),
("ordinal (digits)July", -2.6741486494265287),
("integer (numeric)September", -2.268683541318364),
("ordinal (digits)August", -2.6741486494265287),
("integer (numeric)August", -2.6741486494265287),
("ordinal (digits)April", -2.6741486494265287),
("month", -1.0647107369924282),
("integer (numeric)July", -2.268683541318364)],
n = 9}}),
("<time> <part-of-day>",
Classifier{okData =
ClassData{prior = -9.844007281325252e-2,
unseen = -4.430816798843313,
likelihoods =
HashMap.fromList
[("<day-of-month> (ordinal)in|during the <part-of-day>",
-3.7256934272366524),
("dayhour", -1.5284688499004333),
("Mondayearly morning", -3.3202283191284883),
("time-of-day (latent)tonight", -3.3202283191284883),
("hourhour", -2.339399066116762),
("<time-of-day> o'clockin|during the <part-of-day>",
-3.7256934272366524),
("todaypart of days", -3.7256934272366524),
("minutehour", -2.627081138568543),
("at <time-of-day>in|during the <part-of-day>",
-3.3202283191284883),
("time-of-day (latent)this <part-of-day>", -3.7256934272366524),
("Mondayin|during the <part-of-day>", -3.7256934272366524),
("intersectpart of days", -3.7256934272366524),
("intersectin|during the <part-of-day>", -3.7256934272366524),
("<day-of-month> (ordinal or number) of <named-month>in|during the <part-of-day>",
-3.7256934272366524),
("the <day-of-month> (ordinal)in|during the <part-of-day>",
-3.7256934272366524),
("tomorrowpart of days", -2.339399066116762),
("hh:mmin|during the <part-of-day>", -3.0325462466767075),
("time-of-day (latent)in|during the <part-of-day>",
-3.7256934272366524),
("hhmm (latent)in|during the <part-of-day>",
-3.7256934272366524),
("yesterdaypart of days", -3.7256934272366524),
("Mondaypart of days", -3.7256934272366524)],
n = 29},
koData =
ClassData{prior = -2.367123614131617, unseen = -3.4657359027997265,
likelihoods =
HashMap.fromList
[("yearhour", -2.740840023925201),
("monthhour", -2.740840023925201),
("hourhour", -2.740840023925201),
("past year (latent)in|during the <part-of-day>",
-2.740840023925201),
("Februaryin|during the <part-of-day>", -2.740840023925201),
("time-of-day (latent)in|during the <part-of-day>",
-2.740840023925201)],
n = 3}}),
("today",
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}}),
("mm/dd",
Classifier{okData =
ClassData{prior = -1.4271163556401458,
unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = -0.2744368457017603, unseen = -3.044522437723423,
likelihoods = HashMap.fromList [("", 0.0)], n = 19}}),
("at <time-of-day>",
Classifier{okData =
ClassData{prior = -9.381875521765486e-2,
unseen = -4.90527477843843,
likelihoods =
HashMap.fromList
[("<time> timezone", -3.7992275112828016),
("noon|midnight|EOD|end of day", -3.7992275112828016),
("integer after|past <hour-of-day>", -3.7992275112828016),
("half after|past <hour-of-day>", -4.204692619390966),
("time-of-day (latent)", -1.7197859696029658),
("hhmm (latent)", -3.5115454388310208),
("<time-of-day> am|pm", -1.8067973465925955),
("hh:mm", -3.288401887516811),
("about|exactly <time-of-day>", -3.7992275112828016),
("hour", -1.0911773101805915),
("<time-of-day> sharp|exactly", -4.204692619390966),
("minute", -2.0074680420547466)],
n = 61},
koData =
ClassData{prior = -2.412933150162911, unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -1.2321436812926323),
("hour", -1.2321436812926323)],
n = 6}}),
("December",
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}}),
("absorption of , after named day",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.332204510175204,
likelihoods =
HashMap.fromList
[("on <date>", -2.1972245773362196),
("Wednesday", -2.6026896854443837),
("Saturday", -2.6026896854443837),
("Monday", -2.1972245773362196),
("Friday", -1.9095425048844386), ("day", -0.8979415932059586),
("Sunday", -2.6026896854443837)],
n = 10},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("September",
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}}),
("tonight",
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}}),
("last|past|next <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.2626798770413155,
likelihoods =
HashMap.fromList
[("week", -2.456735772821304), ("second", -2.639057329615259),
("day", -2.3025850929940455), ("year", -2.639057329615259),
("<integer> <unit-of-duration>", -0.7827593392496325),
("hour", -2.639057329615259), ("month", -2.639057329615259),
("minute", -2.639057329615259)],
n = 31},
koData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("the ides of <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("March", -0.6931471805599453), ("month", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("on <date>",
Classifier{okData =
ClassData{prior = -0.1670540846631662, unseen = -4.007333185232471,
likelihoods =
HashMap.fromList
[("Thursday", -1.791759469228055), ("mm/dd", -3.295836866004329),
("absorption of , after named day", -2.890371757896165),
("intersect", -2.890371757896165),
("Saturday", -2.6026896854443837),
("Friday", -3.295836866004329), ("day", -0.8979415932059586),
("the <day-of-month> (ordinal)", -2.890371757896165),
("intersect by \",\", \"of\", \"from\", \"'s\"",
-2.6026896854443837),
("hour", -3.295836866004329)],
n = 22},
koData =
ClassData{prior = -1.8718021769015913,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("intersect", -1.791759469228055), ("day", -1.2809338454620642),
("intersect by \",\", \"of\", \"from\", \"'s\"",
-1.791759469228055)],
n = 4}}),
("integer (0..19)",
Classifier{okData =
ClassData{prior = -0.12516314295400605,
unseen = -3.8501476017100584,
likelihoods = HashMap.fromList [("", 0.0)], n = 45},
koData =
ClassData{prior = -2.1400661634962708,
unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
("between <time-of-day> and <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("minuteminute", -0.916290731874155),
("hh:mmhh:mm", -0.916290731874155)],
n = 3},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -0.916290731874155),
("minutehour", -0.916290731874155)],
n = 3}}),
("Halloween",
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}}),
("from <month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("Julyinteger (numeric)integer (numeric)", -1.6094379124341003),
("Augustordinal (digits)integer (numeric)",
-1.6094379124341003),
("month", -0.916290731874155),
("Augustordinal (digits)ordinal (digits)",
-1.6094379124341003)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("October",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods = HashMap.fromList [("", 0.0)], n = 16},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from|since|after <time-of-day>",
Classifier{okData =
ClassData{prior = -1.5198257537444133, unseen = -4.04305126783455,
likelihoods =
HashMap.fromList
[("July", -3.332204510175204),
("time-of-day (latent)", -2.4159137783010487),
("<time-of-day> am|pm", -2.4159137783010487),
("hh:mm", -2.4159137783010487), ("hour", -1.8281271133989299),
("month", -2.9267394020670396), ("minute", -2.4159137783010487),
("August", -3.332204510175204)],
n = 14},
koData =
ClassData{prior = -0.24686007793152578,
unseen = -4.859812404361672,
likelihoods =
HashMap.fromList
[("<integer> to|till|before <hour-of-day>", -3.7534179752515073),
("week", -4.1588830833596715),
("<day-of-month> (ordinal or number) <named-month>",
-4.1588830833596715),
("today", -4.1588830833596715),
("intersect", -2.772588722239781),
("second", -4.1588830833596715), ("now", -3.4657359027997265),
("tomorrow", -3.7534179752515073),
("this|last|next <cycle>", -4.1588830833596715),
("day", -1.9616585060234524),
("time-of-day (latent)", -4.1588830833596715),
("<time-of-day> am|pm", -3.7534179752515073),
("nograin", -3.4657359027997265),
("<named-month>|<named-day> <day-of-month> (ordinal)",
-4.1588830833596715),
("Easter Sunday", -4.1588830833596715),
("Christmas", -3.4657359027997265),
("hour", -2.906120114864304),
