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duckling/Duckling/Ranking/Classifiers/ZH_TW.hs

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Chinese locales + fix TW National Day Summary: * Moving `ruleNationalDay` from `ZH` rules to specific locales: `zh_CN`, `zh_HK`, `zh_MO` * Fixed National Day for `zh_TW`. Reviewed By: blandinw Differential Revision: D6057565 fbshipit-source-id: 8f9f2ab
2017-10-14 02:36:00 +03:00
-- 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 #-}
module Duckling.Ranking.Classifiers.ZH_TW (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types
classifiers :: Classifiers
classifiers
= HashMap.fromList
[("<time> timezone",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.6094379124341003,
likelihoods =
HashMap.fromList
[("<time-of-day> am|pm", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 1},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [], n = 0}}),
("Thursday",
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}}),
("integer (numeric)",
Classifier{okData =
ClassData{prior = -0.5020919437972361, unseen = -3.871201010907891,
likelihoods = HashMap.fromList [("", 0.0)], n = 46},
koData =
ClassData{prior = -0.9295359586241757,
unseen = -3.4657359027997265,
likelihoods = HashMap.fromList [("", 0.0)], n = 30}}),
("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}}),
("today",
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",
Classifier{okData =
ClassData{prior = -1.6094379124341003,
unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
("absorption of , after named day",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.833213344056216,
likelihoods =
HashMap.fromList
[("day", -0.6931471805599453), ("Sunday", -0.6931471805599453)],
n = 7},
koData =
ClassData{prior = -infinity, unseen = -1.0986122886681098,
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}}),
("October",
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}}),
("month (grain)",
Classifier{okData =
ClassData{prior = -0.9808292530117262, unseen = -3.258096538021482,
likelihoods = HashMap.fromList [("", 0.0)], n = 24},
koData =
ClassData{prior = -0.4700036292457356,
unseen = -3.7376696182833684,
likelihoods = HashMap.fromList [("", 0.0)], n = 40}}),
("<time-of-day> o'clock",
Classifier{okData =
ClassData{prior = -0.4418327522790392, unseen = -3.044522437723423,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 9},
koData =
ClassData{prior = -1.0296194171811581,
unseen = -2.5649493574615367,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -0.6931471805599453),
("hour", -0.6931471805599453)],
n = 5}}),
("national day",
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}}),
("Wednesday",
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}}),
("hour (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}}),
("intersect",
Classifier{okData =
ClassData{prior = -0.4367176516122688, unseen = -4.624972813284271,
likelihoods =
HashMap.fromList
[("children's day<part-of-day> <dim time>", -3.5165082281731497),
("year (numeric with year symbol)<named-month> <day-of-month>",
-1.5705980791178364),
("dayday", -1.9070703157390494),
("hourhour", -3.005682604407159),
("hourminute", -3.5165082281731497),
("absorption of , after named day<named-month> <day-of-month>",
-1.9070703157390494),
("dayminute", -3.5165082281731497),
("tonight<time-of-day> o'clock", -3.005682604407159),
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
-3.5165082281731497),
("yearday", -1.5705980791178364)],
n = 42},
koData =
ClassData{prior = -1.0388930539664873,
unseen = -4.1588830833596715,
likelihoods =
HashMap.fromList
[("children's day<part-of-day> <dim time>", -2.1972245773362196),
("dayhour", -2.5336968139574325),
("daymonth", -2.063693184711697),
("year (numeric with year symbol)February", -3.044522437723423),
("<dim time> <part-of-day><time-of-day> o'clock",
-3.044522437723423),
("hourhour", -3.044522437723423),
