-- 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_MO (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}}),
       ("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}}),
       ("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}}),
       ("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}}),
       ("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}})]