("<datetime> - <datetime> (interval)", -2.772588722239781),
("<time-of-day> - <time-of-day> (interval)",
-2.4541349911212467),
("<named-month> <day-of-month> (non ordinal)",
-3.7534179752515073),
("minute", -1.7165360479904674),
("right now", -4.1588830833596715),
("<month> dd-dd (interval)", -3.4657359027997265),
("dd-dd <month> (interval)", -3.7534179752515073)],
n = 50}}),
("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 = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("integer (numeric)minute (grain)", -0.6931471805599453),
("minute", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> o'clock",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("in|within|after <duration>",
Classifier{okData =
ClassData{prior = -4.652001563489282e-2,
unseen = -4.61512051684126,
likelihoods =
HashMap.fromList
[("week", -3.2188758248682006),
("<integer> more <unit-of-duration>", -3.912023005428146),
("three-quarters of an hour", -2.995732273553991),
("<integer> + '\"", -3.2188758248682006),
("number.number hours", -3.912023005428146),
("second", -3.506557897319982), ("day", -3.2188758248682006),
("half an hour", -2.995732273553991),
("<integer> <unit-of-duration>", -1.6094379124341003),
("a <unit-of-duration>", -2.995732273553991),
("quarter of an hour", -2.995732273553991),
("hour", -2.5257286443082556),
("about|exactly <duration>", -3.912023005428146),
("<integer> and an half hour", -3.912023005428146),
("minute", -1.2729656758128873)],
n = 42},
koData =
ClassData{prior = -3.0910424533583156, unseen = -3.044522437723423,
likelihoods =
HashMap.fromList
[("quarter", -1.8971199848858813),
("<integer> <unit-of-duration>", -2.3025850929940455),
("a <unit-of-duration>", -2.3025850929940455)],
n = 2}}),
("three-quarters of an hour",
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}}),
("Wednesday",
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}}),
("half after|past <hour-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> + '\"",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("half <integer> (UK style 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}}),
("July",
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}}),
("hour (grain)",
Classifier{okData =
ClassData{prior = -0.8209805520698302,
unseen = -2.5649493574615367,
likelihoods = HashMap.fromList [("", 0.0)], n = 11},
koData =
ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
("<ordinal> quarter",
Classifier{okData =
ClassData{prior = -0.4700036292457356, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -1.1786549963416462),
("ordinals (first..twentieth,thirtieth,...)quarter (grain)",
-1.466337068793427),
("quarter", -0.7731898882334817)],
n = 5},
koData =
ClassData{prior = -0.9808292530117262,
unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -0.8109302162163288),
("quarter", -0.8109302162163288)],
n = 3}}),
("one twenty two",
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}}),
("intersect",
Classifier{okData =
ClassData{prior = -0.4989911661189879,
unseen = -6.3080984415095305,
likelihoods =
HashMap.fromList
[("<datetime> - <datetime> (interval)on <date>",
-4.360365137892702),
("<time-of-day> - <time-of-day> (interval)on <date>",
-4.360365137892702),
("hourday", -3.908380014149645),
("dayhour", -2.7799147623318543),
("daymonth", -4.919980925828125),
("monthday", -5.207662998279906),
("monthyear", -4.00369019395397),
("Tuesdaythe <day-of-month> (ordinal)", -5.6131281063880705),
("Easter Sundayyear", -4.919980925828125),
("Christmasyear", -5.6131281063880705),
("from <datetime> - <datetime> (interval)July",
-5.6131281063880705),
("houryear", -5.6131281063880705),
("this|next <day-of-week>hh(:mm) - <time-of-day> am|pm",
-5.6131281063880705),
2017-03-14 02:49:47 +03:00
("<time-of-day> am|pmintersect by \",\", \"of\", \"from\", \"'s\"",
-4.919980925828125),
("<time-of-day> am|pmintersect", -4.360365137892702),
("intersect by \",\", \"of\", \"from\", \"'s\"year",
-5.6131281063880705),
("Marchyear", -5.6131281063880705),
("<named-month>|<named-day> <day-of-month> (ordinal)year",
-5.207662998279906),
("intersect<time-of-day> am|pm", -5.6131281063880705),
("Thursdayhh(:mm) - <time-of-day> am|pm", -5.6131281063880705),
("monthhour", -5.207662998279906),
("last <day-of-week> of <time>year", -5.6131281063880705),
("todayat <time-of-day>", -5.6131281063880705),
("Thursday<time> timezone", -3.908380014149645),
("this <time>hh(:mm) - <time-of-day> am|pm",
-5.6131281063880705),
("dayday", -3.5982250858458054),
("Thanksgiving Dayyear", -4.5145158177199605),
("<time> <part-of-day>at <time-of-day>", -5.6131281063880705),
("Tuesdayin <named-month>", -5.6131281063880705),
("mm/ddat <time-of-day>", -5.6131281063880705),
("tonightat <time-of-day>", -5.6131281063880705),
("<time-of-day> am|pmabsorption of , after named day",
-4.919980925828125),
("today<time-of-day> am|pm", -5.6131281063880705),
("Februarythe <day-of-month> (ordinal)", -5.207662998279906),
("at <time-of-day><time> <part-of-day>", -5.6131281063880705),
("mm/dd<time-of-day> am|pm", -5.6131281063880705),
("hourhour", -4.360365137892702),
("<time-of-day> am|pmon <date>", -3.5982250858458054),
("Wednesdaythis|last|next <cycle>", -5.6131281063880705),
("intersect<named-month> <day-of-month> (non ordinal)",
-4.109050709611796),
("dayyear", -3.0481787489265337),
("last weekend of <named-month>year", -5.6131281063880705),
("<time-of-day> o'clockin|during the <part-of-day>",
-5.6131281063880705),
("Thursdayat <time-of-day>", -5.207662998279906),
("<time-of-day> am|pmtomorrow", -4.919980925828125),
("minutehour", -4.696837374513915),
("Mother's Dayyear", -5.6131281063880705),
("at <time-of-day>in|during the <part-of-day>",
-5.207662998279906),
("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
-3.908380014149645),
("for <duration> from <time>December", -5.6131281063880705),
("tomorrow<time-of-day> sharp|exactly", -5.6131281063880705),
("Thursdayfrom <datetime> - <datetime> (interval)",
-4.696837374513915),
2017-03-14 02:49:47 +03:00
("on <date><named-month> <day-of-month> (non ordinal)",
-5.207662998279906),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
-4.696837374513915),
("Mondayin|during the <part-of-day>", -5.6131281063880705),
("tomorrowfrom <time-of-day> - <time-of-day> (interval)",
-5.207662998279906),
("intersectin|during the <part-of-day>", -5.6131281063880705),
("Thursday<datetime> - <datetime> (interval)",
-4.696837374513915),
("<day-of-month> (ordinal or number) of <named-month>in|during the <part-of-day>",
-5.6131281063880705),
("Thursday<time-of-day> - <time-of-day> (interval)",
-4.360365137892702),
("from <time-of-day> - <time-of-day> (interval)on <date>",
-4.919980925828125),
("intersect by \",\", \"of\", \"from\", \"'s\"<time-of-day> am|pm",
-4.696837374513915),
("at <time-of-day>intersect", -5.207662998279906),
("<time-of-day> - <time-of-day> (interval)tomorrow",
-5.6131281063880705),
2017-03-14 02:49:47 +03:00
("at <time-of-day>intersect by \",\", \"of\", \"from\", \"'s\"",
-5.6131281063880705),
("dayminute", -2.9389794569615417),
("from <datetime> - <datetime> (interval)on <date>",
-5.207662998279906),
("<datetime> - <datetime> (interval)tomorrow",
-5.6131281063880705),
2017-03-14 02:49:47 +03:00
("absorption of , after named dayintersect by \",\", \"of\", \"from\", \"'s\"",
-5.207662998279906),
("<ordinal> <cycle> of <time>year", -5.6131281063880705),
("minuteday", -2.147392203588344),
("absorption of , after named dayintersect",
-5.6131281063880705),
("Octoberyear", -4.360365137892702),
("the <day-of-month> (ordinal)in|during the <part-of-day>",
-5.6131281063880705),
("at <time-of-day>absorption of , after named day",
-5.6131281063880705),
("<day-of-month> (ordinal or number) <named-month>year",
-5.6131281063880705),
("year<time-of-day> am|pm", -5.6131281063880705),
("Septemberyear", -5.207662998279906),