("year (numeric with year symbol)March", -2.5336968139574325),
("hourminute", -3.044522437723423),
("yearmonth", -2.1972245773362196),
("dayminute", -3.044522437723423),
("<dim time> <part-of-day>relative minutes after|past <integer> (hour-of-day)",
-3.044522437723423),
("absorption of , after named dayFebruary",
-2.063693184711697)],
n = 23}}),
("year (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}}),
("Saturday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
Make all years latent Summary: Make all years latent to prevent any four digit number to be considered a year. Reviewed By: patapizza Differential Revision: D7559843 fbshipit-source-id: f3a8625dd7d74edfffb13401278d6b4a5110359a
2018-04-11 15:02:05 +03:00
("last tuesday, last july",
Classifier{okData =
ClassData{prior = -1.2039728043259361,
unseen = -3.4965075614664802,
likelihoods =
HashMap.fromList
[("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
("Tuesday", -1.6739764335716716)],
n = 12},
koData =
ClassData{prior = -0.35667494393873245,
unseen = -4.174387269895637,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -1.0233888674305223),
("month (numeric with month symbol)", -2.367123614131617),
("February", -3.4657359027997265),
("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
n = 28}}),
Chinese locales + fix TW National Day Summary: * Moving `ruleNationalDay` from `ZH` rules to specific locales: `zh_CN`, `zh_HK`, `zh_MO` * Fixed National Day for `zh_TW`. Reviewed By: blandinw Differential Revision: D6057565 fbshipit-source-id: 8f9f2ab
2017-10-14 02:36:00 +03:00
("next <cycle>",
Classifier{okData =
ClassData{prior = -0.7472144018302211,
unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", -1.3862943611198906),
("month (grain)", -1.791759469228055),
("year (grain)", -2.4849066497880004),
("week (grain)", -1.3862943611198906),
("year", -2.4849066497880004), ("month", -1.791759469228055)],
n = 9},
koData =
ClassData{prior = -0.6418538861723948, unseen = -3.295836866004329,
likelihoods =
HashMap.fromList
[("week", -0.8602012652231115),
("week (grain)", -0.8602012652231115)],
n = 10}}),
("last year",
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}}),
("this <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.970291913552122,
likelihoods =
HashMap.fromList
[("Wednesday", -1.8718021769015913),
("Monday", -1.8718021769015913), ("day", -0.7323678937132265),
("Tuesday", -1.5533484457830569)],
n = 24},
koData =
ClassData{prior = -infinity, unseen = -1.6094379124341003,
likelihoods = HashMap.fromList [], n = 0}}),
("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 = -1.791759469228055,
likelihoods = HashMap.fromList [("", 0.0)], n = 4},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("evening|night",
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}}),
("Monday",
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}}),
("yesterday",
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}}),
("next year",
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:mm (time-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}}),
("<integer> (latent time-of-day)",
Classifier{okData =
ClassData{prior = -1.3217558399823195,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.2809338454620642),
("integer (0..10)", -0.325422400434628)],
n = 16},
koData =
ClassData{prior = -0.3101549283038396,
unseen = -3.8501476017100584,
likelihoods =
HashMap.fromList
[("integer (numeric)", -2.2192034840549946),
("integer (0..10)", -0.11506932978478723)],
n = 44}}),
("nth <time> of <time>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.995732273553991,
likelihoods =
HashMap.fromList
[("Octoberordinal (digits)Monday", -1.3350010667323402),
("monthday", -0.7472144018302211),
("month (numeric with month symbol)ordinal (digits)Monday",
-1.3350010667323402)],
n = 8},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
("month (numeric with month symbol)",