("at <time-of-day>on <date>", -4.5145158177199605),
("between <time-of-day> and <time-of-day> (interval)on <date>",
-4.919980925828125),
("Halloweenyear", -5.6131281063880705),
("dayweek", -5.6131281063880705),
("Thursday<time-of-day> am|pm", -5.6131281063880705),
("weekyear", -5.207662998279906),
("hh:mmin|during the <part-of-day>", -4.919980925828125),
("Father's Dayyear", -5.6131281063880705),
("<cycle> after|before <time><time-of-day> am|pm",
-5.207662998279906),
("February<time> <part-of-day>", -5.6131281063880705),
("Martin Luther King's Dayyear", -5.207662998279906),
("tomorrowat <time-of-day>", -4.919980925828125),
("between <time> and <time>on <date>", -4.919980925828125),
("Thursdayfrom|since|after <time-of-day>", -4.919980925828125),
("at <time-of-day>tomorrow", -5.207662998279906),
("tomorrow<time-of-day> am|pm", -5.6131281063880705),
("in|during the <part-of-day>at <time-of-day>",
-5.6131281063880705),
("Labor Dayyear", -5.6131281063880705),
("Februaryintersect", -5.6131281063880705),
("last <cycle> of <time>year", -4.919980925828125),
("<named-month> <day-of-month> (non ordinal)year",
-5.6131281063880705),
("yearminute", -5.6131281063880705),
("Black Fridayyear", -5.207662998279906)],
n = 204},
koData =
ClassData{prior = -0.9343092373768334, unseen = -6.003887067106539,
likelihoods =
HashMap.fromList
[("in <named-month>year", -5.308267697401205),
("<time-of-day> - <time-of-day> (interval)on <date>",
-5.308267697401205),
("hourday", -5.308267697401205),
("<named-month> <day-of-month> (non ordinal)July",
-5.308267697401205),
("dayhour", -2.9103724246028344),
("daymonth", -3.228826155721369),
("monthday", -4.9028025892930405),
("monthyear", -4.61512051684126),
("intersecthh:mm", -5.308267697401205),
("Easter Sundayyear", -5.308267697401205),
("from <datetime> - <datetime> (interval)July",
-5.308267697401205),
("houryear", -5.308267697401205),
("from <time-of-day> - <time-of-day> (interval)July",
-5.308267697401205),
("until <time-of-day><time-of-day> am|pm", -5.308267697401205),
("<time-of-day> am|pmintersect by \",\", \"of\", \"from\", \"'s\"",
-4.61512051684126),
("<time-of-day> am|pmintersect", -4.055504728905837),
("intersect by \",\", \"of\", \"from\", \"'s\"year",
-4.39197696552705),
("from|since|after <time-of-day>on <date>", -4.39197696552705),
("July<day-of-month> (ordinal or number) <named-month>",
-5.308267697401205),
("absorption of , after named dayJuly", -4.9028025892930405),
("monthhour", -5.308267697401205),
("hourmonth", -4.61512051684126),
("todayat <time-of-day>", -5.308267697401205),
("from|since|after <time-of-day>July", -5.308267697401205),
("dayday", -4.9028025892930405),
("mm/ddat <time-of-day>", -4.9028025892930405),
("<time-of-day> am|pmon <date>", -4.055504728905837),
("dayyear", -3.698829784967104),
("Thursdaymm/dd", -5.308267697401205),
("Sundayyear", -4.9028025892930405),
("Thursdayat <time-of-day>", -4.055504728905837),
("<integer> to|till|before <hour-of-day>September",
-5.308267697401205),
("monthminute", -5.308267697401205),
("<time-of-day> am|pmtomorrow", -5.308267697401205),
("Thursdayhh:mm", -4.39197696552705),
("August<day-of-month> (ordinal or number) <named-month>",
-5.308267697401205),
("Fridayyear", -4.9028025892930405),
("minutemonth", -3.5165082281731497),
("Sundayfrom|since|after <time-of-day>", -5.308267697401205),
("Thursdayfrom <datetime> - <datetime> (interval)",
-4.9028025892930405),
("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
-4.9028025892930405),
("Aprilyear", -5.308267697401205),
("mm/dd<time-of-day> - <time-of-day> (interval)",
-4.9028025892930405),
("tomorrowfrom <time-of-day> - <time-of-day> (interval)",
-5.308267697401205),
("<duration> after|before|from <time>December",
-5.308267697401205),
("yesterday<time-of-day> am|pm", -5.308267697401205),
("intersect by \",\", \"of\", \"from\", \"'s\"hh:mm",
-4.39197696552705),
("Thursday<time-of-day> - <time-of-day> (interval)",
-4.9028025892930405),
("<named-month> <day-of-month> (non ordinal)August",
-5.308267697401205),
("until <time-of-day>on <date>", -4.61512051684126),
("at <time-of-day>intersect", -4.9028025892930405),
("at <time-of-day>intersect by \",\", \"of\", \"from\", \"'s\"",
-5.308267697401205),
("dayminute", -2.7825390530929495),
("intersectSeptember", -3.804190300624931),
2017-03-14 02:49:47 +03:00
("absorption of , after named dayintersect by \",\", \"of\", \"from\", \"'s\"",
-5.308267697401205),
("minuteday", -2.3904969653169257),
("absorption of , after named dayintersect",
-5.308267697401205),
("Februaryin|during the <part-of-day>", -5.308267697401205),
("week-endin <named-month>", -5.308267697401205),
("Octoberyear", -5.308267697401205),
("from|since|after <time-of-day>year", -5.308267697401205),
("yearhh:mm", -5.308267697401205),
("hh:mmon <date>", -3.804190300624931),
("from|since|after <time-of-day><time-of-day> am|pm",
-5.308267697401205),
("absorption of , after named daySeptember", -4.39197696552705),
("on <date>September", -4.9028025892930405),
("at <time-of-day>on <date>", -4.9028025892930405),
("dayweek", -5.308267697401205),
("Thursday<time-of-day> am|pm", -4.9028025892930405),
("absorption of , after named dayFebruary", -4.39197696552705),
("July<integer> to|till|before <hour-of-day>",
-5.308267697401205),
("tomorrowat <time-of-day>", -5.308267697401205),
("<integer> to|till|before <hour-of-day>July",
-5.308267697401205),
("Thursdayfrom|since|after <time-of-day>", -3.698829784967104),
("tomorrow<time-of-day> am|pm", -5.308267697401205),
("Tuesdayfrom|since|after <time-of-day>", -5.308267697401205),
("yearminute", -5.308267697401205)],
n = 132}}),
("one eleven",
Classifier{okData =
ClassData{prior = -1.3862943611198906,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -0.2876820724517809,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("after lunch/work/school",
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}}),
("early morning",
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}}),
("in <number> (implicit minutes)",
Classifier{okData =
ClassData{prior = -1.0986122886681098,
unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.3184537311185346),
("integer (0..19)", -1.2992829841302609)],
n = 9},
koData =
ClassData{prior = -0.40546510810816444,
unseen = -3.044522437723423,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.16251892949777494),
("integer (0..19)", -1.8971199848858813)],
n = 18}}),
("<ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.772588722239781,
likelihoods =
HashMap.fromList
[("daymonth", -2.0149030205422647),
("quarteryear", -2.0149030205422647),
("ordinals (first..twentieth,thirtieth,...)day (grain)October",
-2.0149030205422647),
("ordinals (first..twentieth,thirtieth,...)week (grain)intersect",
-2.0149030205422647),
("weekmonth", -1.6094379124341003),
("ordinal (digits)quarter (grain)year", -2.0149030205422647),
("ordinals (first..twentieth,thirtieth,...)week (grain)October",
-2.0149030205422647)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("year (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.0910424533583156,
likelihoods = HashMap.fromList [("", 0.0)], n = 20},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("from <datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -1.0116009116784799,
unseen = -3.6375861597263857,
likelihoods =
HashMap.fromList
[("minuteminute", -2.001480000210124),
("<day-of-month> (ordinal)<day-of-month> (ordinal)",
-2.917770732084279),
("hh:mmhh:mm", -2.001480000210124),
("dayday", -2.512305623976115),
("<named-month>|<named-day> <day-of-month> (ordinal)<day-of-month> (ordinal)",
-2.917770732084279),
("<time-of-day> am|pmtime-of-day (latent)", -2.917770732084279),
("hourhour", -2.512305623976115),
("<time-of-day> am|pm<time-of-day> am|pm", -2.917770732084279)],
n = 8},
koData =
ClassData{prior = -0.45198512374305727,