Classifier{okData =
ClassData{prior = -0.13976194237515874,
unseen = -3.7612001156935624,
likelihoods =
HashMap.fromList
[("integer (numeric)", -1.0296194171811581),
("integer (0..10)", -0.4418327522790392)],
n = 40},
koData =
ClassData{prior = -2.03688192726104, unseen = -2.1972245773362196,
likelihoods =
HashMap.fromList [("integer (0..10)", -0.13353139262452263)],
n = 6}}),
("week (grain)",
Classifier{okData =
ClassData{prior = -0.8434293836092833,
unseen = -3.6635616461296463,
likelihoods = HashMap.fromList [("", 0.0)], n = 37},
koData =
ClassData{prior = -0.5625269981428811,
unseen = -3.9318256327243257,
likelihoods = HashMap.fromList [("", 0.0)], n = 49}}),
("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}}),
("year (numeric with year symbol)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.772588722239781,
likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
n = 14},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("now",
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}}),
("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}}),
("Friday",
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}}),
("tomorrow",
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}}),
("this year",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("next <day-of-week>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.1780538303479458,
likelihoods =
HashMap.fromList
[("Wednesday", -1.3437347467010947),
("day", -0.7375989431307791), ("Tuesday", -1.3437347467010947)],
n = 10},
koData =
ClassData{prior = -infinity, unseen = -1.3862943611198906,
likelihoods = HashMap.fromList [], n = 0}}),
Numeral: move `ruleFractions` to common + cleanup numeral flag for Time Summary: * Closes PRs #115, #116. * `Numeral`: Moves `ruleFractions` to common * `Numeral/PT`: fixes dot in regex * `Time`: Moves `isNumeralSafeToUse` to `isIntegerBetween` (more robust and cleaner) * `Time/EN`: refactored `ruleCycleLastNextN` to `ruleDurationLastNext` (so it also accounts for non-safe Numerals, like "in a few days") Reviewed By: blandinw Differential Revision: D6502958 fbshipit-source-id: 6d9c08a23dab88f441aadade08d663c8e0da415d
2017-12-15 21:06:16 +03:00
("fractional number",
Classifier{okData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -1.9459101490553135,
likelihoods = HashMap.fromList [("", 0.0)], n = 5}}),
Chinese locales + fix TW National Day Summary: * Moving `ruleNationalDay` from `ZH` rules to specific locales: `zh_CN`, `zh_HK`, `zh_MO` * Fixed National Day for `zh_TW`. Reviewed By: blandinw Differential Revision: D6057565 fbshipit-source-id: 8f9f2ab
2017-10-14 02:36:00 +03:00
("Sunday",
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}}),
("afternoon",
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}}),
("<duration> from now",
Classifier{okData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -3.891820298110627,
likelihoods =
HashMap.fromList
[("week", -2.2617630984737906), ("second", -2.772588722239781),
("day", -2.2617630984737906), ("year", -2.772588722239781),
("<integer> <unit-of-duration>", -0.8266785731844679),
("hour", -2.2617630984737906), ("month", -2.772588722239781),
("minute", -2.772588722239781)],
n = 20}}),
("February",
Classifier{okData =
ClassData{prior = -6.453852113757118e-2,
unseen = -2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("this <cycle>",
Classifier{okData =
ClassData{prior = -1.0185695809945732,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("week", -0.916290731874155),
("year (grain)", -2.3025850929940455),
("week (grain)", -0.916290731874155),
("year", -2.3025850929940455)],
n = 13},
koData =
ClassData{prior = -0.4480247225269604,
unseen = -3.9318256327243257,
likelihoods =
HashMap.fromList
[("week", -0.7339691750802004),
("week (grain)", -0.7339691750802004)],
n = 23}}),
("minute (grain)",
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}}),