unseen = -3.912023005428146,
likelihoods =
HashMap.fromList
[("hourday", -3.1986731175506815),
("dayhour", -2.793208009442517),
("<day-of-month> (ordinal)time-of-day (latent)",
-3.1986731175506815),
("hh:mmtime-of-day (latent)", -2.2823823856765264),
("minuteminute", -2.793208009442517),
("time-of-day (latent)time-of-day (latent)",
-2.793208009442517),
("dayday", -3.1986731175506815),
("hourhour", -2.505525936990736),
("dayyear", -3.1986731175506815),
("<named-month>|<named-day> <day-of-month> (ordinal)past year (latent)",
-3.1986731175506815),
("minutehour", -2.2823823856765264),
("hh:mmintersect", -2.793208009442517),
("<day-of-month> (ordinal)<day-of-month> (ordinal or number) <named-month>",
-3.1986731175506815),
("time-of-day (latent)<time-of-day> am|pm",
-3.1986731175506815),
("time-of-day (latent)<day-of-month> (ordinal or number) <named-month>",
-3.1986731175506815),
("<named-month> <day-of-month> (non ordinal)time-of-day (latent)",
-3.1986731175506815)],
n = 14}}),
("Saturday",
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}}),
("the <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("week (grain)<named-month>|<named-day> <day-of-month> (ordinal)",
-1.7346010553881064),
("weekmonth", -1.7346010553881064),
("week (grain)October", -1.7346010553881064),
("week (grain)<named-month> <day-of-month> (non ordinal)",
-1.7346010553881064),
("weekday", -1.2237754316221157)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
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 = -0.6931471805599453,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("minuteminute", -1.6094379124341003),
("hh:mmhh:mm", -1.6094379124341003),
("<time-of-day> am|pmtime-of-day (latent)", -2.70805020110221),
("hourhour", -2.3025850929940455),
("hourminute", -2.3025850929940455),
("time-of-day (latent)<time-of-day> sharp|exactly",
-2.70805020110221),
("time-of-day (latent)hh:mm", -2.70805020110221),
("<time-of-day> am|pm<time-of-day> am|pm", -2.70805020110221)],
n = 9},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -1.6094379124341003),
("time-of-day (latent)time-of-day (latent)",
-2.0149030205422647),
("hourhour", -1.791759469228055),
("minutehour", -1.6094379124341003),
("time-of-day (latent)<time-of-day> am|pm", -2.70805020110221)],
n = 9}}),
("integer 21..99",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("integer (numeric)integer (numeric)", -0.6931471805599453),
("integer (20..90)integer (0..19)", -0.6931471805599453)],
n = 4}}),
("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}}),
("mm/dd/yyyy",
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}}),
("Monday",
Classifier{okData =
ClassData{prior = -8.004270767353637e-2,
unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = -2.5649493574615367,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("yesterday",
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}}),
("<ordinal> quarter <year>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("quarteryear", -0.6931471805599453),
("ordinal (digits)quarter (grain)year", -0.6931471805599453)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
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}}),
("<hour-of-day> <integer>",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("at <time-of-day>integer (20..90)", -1.3862943611198906),
("hour", -0.9808292530117262),
("at <time-of-day>integer (numeric)", -1.3862943611198906)],
n = 2},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -1.9459101490553135,
likelihoods =
HashMap.fromList
[("about|exactly <time-of-day>integer (numeric)",
-1.0986122886681098),
("hour", -1.0986122886681098)],
n = 1}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = -0.4700036292457356, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("daymonth", -0.9808292530117262),
("ordinals (first..twentieth,thirtieth,...)Tuesdayintersect",
-2.0794415416798357),
("ordinals (first..twentieth,thirtieth,...)Wednesdayintersect",
-1.6739764335716716),
("ordinals (first..twentieth,thirtieth,...)TuesdayOctober",
-1.6739764335716716)],
n = 5},
koData =
ClassData{prior = -0.9808292530117262,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("daymonth", -1.0986122886681098),
("ordinals (first..twentieth,thirtieth,...)TuesdaySeptember",
-1.791759469228055),
("ordinals (first..twentieth,thirtieth,...)WednesdayOctober",
-1.3862943611198906)],
n = 3}}),
("Valentine'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}}),
("April",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("end of month",
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}}),
("week (grain)",
Classifier{okData =
ClassData{prior = -8.004270767353637e-2,
unseen = -3.6375861597263857,
likelihoods = HashMap.fromList [("", 0.0)], n = 36},
koData =
ClassData{prior = -2.5649493574615367,
unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("<part-of-day> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("part of daysintersect by \",\", \"of\", \"from\", \"'s\"",
-1.6094379124341003),
("hourday", -0.916290731874155),
("part of daysthe <day-of-month> (ordinal)",
-1.6094379124341003),
("part of daysthe <day-of-month> (number)",
-1.6094379124341003)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("past year (latent)",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 2}}),
("six thirty six a.m.",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.252762968495368),
("one twenty two", -0.8472978603872037),
("one eleven", -1.252762968495368)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
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}}),
("<day-of-month> (ordinal or number) of <named-month>",
Classifier{okData =
ClassData{prior = -0.13353139262452263,
unseen = -3.0910424533583156,
likelihoods =
HashMap.fromList
[("ordinal (digits)July", -2.3513752571634776),
("ordinals (first..twentieth,thirtieth,...)March",
-2.3513752571634776),
("ordinal (digits)February", -2.3513752571634776),
("integer (numeric)February", -1.9459101490553135),
("month", -0.9650808960435872),
("ordinal (digits)March", -2.3513752571634776),
("integer (numeric)July", -2.3513752571634776)],
n = 7},
koData =
ClassData{prior = -2.0794415416798357,
unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("ordinal (digits)February", -1.5040773967762742),
("month", -1.5040773967762742)],
n = 1}}),
("this <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("hour", -0.6931471805599453),
("part of days", -0.6931471805599453)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("powers of tens",
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}}),
("Friday",
Classifier{okData =
ClassData{prior = -0.3677247801253174,
unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [("", 0.0)], n = 9},
koData =
ClassData{prior = -1.1786549963416462, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("in|during the <part-of-day>",
Classifier{okData =
ClassData{prior = -8.701137698962981e-2,
unseen = -3.258096538021482,
likelihoods =
HashMap.fromList
[("early morning", -2.5257286443082556),
("hour", -0.7339691750802004),
("part of days", -0.8209805520698302)],
n = 11},
koData =
ClassData{prior = -2.4849066497880004, unseen = -1.791759469228055,
likelihoods =
HashMap.fromList
[("hour", -0.916290731874155),
("part of days", -0.916290731874155)],
n = 1}}),
("tomorrow",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("hh(:mm) - <time-of-day> am|pm",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("this|last|next <cycle>",
Classifier{okData =
ClassData{prior = -0.16251892949777494,
unseen = -4.3694478524670215,
likelihoods =
HashMap.fromList
[("week", -1.5234954826333758),
("month (grain)", -2.9704144655697013),
("year (grain)", -1.8718021769015913),
("week (grain)", -1.5234954826333758),
("quarter", -2.7472709142554916), ("year", -1.8718021769015913),
("month", -2.9704144655697013),
("quarter (grain)", -2.7472709142554916)],
n = 34},
koData =
ClassData{prior = -1.8971199848858813,
unseen = -3.1354942159291497,
likelihoods =
HashMap.fromList
[("week", -1.4816045409242156),
("week (grain)", -1.4816045409242156),
("day", -1.9924301646902063),
("day (grain)", -1.9924301646902063)],
n = 6}}),
("Mother's Day",
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}}),
("New Year's Eve",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the <ordinal> <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("quarteryear", -0.6931471805599453),
("ordinal (digits)quarter (grain)year", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("by <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("noon|midnight|EOD|end of day", -2.1972245773362196),
("end of month", -2.1972245773362196),
("time-of-day (latent)", -2.1972245773362196),
("<time-of-day> am|pm", -2.1972245773362196),
("hh:mm", -2.1972245773362196), ("hour", -1.791759469228055),
("month", -2.1972245773362196), ("minute", -1.791759469228055)],
n = 5},
koData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("half an hour",
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}}),
("the <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = -0.2006706954621511,
unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("ordinals (first..twentieth,thirtieth,...)",
-1.7047480922384253),
("ordinal (digits)", -0.2006706954621511)],
n = 9},
koData =
ClassData{prior = -1.7047480922384253,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList [("ordinal (digits)", -0.2876820724517809)],
n = 2}}),
("last weekend of <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("October", -0.9555114450274363), ("July", -1.8718021769015913),
("month", -0.7731898882334817)],
n = 5},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("the <day-of-month> (number)",
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}}),
("fractional number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods = HashMap.fromList [("", 0.0)], n = 17}}),
("Sunday",
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}}),
("February",
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}}),
("minute (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("the <ordinal> quarter",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -0.6931471805599453),
("quarter", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("ordinal (digits)quarter (grain)", -0.6931471805599453),
("quarter", -0.6931471805599453)],
n = 1}}),
("time-of-day (latent)",
Classifier{okData =
ClassData{prior = -0.5315058290035293,
unseen = -4.2626798770413155,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.12136085700426748),
("integer (0..19)", -2.3025850929940455)],
n = 67},
koData =
ClassData{prior = -0.8860508466844369,
unseen = -3.9318256327243257,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.10536051565782628),
("integer (0..19)", -2.8134107167600364),
("integer 21..99", -3.2188758248682006)],
n = 47}}),
("year",
Classifier{okData =
ClassData{prior = -0.2809023854664022,
unseen = -3.7376696182833684,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.10265415406008334),
("intersect 2 numbers", -3.0204248861443626)],
n = 37},
koData =
ClassData{prior = -1.4069136483226263, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("integer (numeric)", -0.4700036292457356),
("intersect 2 numbers", -2.0794415416798357),
("powers of tens", -2.0794415416798357),
("compose by multiplication", -2.0794415416798357)],
n = 12}}),
("last <day-of-week> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("daymonth", -0.916290731874155),
("SundayMarch", -1.6094379124341003),
("MondayMarch", -1.6094379124341003),
("Sundayintersect", -1.6094379124341003)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = -0.14595391262307983,
unseen = -5.099866427824199,
likelihoods =
HashMap.fromList
[("week", -2.4546928711915035),
("integer (0..19)year (grain)", -3.3019907315787074),
("integer (numeric)day (grain)", -2.6958549280083917),
("integer (0..19)second (grain) ", -3.7074558396868715),
("integer (0..19)hour (grain)", -3.0143086591269266),
("second", -3.3019907315787074),
("integer (numeric)second (grain) ", -3.9951379121386528),
("integer (numeric)year (grain)", -3.7074558396868715),
("day", -2.3856999997045523), ("year", -2.8965256234705428),
("integer (numeric)week (grain)", -3.0143086591269266),
("integer (0..19)month (grain)", -3.484312288372662),
("hour", -2.608843551018762), ("month", -3.147840051751449),
("integer (numeric)minute (grain)", -3.147840051751449),
("integer (0..19)minute (grain)", -3.0143086591269266),
("integer (numeric)month (grain)", -3.9951379121386528),
("minute", -2.4546928711915035),
("integer (numeric)hour (grain)", -3.484312288372662),
("integer (0..19)day (grain)", -3.484312288372662),
("integer (0..19)week (grain)", -3.147840051751449)],
n = 70},
koData =
ClassData{prior = -1.9965538818740682, unseen = -3.828641396489095,
likelihoods =
HashMap.fromList
[("quarter", -3.1135153092103742), ("hour", -1.4087672169719492),
("integer (numeric)hour (grain)", -1.4087672169719492),
("integer (0..19)quarter (grain)", -3.1135153092103742)],
n = 11}}),
("hhmm (latent)",
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-of-day> am|pm",
Classifier{okData =
ClassData{prior = -0.2929871246814741,
unseen = -5.3230099791384085,
likelihoods =
HashMap.fromList
[("integer after|past <hour-of-day>", -3.9318256327243257),
("at <time-of-day>", -2.2270775404859005),
("from|since|after <time-of-day>", -3.708682081410116),
("<time-of-day> o'clock", -4.219507705176107),
("half after|past <hour-of-day>", -4.219507705176107),
("time-of-day (latent)", -1.7346010553881064),
("hhmm (latent)", -4.624972813284271),
("hh:mm", -2.2735975561207935),
("quarter after|past <hour-of-day>", -4.624972813284271),
("about|exactly <time-of-day>", -4.624972813284271),
("until <time-of-day>", -3.9318256327243257),
("hour", -1.2237754316221157),
("<time-of-day> sharp|exactly", -4.624972813284271),
("minute", -1.7346010553881064)],
n = 94},
koData =
ClassData{prior = -1.3705460041517514, unseen = -4.394449154672439,
likelihoods =
HashMap.fromList
[("<integer> to|till|before <hour-of-day>", -3.283414346005772),
("from|since|after <time-of-day>", -3.283414346005772),
("<hour-of-day> <integer>", -3.6888794541139363),
("time-of-day (latent)", -1.0498221244986778),
("hour", -1.0147308046874075), ("minute", -2.772588722239781)],
n = 32}}),
("from <day-of-month> (ordinal or number) to <day-of-month> (ordinal or number) <named-month> (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("ordinal (digits)ordinal (digits)July", -1.252762968495368),
("integer (numeric)integer (numeric)July", -1.252762968495368),
("month", -0.8472978603872037)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("Thanksgiving Day",
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}}),
("part of <named-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList
[("March", -0.6931471805599453), ("month", -0.6931471805599453)],
n = 3},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("a <unit-of-duration>",
Classifier{okData =
ClassData{prior = -0.5753641449035618,
unseen = -3.4965075614664802,
likelihoods =
HashMap.fromList
[("week", -2.0794415416798357),
("year (grain)", -2.772588722239781),
("second", -2.772588722239781),
("week (grain)", -2.0794415416798357),
("day", -2.0794415416798357),
("minute (grain)", -2.772588722239781),
("year", -2.772588722239781),
("second (grain) ", -2.772588722239781),
("minute", -2.772588722239781),
("day (grain)", -2.0794415416798357)],
n = 9},
koData =
ClassData{prior = -0.8266785731844679, unseen = -3.367295829986474,
likelihoods =
HashMap.fromList
[("hour (grain)", -1.7227665977411035),
("quarter", -1.9459101490553135), ("hour", -1.7227665977411035),