("<dim time> <part-of-day>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.9889840465642745,
likelihoods =
HashMap.fromList
[("dayhour", -0.7514160886839211),
("national dayevening|night", -2.871679624884012),
("<named-month> <day-of-month>morning", -1.405342556090585),
("children's dayafternoon", -2.871679624884012),
("Mondaymorning", -1.7730673362159024)],
n = 24},
koData =
ClassData{prior = -infinity, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [], n = 0}}),
("<part-of-day> <dim time>",
Classifier{okData =
ClassData{prior = -0.587786664902119, unseen = -3.891820298110627,
likelihoods =
HashMap.fromList
[("tonight<integer> (latent time-of-day)", -2.2617630984737906),
("hourhour", -1.1631508098056809),
("afternoonrelative minutes after|past <integer> (hour-of-day)",
-2.0794415416798357),
("afternoon<time-of-day> o'clock", -2.4849066497880004),
("hourminute", -1.9252908618525775),
("afternoon<integer> (latent time-of-day)",
-2.4849066497880004),
("afternoonhh:mm (time-of-day)", -3.1780538303479458),
("tonight<time-of-day> o'clock", -2.2617630984737906)],
n = 20},
koData =
ClassData{prior = -0.8109302162163288, unseen = -3.713572066704308,
likelihoods =
HashMap.fromList
[("hourhour", -1.2039728043259361),
("afternoonrelative minutes after|past <integer> (hour-of-day)",
-1.8971199848858813),
("afternoon<time-of-day> o'clock", -1.8971199848858813),
("hourminute", -1.8971199848858813),
("afternoon<integer> (latent time-of-day)",
-1.742969305058623)],
n = 16}}),
("<integer> <unit-of-duration>",
Classifier{okData =
ClassData{prior = -infinity, unseen = -2.833213344056216,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -5.877735781779639,
likelihoods =
HashMap.fromList
[("week", -2.6560549059838294),
("integer (0..10)month (grain)", -2.068268241081711),
("integer (0..10)hour (grain)", -2.8304082931286074),
("second", -3.235873401236772),
("integer (0..10)day (grain)", -3.0417173867958143),
("integer (0..10)year (grain)", -3.572345637857985),
("integer (numeric)year (grain)", -3.1668805297498204),
("integer (0..10)second (grain)", -3.235873401236772),
("day", -3.0417173867958143), ("year", -2.6968769005040847),
("integer (0..10)minute (grain)", -3.0417173867958143),
("hour", -2.8304082931286074),
("integer (0..10)week (grain)", -2.6560549059838294),
("month", -1.7973932869463112),
("integer (numeric)month (grain)", -3.1668805297498204),
("minute", -3.0417173867958143)],
n = 170}}),
("integer (11..19)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -2.70805020110221,
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 13},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("<time-of-day> am|pm",
Classifier{okData =
ClassData{prior = -0.4700036292457356, unseen = -2.70805020110221,
likelihoods =
HashMap.fromList
[("hh:mm (time-of-day)", -1.252762968495368),
("<integer> (latent time-of-day)", -1.540445040947149),
("hour", -1.540445040947149), ("minute", -1.252762968495368)],
n = 5},
koData =
ClassData{prior = -0.9808292530117262,
unseen = -2.3978952727983707,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -0.916290731874155),
("hour", -0.916290731874155)],
n = 3}}),
("relative minutes after|past <integer> (hour-of-day)",
Classifier{okData =
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)integer (11..19)",
-0.7731898882334817),
("hour", -0.7731898882334817)],
n = 5},
koData =
ClassData{prior = -0.6931471805599453, unseen = -2.639057329615259,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)integer (0..10)",
-0.7731898882334817),
("hour", -0.7731898882334817)],
n = 5}}),
("army'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}}),
("intersect by \",\"",
Classifier{okData =
ClassData{prior = -0.40546510810816444,
unseen = -3.4965075614664802,
likelihoods =
HashMap.fromList
[("Sunday<named-month> <day-of-month>", -0.7576857016975165),
("dayday", -0.7576857016975165)],
n = 14},
koData =
ClassData{prior = -1.0986122886681098,
unseen = -2.9444389791664407,