("quarter (grain)", -1.9459101490553135)],
n = 7}}),
("hh:mm",
Classifier{okData =
ClassData{prior = -6.782259633876106e-2,
unseen = -4.07753744390572,
likelihoods = HashMap.fromList [("", 0.0)], n = 57},
koData =
ClassData{prior = -2.7245795030534206, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("quarter of an hour",
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}}),
("second (grain) ",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinals (first..twentieth,thirtieth,...)",
Classifier{okData =
ClassData{prior = -6.899287148695143e-2,
unseen = -2.772588722239781,
likelihoods = HashMap.fromList [("", 0.0)], n = 14},
koData =
ClassData{prior = -2.70805020110221, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("quarter after|past <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}}),
("the <cycle> after|before <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("day (grain)tomorrow", -1.252762968495368),
("dayday", -0.8472978603872037),
("day (grain)yesterday", -1.252762968495368)],
n = 2},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("about|exactly <time-of-day>",
Classifier{okData =
ClassData{prior = -0.2231435513142097, unseen = -3.367295829986474,
likelihoods =
HashMap.fromList
[("week", -2.639057329615259),
("hh(:mm) - <time-of-day> am|pm", -2.639057329615259),
("this|last|next <cycle>", -2.639057329615259),
("day", -2.2335922215070942),
("time-of-day (latent)", -2.639057329615259),
("hhmm (latent)", -2.2335922215070942),
("<time-of-day> am|pm", -2.639057329615259),
("hour", -1.9459101490553135),
("next <time>", -2.639057329615259),
("this|next <day-of-week>", -2.639057329615259),
("minute", -2.2335922215070942)],
n = 8},
koData =
ClassData{prior = -1.6094379124341003, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("mm/dd", -2.0794415416798357), ("day", -2.0794415416798357),
("time-of-day (latent)", -2.0794415416798357),
("hour", -2.0794415416798357)],
n = 2}}),
("World Vegan Day",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("intersect by \",\", \"of\", \"from\", \"'s\"",
Classifier{okData =
ClassData{prior = -0.48835276791393206,
unseen = -5.153291594497779,
likelihoods =
HashMap.fromList
[("Wednesday<named-month> <day-of-month> (non ordinal)",
-4.454347296253507),
("dayhour", -3.2015843277581397),
("daymonth", -3.2015843277581397),
("<named-month> <day-of-month> (non ordinal)Friday",
-4.454347296253507),
2017-03-14 02:49:47 +03:00
("Friday<named-month> <day-of-month> (non ordinal)",
-3.7612001156935624),
("Wednesdayintersect", -4.454347296253507),
("Labor Daythis|last|next <cycle>", -4.454347296253507),
("Black Fridaythis|last|next <cycle>", -4.454347296253507),
2017-03-14 02:49:47 +03:00
("intersect by \",\", \"of\", \"from\", \"'s\"year",
-4.454347296253507),
("<part-of-day> of <time>February", -4.454347296253507),
("Saturday<time-of-day> am|pm", -4.454347296253507),
("Martin Luther King's Daythis|last|next <cycle>",
-4.454347296253507),
("on <date><time-of-day> am|pm", -4.454347296253507),
("hourmonth", -4.454347296253507),
2017-03-14 02:49:47 +03:00
("intersect by \",\", \"of\", \"from\", \"'s\"intersect",
-4.454347296253507),
("dayday", -2.5825451193519164),
("the <day-of-month> (ordinal)February", -4.048882188145344),
("WednesdayOctober", -4.454347296253507),
("Wednesdaythis|last|next <cycle>", -4.048882188145344),
("intersect<named-month> <day-of-month> (non ordinal)",
-3.5380565643793527),
("dayyear", -2.9502698994772336),
2017-03-14 02:49:47 +03:00
("Saturday<named-month> <day-of-month> (non ordinal)",
-4.454347296253507),
2017-03-14 02:49:47 +03:00
("<named-month> <day-of-month> (non ordinal)intersect",
-4.454347296253507),
("Thursdayhh:mm", -4.048882188145344),
("Thanksgiving Daythis|last|next <cycle>", -4.454347296253507),
2017-03-14 02:49:47 +03:00
("on <date><named-month> <day-of-month> (non ordinal)",
-4.048882188145344),
("TuesdayOctober", -4.454347296253507),
("the <day-of-month> (ordinal)March", -4.454347296253507),
("Mondaythis|last|next <cycle>", -4.454347296253507),
2017-03-14 02:49:47 +03:00
("Fridayintersect by \",\", \"of\", \"from\", \"'s\"",
-4.048882188145344),
("Fridayintersect", -4.454347296253507),
("Thursday<datetime> - <datetime> (interval)",
-3.7612001156935624),
("Thursday<time-of-day> - <time-of-day> (interval)",
-3.5380565643793527),
("Tuesdaythis|last|next <cycle>", -4.454347296253507),
("Sunday<named-month> <day-of-month> (non ordinal)",
-4.454347296253507),
("dayminute", -2.662587827025453),
("intersectyear", -4.454347296253507),
("minuteday", -3.5380565643793527),
("this|last|next <cycle>Sunday", -4.454347296253507),
("Sundaythis|last|next <cycle>", -4.454347296253507),
("intersectintersect", -4.454347296253507),
("weekday", -4.454347296253507),
("dayweek", -3.355735007585398),
("Thursday<time-of-day> am|pm", -4.454347296253507),
("Monday<named-month> <day-of-month> (non ordinal)",
-4.048882188145344),
("<named-month> <day-of-month> (non ordinal)year",
-4.048882188145344)],
n = 54},
2017-03-14 02:49:47 +03:00
koData =
ClassData{prior = -0.9509762898620451, unseen = -4.890349128221754,
2017-03-14 02:49:47 +03:00
likelihoods =
HashMap.fromList
[("week-endJuly", -4.189654742026425),
("week-endOctober", -3.4965075614664802),
("daymonth", -1.9924301646902063),
("TuesdaySeptember", -4.189654742026425),
("Wednesdayintersect", -4.189654742026425),
("hourmonth", -3.0910424533583156),
2017-03-14 02:49:47 +03:00
("intersect by \",\", \"of\", \"from\", \"'s\"intersect",
-4.189654742026425),
("Fridaythis|last|next <cycle>", -4.189654742026425),
("SundayFebruary", -4.189654742026425),
("WednesdayOctober", -4.189654742026425),
("week-endintersect", -4.189654742026425),
("dayyear", -4.189654742026425),
("FridayJuly", -3.784189633918261),
2017-03-14 02:49:47 +03:00
("<named-month> <day-of-month> (non ordinal)intersect",
-4.189654742026425),
("FridaySeptember", -4.189654742026425),
("WednesdayFebruary", -4.189654742026425),
("minutemonth", -3.2733640101522705),
("SundayMarch", -4.189654742026425),
2017-03-14 02:49:47 +03:00
("Fridayintersect by \",\", \"of\", \"from\", \"'s\"",
-4.189654742026425),
("MondayFebruary", -3.784189633918261),
("Fridayintersect", -4.189654742026425),
("Thursday<time-of-day> - <time-of-day> (interval)",
-3.784189633918261),
("dayminute", -2.803360380906535),
("SaturdaySeptember", -4.189654742026425),
("intersectSeptember", -3.2733640101522705),
("MondayMarch", -4.189654742026425),
("on <date>September", -3.784189633918261),
("intersectintersect", -4.189654742026425),
("Tuesdayintersect", -4.189654742026425),
("Sundayintersect", -4.189654742026425)],
n = 34}}),
("last <time>",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("Father's Day", -2.4849066497880004),
("Martin Luther King's Day", -2.4849066497880004),
("Mother's Day", -2.4849066497880004),
("day", -1.2321436812926323), ("Sunday", -2.4849066497880004),
("Thanksgiving Day", -2.4849066497880004),
("hour", -2.4849066497880004), ("Tuesday", -2.4849066497880004),
("week-end", -2.4849066497880004)],
n = 7},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("Monday", -2.4849066497880004), ("day", -2.0794415416798357),
("Sunday", -2.4849066497880004), ("hour", -1.3862943611198906),
("week-end", -1.3862943611198906)],
n = 7}}),
("March",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods = HashMap.fromList [("", 0.0)], n = 17},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<named-month>|<named-day> <day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = -0.2231435513142097, unseen = -3.258096538021482,
likelihoods =
HashMap.fromList
[("Octoberordinal (digits)", -2.120263536200091),
("Thursdayordinal (digits)", -2.5257286443082556),
("day", -2.120263536200091),
("Augustordinal (digits)", -2.5257286443082556),
("Marchordinals (first..twentieth,thirtieth,...)",
-2.120263536200091),
("Tuesdayordinal (digits)", -2.5257286443082556),