likelihoods =
HashMap.fromList
[("daymonth", -0.8109302162163288),
("SundayFebruary", -0.8109302162163288)],
n = 7}}),
("second (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}}),
("<duration> ago",
Classifier{okData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0},
koData =
ClassData{prior = 0.0, unseen = -3.891820298110627,
likelihoods =
HashMap.fromList
[("week", -2.2617630984737906), ("second", -2.772588722239781),
("day", -2.2617630984737906), ("year", -2.772588722239781),
("<integer> <unit-of-duration>", -0.8266785731844679),
("hour", -2.2617630984737906), ("month", -2.772588722239781),
("minute", -2.772588722239781)],
n = 20}}),
("last <time>",
Classifier{okData =
ClassData{prior = -1.2039728043259361,
unseen = -3.4965075614664802,
likelihoods =
HashMap.fromList
[("day", -0.9007865453381898), ("Sunday", -1.3862943611198906),
("Tuesday", -1.6739764335716716)],
n = 12},
koData =
ClassData{prior = -0.35667494393873245,
unseen = -4.174387269895637,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -1.0233888674305223),
("month (numeric with month symbol)", -2.367123614131617),
("February", -3.4657359027997265),
("hour", -1.0233888674305223), ("month", -2.2129729343043585)],
n = 28}}),
("March",
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}}),
("the day after tomorrow",
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}}),
("next <time>",
Classifier{okData =
ClassData{prior = -1.5260563034950494, unseen = -2.890371757896165,
likelihoods =
HashMap.fromList
[("day", -1.041453874828161), ("Tuesday", -1.041453874828161)],
n = 5},
koData =
ClassData{prior = -0.24512245803298496,
unseen = -3.784189633918261,
likelihoods =
HashMap.fromList
[("Wednesday", -1.9694406464655074),
("<integer> (latent time-of-day)", -1.1962507582320256),
("month (numeric with month symbol)", -3.068052935133617),
("day", -1.9694406464655074), ("hour", -1.1962507582320256),
("month", -3.068052935133617)],
n = 18}}),
("last <cycle>",
Classifier{okData =
ClassData{prior = -0.8472978603872037,
unseen = -3.2188758248682006,
likelihoods =
HashMap.fromList
[("week", -1.3862943611198906),
("month (grain)", -1.791759469228055),
("year (grain)", -2.4849066497880004),
("week (grain)", -1.3862943611198906),
("year", -2.4849066497880004), ("month", -1.791759469228055)],
n = 9},
koData =
ClassData{prior = -0.5596157879354228,
unseen = -3.4339872044851463,
likelihoods =
HashMap.fromList
[("week", -0.8362480242006186),
("week (grain)", -0.8362480242006186)],
n = 12}}),
("christmas",
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 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}}),
("next n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.59511985013459,
likelihoods =
HashMap.fromList
[("week", -2.3877429013343523),
("integer (0..10)month (grain)", -2.793208009442517),
("integer (0..10)hour (grain)", -2.3877429013343523),
("second", -2.793208009442517),
("integer (0..10)day (grain)", -2.505525936990736),
("integer (0..10)year (grain)", -3.1986731175506815),
("integer (0..10)second (grain)", -2.793208009442517),
("day", -2.505525936990736), ("year", -3.1986731175506815),
("integer (0..10)minute (grain)", -2.639057329615259),
("hour", -2.3877429013343523),
("integer (0..10)week (grain)", -2.3877429013343523),
("month", -2.793208009442517), ("minute", -2.639057329615259)],
n = 42},
koData =
ClassData{prior = -infinity, unseen = -2.70805020110221,
likelihoods = HashMap.fromList [], n = 0}}),
("Tuesday",
Classifier{okData =
ClassData{prior = 0.0, unseen = -3.295836866004329,
likelihoods = HashMap.fromList [("", 0.0)], n = 25},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("children'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}}),
("<named-month> <day-of-month>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.8283137373023015,
likelihoods =
HashMap.fromList
[("Marchinteger (0..10)", -3.028522096376982),