("month", -1.2729656758128873),
("Marchordinal (digits)", -2.5257286443082556)],
n = 8},
koData =
ClassData{prior = -1.6094379124341003, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("from|since|after <time-of-day>ordinal (digits)",
-1.8718021769015913),
("Augustordinal (digits)", -1.8718021769015913),
("month", -1.466337068793427)],
n = 2}}),
("Labor Day weekend",
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}}),
("<day-of-month> (ordinal)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [("ordinal (digits)", 0.0)], n = 5},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("Easter Sunday",
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}}),
("Christmas",
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}}),
("until <time-of-day>",
Classifier{okData =
ClassData{prior = -0.9808292530117262, unseen = -3.044522437723423,
likelihoods =
HashMap.fromList
[("time-of-day (latent)", -2.3025850929940455),
("<time-of-day> am|pm", -1.6094379124341003),
("hh:mm", -1.8971199848858813), ("hour", -1.8971199848858813),
("minute", -1.3862943611198906)],
n = 6},
koData =
ClassData{prior = -0.4700036292457356, unseen = -3.367295829986474,
likelihoods =
HashMap.fromList
[("intersect", -1.7227665977411035),
("yesterday", -2.2335922215070942),
("day", -2.2335922215070942), ("hh:mm", -1.7227665977411035),
("hour", -2.639057329615259), ("minute", -1.252762968495368)],
n = 10}}),
("mm.dd.yyyy",
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> after|before|from <time>",
Classifier{okData =
ClassData{prior = -0.3184537311185346,
unseen = -3.5263605246161616,
likelihoods =
HashMap.fromList
[("a <unit-of-duration>now", -2.803360380906535),
("a <unit-of-duration>Christmas", -2.803360380906535),
("dayday", -2.803360380906535),
("<integer> <unit-of-duration>today", -2.803360380906535),
("daysecond", -2.803360380906535),
("a <unit-of-duration>right now", -2.803360380906535),
("minutenograin", -2.803360380906535),
("<integer> <unit-of-duration>Christmas", -2.803360380906535),
("<integer> <unit-of-duration>Easter Sunday",
-2.803360380906535),
("secondnograin", -2.803360380906535),
("yearday", -2.1102132003465894),
("daynograin", -2.803360380906535),
("<integer> <unit-of-duration>now", -2.3978952727983707)],
n = 8},
koData =
ClassData{prior = -1.2992829841302609,
unseen = -3.1780538303479458,
likelihoods =
HashMap.fromList
[("dayhour", -2.4423470353692043),
("<integer> <unit-of-duration><day-of-month> (ordinal)",
-2.4423470353692043),
("dayday", -2.03688192726104),
("<integer> <unit-of-duration>time-of-day (latent)",
-2.4423470353692043),
("<integer> <unit-of-duration><day-of-month> (ordinal or number) <named-month>",
-2.4423470353692043)],
n = 3}}),
("decimal number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
("next <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("Martin Luther King's Day", -2.70805020110221),
("Halloween", -2.70805020110221),
("Wednesday", -2.70805020110221), ("Monday", -2.70805020110221),
("Mother's Day", -2.70805020110221),
("day", -1.0986122886681098),
("Thanksgiving Day", -2.70805020110221),
("March", -2.70805020110221), ("month", -2.70805020110221),
("Tuesday", -2.0149030205422647)],
n = 10},
koData =
ClassData{prior = -infinity, unseen = -2.3978952727983707,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> sharp|exactly",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("at <time-of-day>", -2.1400661634962708),
("time-of-day (latent)", -2.1400661634962708),
("hhmm (latent)", -2.1400661634962708),
("<time-of-day> am|pm", -2.1400661634962708),
("hh:mm", -2.1400661634962708), ("hour", -1.7346010553881064),
("minute", -1.4469189829363254)],
n = 5},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("negative numbers",
Classifier{okData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -3.332204510175204,
likelihoods =
HashMap.fromList
[("integer (numeric)", -7.696104113612832e-2),
("integer (0..19)", -2.6026896854443837)],
n = 25}}),
("about|exactly <duration>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("half an hour", -0.6931471805599453),
("minute", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("<time> before last|after next",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("Wednesday", -1.8718021769015913),
("Friday", -1.466337068793427), ("day", -1.1786549963416462),
("March", -1.8718021769015913), ("month", -1.8718021769015913)],
n = 4},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("by the end of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("this|last|next <cycle>", -0.6931471805599453),
("month", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("hhmm (military) am|pm",
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}}),
("<datetime> - <datetime> (interval)",
Classifier{okData =
ClassData{prior = -0.3794896217049037, unseen = -4.304065093204169,
likelihoods =
HashMap.fromList
[("intersecthh:mm", -3.1918471524802814),
("intersect<time-of-day> am|pm", -3.1918471524802814),
("minuteminute", -1.457246097092175),
("hh:mmhh:mm", -2.093234863812172),
("dayday", -3.1918471524802814),
("hourhour", -2.093234863812172),
("<named-month> <day-of-month> (non ordinal)<named-month> <day-of-month> (non ordinal)",
-3.1918471524802814),
("intersect by \",\", \"of\", \"from\", \"'s\"hh:mm",
-3.1918471524802814),
("intersect by \",\", \"of\", \"from\", \"'s\"<time-of-day> am|pm",
-3.597312260588446),
("from|since|after <time-of-day><time-of-day> am|pm",
-3.597312260588446),
("<time-of-day> am|pm<time-of-day> am|pm", -2.681021528714291),
("from|since|after <time-of-day>hh:mm", -2.681021528714291)],
n = 26},
koData =
ClassData{prior = -1.1526795099383855, unseen = -3.828641396489095,
likelihoods =
HashMap.fromList
[("<named-month> <day-of-month> (non ordinal)July",
-3.1135153092103742),
("daymonth", -2.70805020110221),
("from|since|after <time-of-day>intersect", -2.70805020110221),
("<time-of-day> am|pmintersect", -3.1135153092103742),
("hh:mm<time-of-day> am|pm", -2.70805020110221),
("minuteminute", -1.8607523407150064),
("hourhour", -2.70805020110221),
("minutehour", -2.70805020110221),
("hh:mmintersect", -2.1972245773362196),
("<named-month> <day-of-month> (non ordinal)August",
-3.1135153092103742),
("about|exactly <time-of-day><time-of-day> am|pm",
-3.1135153092103742)],
n = 12}}),
("Tuesday",
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}}),
("New Year's Day",
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}}),
("fortnight",
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}}),
("<integer> and an half hour",
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}}),
("in <named-month>",
Classifier{okData =
ClassData{prior = -0.6931471805599453,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("October", -1.252762968495368), ("March", -1.252762968495368),
("month", -0.8472978603872037)],
n = 2},
koData =
ClassData{prior = -0.6931471805599453,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("October", -0.8472978603872037),
("month", -0.8472978603872037)],
n = 2}}),
("<time-of-day> - <time-of-day> (interval)",
Classifier{okData =
ClassData{prior = -0.7375989431307791, unseen = -4.110873864173311,
likelihoods =
HashMap.fromList
[("minuteminute", -1.529395204760564),
("hh:mmhh:mm", -1.8971199848858813),
("<time-of-day> am|pmtime-of-day (latent)",
-2.4849066497880004),
("hourhour", -1.6964492894237302),
("from|since|after <time-of-day>time-of-day (latent)",
-3.4011973816621555),
("from|since|after <time-of-day><time-of-day> am|pm",
-3.4011973816621555),
("<time-of-day> am|pm<time-of-day> am|pm", -2.4849066497880004),
("from|since|after <time-of-day>hh:mm", -2.4849066497880004)],
n = 22},
koData =
ClassData{prior = -0.6505875661411494, unseen = -4.174387269895637,
likelihoods =
HashMap.fromList
[("about|exactly <time-of-day>time-of-day (latent)",
-3.4657359027997265),
("hh:mmtime-of-day (latent)", -1.7609878105613013),
("hh:mm<time-of-day> am|pm", -3.0602707946915624),
("<time-of-day> am|pmtime-of-day (latent)",
-3.4657359027997265),
("at <time-of-day><time-of-day> am|pm", -3.4657359027997265),
("hourhour", -2.2129729343043585),
("minutehour", -1.2144441041932315),
("about|exactly <time-of-day><time-of-day> am|pm",
-3.4657359027997265),
("from|since|after <time-of-day>time-of-day (latent)",
-2.5494451709255714),
("at <time-of-day>time-of-day (latent)", -3.0602707946915624),
("<integer> to|till|before <hour-of-day>time-of-day (latent)",
-3.0602707946915624)],
n = 24}}),
("military spelled out numbers am|pm",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods =
HashMap.fromList [("integer (0..19)integer (20..90)", 0.0)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("winter",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("nth <time> after <time>",
Classifier{okData =
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
likelihoods =
HashMap.fromList
[("dayday", -0.916290731874155),
("ordinals (first..twentieth,thirtieth,...)Tuesdayintersect",
-0.916290731874155)],
n = 1},
koData =
ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
likelihoods =
HashMap.fromList
[("dayday", -0.916290731874155),
("ordinals (first..twentieth,thirtieth,...)TuesdayChristmas",
-0.916290731874155)],
n = 1}}),
("<named-month> <day-of-month> (non ordinal)",
Classifier{okData =
ClassData{prior = -0.42121346507630353,
unseen = -3.951243718581427,
likelihoods =
HashMap.fromList
[("Augustinteger (numeric)", -2.5455312716044354),
("Marchinteger (numeric)", -2.833213344056216),
("Aprilinteger (numeric)", -3.2386784521643803),
("month", -0.8407831793660099),
("Februaryinteger (numeric)", -1.9859154836690123),
("Septemberinteger (numeric)", -2.833213344056216),
("Octoberinteger (numeric)", -2.833213344056216),
("Julyinteger (numeric)", -2.1400661634962708)],
n = 21},
koData =
ClassData{prior = -1.067840630001356, unseen = -3.4657359027997265,
likelihoods =
HashMap.fromList
[("Augustinteger (numeric)", -2.3353749158170367),
("Marchinteger (numeric)", -2.740840023925201),
("Aprilinteger (numeric)", -2.740840023925201),
("month", -0.9490805546971459),
("from|since|after <time-of-day>integer (numeric)",
-2.3353749158170367),
("Julyinteger (numeric)", -1.6422277352570913)],
n = 11}}),
("this|next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.995732273553991,
likelihoods =
HashMap.fromList
[("Thursday", -2.2512917986064953),
("Wednesday", -2.2512917986064953),
("Monday", -1.845826690498331), ("day", -0.8649974374866046),
("Tuesday", -1.55814461804655)],
n = 7},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.5553480614894135,
likelihoods = HashMap.fromList [("", 0.0)], n = 33},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("quarter (grain)",
Classifier{okData =
ClassData{prior = -0.2876820724517809, unseen = -2.639057329615259,
likelihoods = HashMap.fromList [("", 0.0)], n = 12},
koData =
ClassData{prior = -1.3862943611198906, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("last <cycle> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("day (grain)October", -1.791759469228055),
("daymonth", -1.2809338454620642),
("day (grain)intersect", -1.791759469228055),
("weekmonth", -1.791759469228055),
("week (grain)intersect", -2.1972245773362196),
("week (grain)September", -2.1972245773362196)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("<day-of-month>(ordinal) <named-month> year",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("ordinal (digits)April", -0.6931471805599453),
("month", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Black Friday",
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}}),
("Labor Day",
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}}),
("week-end",
Classifier{okData =
ClassData{prior = -1.3862943611198906,
unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [("", 0.0)], n = 2},
koData =
ClassData{prior = -0.2876820724517809,
unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
("day (grain)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.258096538021482,
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("right now",
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}}),
("for <duration> from <time>",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -2.3025850929940455,
likelihoods =
HashMap.fromList
[("<integer> <unit-of-duration><day-of-month> (ordinal)",
-1.5040773967762742),
("dayday", -1.0986122886681098),
("<integer> <unit-of-duration><day-of-month> (ordinal or number) <named-month>",
-1.5040773967762742)],
n = 2},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -2.0794415416798357,
likelihoods =
HashMap.fromList
[("dayhour", -1.252762968495368),
("<integer> <unit-of-duration>time-of-day (latent)",
-1.252762968495368)],
n = 1}}),
("compose by multiplication",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods =
HashMap.fromList [("integer (0..19)powers of tens", 0.0)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("between <time> and <time>",
Classifier{okData =
ClassData{prior = -1.0986122886681098,
unseen = -2.4849066497880004,
likelihoods =
HashMap.fromList
[("minuteminute", -1.0116009116784799),
("hh:mmhh:mm", -1.0116009116784799)],
n = 3},
koData =
ClassData{prior = -0.40546510810816444,
unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("hh:mmtime-of-day (latent)", -1.4469189829363254),
("minuteminute", -1.4469189829363254),
("minutehour", -1.4469189829363254),
("hh:mmintersect", -1.4469189829363254)],
n = 6}}),
("<month> dd-dd (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.4657359027997265,
likelihoods =
HashMap.fromList
[("Julyinteger (numeric)integer (numeric)", -1.6422277352570913),
("from|since|after <time-of-day>ordinal (digits)ordinal (digits)",
-2.740840023925201),
("from|since|after <time-of-day>integer (numeric)integer (numeric)",
-2.740840023925201),
("from|since|after <time-of-day>ordinal (digits)integer (numeric)",
-2.740840023925201),
("Augustordinal (digits)integer (numeric)",
-2.3353749158170367),
("month", -0.8690378470236094),
("Augustordinal (digits)ordinal (digits)",
-2.3353749158170367)],
n = 12},
koData =
ClassData{prior = -infinity, unseen = -2.0794415416798357,
likelihoods = HashMap.fromList [], n = 0}}),
("part of days",
Classifier{okData =
ClassData{prior = -4.0821994520255166e-2,
unseen = -3.258096538021482,
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
koData =
ClassData{prior = -3.2188758248682006,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("summer",
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-dd <month> (interval)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("integer (numeric)integer (numeric)September",
-1.791759469228055),
("ordinal (digits)ordinal (digits)July", -2.1972245773362196),
("ordinal (digits)ordinal (digits)October",
-2.1972245773362196),
("integer (numeric)integer (numeric)July", -2.1972245773362196),
("month", -0.9444616088408514),
("ordinal (digits)ordinal (digits)August",
-2.1972245773362196)],
n = 6},
koData =
ClassData{prior = -infinity, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [], n = 0}}),
("this <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.258096538021482,
likelihoods =
HashMap.fromList
[("Thursday", -2.5257286443082556),
("Martin Luther King's Day", -2.5257286443082556),
("Monday", -2.5257286443082556), ("day", -1.1394342831883648),
("Thanksgiving Day", -2.5257286443082556),
("hour", -2.5257286443082556), ("winter", -2.5257286443082556),
("week-end", -2.5257286443082556),
("summer", -2.120263536200091)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -2.3025850929940455,
likelihoods = HashMap.fromList [], n = 0}}),
("August",
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}})]