("Februaryinteger (11..19)", -2.6230569882688175),
("month (numeric with month symbol)integer (11..19)",
-2.6230569882688175),
("Marchinteger (numeric)", -3.721669276936927),
("month (numeric with month symbol)integer (numeric)",
-2.1122313645028266),
("Februaryinteger (0..10)", -2.740840023925201),
("month", -0.7427441216993174),
("month (numeric with month symbol)integer (0..10)",
-2.1122313645028266)],
n = 58},
koData =
ClassData{prior = -infinity, unseen = -2.1972245773362196,
likelihoods = HashMap.fromList [], n = 0}}),
("integer (0..10)",
Classifier{okData =
ClassData{prior = -0.4540728071735412, unseen = -5.170483995038151,
likelihoods = HashMap.fromList [("", 0.0)], n = 174},
koData =
ClassData{prior = -1.007957920399979, unseen = -4.624972813284271,
likelihoods = HashMap.fromList [("", 0.0)], n = 100}}),
("last n <cycle>",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.61512051684126,
likelihoods =
HashMap.fromList
[("week", -2.995732273553991),
("integer (0..10)month (grain)", -2.120263536200091),
("integer (0..10)hour (grain)", -2.4079456086518722),
("second", -2.659260036932778),
("integer (0..10)day (grain)", -2.995732273553991),
("integer (0..10)year (grain)", -3.506557897319982),
("integer (0..10)second (grain)", -2.659260036932778),
("day", -2.995732273553991), ("year", -3.506557897319982),
("integer (0..10)minute (grain)", -2.4079456086518722),
("hour", -2.4079456086518722),
("integer (0..10)week (grain)", -2.995732273553991),
("month", -2.120263536200091), ("minute", -2.4079456086518722)],
n = 43},
koData =
ClassData{prior = -infinity, unseen = -2.70805020110221,
likelihoods = HashMap.fromList [], n = 0}}),
("ordinal (digits)",
Classifier{okData =
ClassData{prior = 0.0, unseen = -1.791759469228055,
likelihoods = HashMap.fromList [("integer (0..10)", 0.0)], n = 4},
koData =
ClassData{prior = -infinity, unseen = -0.6931471805599453,
likelihoods = HashMap.fromList [], n = 0}}),
("n <cycle> last",
Classifier{okData =
ClassData{prior = 0.0, unseen = -4.007333185232471,
likelihoods =
HashMap.fromList
[("week", -2.379546134130174),
("integer (0..10)month (grain)", -2.890371757896165),
("integer (0..10)hour (grain)", -2.379546134130174),
("second", -2.890371757896165),
("integer (0..10)day (grain)", -2.379546134130174),
("integer (0..10)year (grain)", -2.890371757896165),
("integer (0..10)second (grain)", -2.890371757896165),
("day", -2.379546134130174), ("year", -2.890371757896165),
("integer (0..10)minute (grain)", -2.890371757896165),
("hour", -2.379546134130174),
("integer (0..10)week (grain)", -2.379546134130174),
("month", -2.890371757896165), ("minute", -2.890371757896165)],
n = 20},
koData =
ClassData{prior = -infinity, unseen = -2.70805020110221,
likelihoods = HashMap.fromList [], n = 0}}),
("morning",
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}}),
("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}}),
("day (grain)",
Classifier{okData =
ClassData{prior = -6.453852113757118e-2,
unseen = -2.833213344056216,
likelihoods = HashMap.fromList [("", 0.0)], n = 15},
koData =
ClassData{prior = -2.772588722239781, unseen = -1.0986122886681098,
likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
("labor 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}}),
("women'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}}),
("this <time>",
Classifier{okData =
ClassData{prior = -0.2076393647782445, unseen = -4.0943445622221,
likelihoods =
HashMap.fromList
[("Wednesday", -1.9980959022258835),
("Monday", -1.9980959022258835), ("day", -0.8586616190375187),
("hour", -2.9789251552376097), ("Tuesday", -1.6796421711073488),
("week-end", -2.9789251552376097)],
n = 26},
koData =
ClassData{prior = -1.6739764335716716, unseen = -2.995732273553991,
likelihoods =
HashMap.fromList
[("<integer> (latent time-of-day)", -0.9985288301111273),
("hour", -0.9985288301111273)],
n = 6}})]
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