-- 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.RU_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("midnight",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("week",
        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}}),
       ("\1055\1086\1085\1077\1076\1077\1083\1100\1085\1080\1082",
        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}}),
       ("<time> timezone",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mm", -0.6931471805599453),
                                    ("minute", -0.6931471805599453)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (numeric)",
        Classifier{okData =
                     ClassData{prior = -0.7865811872060422, unseen = -4.59511985013459,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 97},
                   koData =
                     ClassData{prior = -0.6077019746030605, unseen = -4.770684624465665,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 116}}),
       ("\1057\1088\1077\1076\1072",
        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 (3..19)",
        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}}),
       ("lunch",
        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}}),
       ("\1087\1086\1079\1072\1087\1086\1079\1072\1074\1095\1077\1088\1072",
        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}}),
       ("integer (20..90)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
       ("\1074\1095\1077\1088\1072",
        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}}),
       ("<time> <part-of-day>",
        Classifier{okData =
                     ClassData{prior = -0.1568424714929697, unseen = -4.919980925828125,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clockmorning", -3.8140425970679424),
                                    ("until <time-of-day>afternoon", -4.219507705176107),
                                    ("dayhour", -2.966744736680739),
                                    ("on <date>evening", -4.219507705176107),
                                    ("at <time-of-day>evening", -4.219507705176107),
                                    ("intersect by ','evening", -3.8140425970679424),
                                    ("intersectevening", -2.4277482359480516),
                                    ("hourhour", -1.1514547700424895),
                                    ("\1079\1072\1074\1090\1088\1072lunch", -4.219507705176107),
                                    ("on <date>afternoon", -3.3032169733019514),
                                    ("at <time-of-day>afternoon", -3.3032169733019514),
                                    ("<time-of-day>  o'clockafternoon", -2.4277482359480516),
                                    ("until <time-of-day>morning", -4.219507705176107),
                                    ("minutehour", -3.120895416507997),
                                    ("time-of-day (latent)morning", -4.219507705176107),
                                    ("hh:mmmorning", -4.219507705176107),
                                    ("\1074\1095\1077\1088\1072evening", -4.219507705176107),
                                    ("time-of-day (latent)evening", -4.219507705176107),
                                    ("\1079\1072\1074\1090\1088\1072evening", -4.219507705176107),
                                    ("\1089\1077\1075\1086\1076\1085\1103afternoon",
                                     -3.8140425970679424),
                                    ("<time-of-day>  o'clockevening", -3.8140425970679424),
                                    ("\1089\1077\1075\1086\1076\1085\1103evening",
                                     -4.219507705176107),
                                    ("hh:mmnight", -4.219507705176107),
                                    ("hh:mmafternoon", -4.219507705176107),
                                    ("on <date>morning", -4.219507705176107),
                                    ("at <time-of-day>morning", -4.219507705176107)],
                               n = 53},
                   koData =
                     ClassData{prior = -1.929909807708872, unseen = -3.891820298110627,
                               likelihoods =
                                 HashMap.fromList
                                   [("yearhour", -2.772588722239781),
                                    ("intersectevening", -2.4849066497880004),
                                    ("hourhour", -1.791759469228055),
                                    ("year (latent)afternoon", -3.1780538303479458),
                                    ("year (latent)night", -3.1780538303479458),
                                    ("time-of-day (latent)afternoon", -2.2617630984737906)],
                               n = 9}}),
       ("numbers prefix with -, minus",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.4700036292457356),
                                    ("decimal number", -0.9808292530117262)],
                               n = 22}}),
       ("mm/dd",
        Classifier{okData =
                     ClassData{prior = -0.7801585575495751,
                               unseen = -2.5649493574615367,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
                   koData =
                     ClassData{prior = -0.6131044728864089, unseen = -2.70805020110221,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 13}}),
       ("at <time-of-day>",
        Classifier{okData =
                     ClassData{prior = -8.004270767353637e-2,
                               unseen = -4.382026634673881,
                               likelihoods =
                                 HashMap.fromList
                                   [("midnight", -3.676300671907076),
                                    ("<time-of-day>  o'clock", -1.8044984950054848),
                                    ("time-of-day (latent)", -1.3737155789130304),
                                    ("hh:mm", -2.9831534913471307), ("noon", -3.676300671907076),
                                    ("hour", -0.84308732785086), ("minute", -2.9831534913471307)],
                               n = 36},
                   koData =
                     ClassData{prior = -2.5649493574615367, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -1.1786549963416462),
                                    ("hour", -1.1786549963416462)],
                               n = 3}}),
       ("absorption of , after named day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("\1055\1086\1085\1077\1076\1077\1083\1100\1085\1080\1082",
                                     -2.0794415416798357),
                                    ("\1057\1088\1077\1076\1072", -2.0794415416798357),
                                    ("\1042\1086\1089\1082\1088\1077\1089\1077\1085\1100\1077",
                                     -2.4849066497880004),
                                    ("day", -0.8754687373538999),
                                    ("\1057\1091\1073\1073\1086\1090\1072", -2.4849066497880004),
                                    ("\1055\1103\1090\1085\1080\1094\1072", -1.791759469228055)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("on <date>",
        Classifier{okData =
                     ClassData{prior = -1.5748356968139168e-2,
                               unseen = -4.990432586778736,
                               likelihoods =
                                 HashMap.fromList
                                   [("midnight", -4.290459441148391),
                                    ("\1055\1086\1085\1077\1076\1077\1083\1100\1085\1080\1082",
                                     -4.290459441148391),
                                    ("<time> <part-of-day>", -3.0376964726530233),
                                    ("<time-of-day>  o'clock", -2.4186572642467996),
                                    ("<ordinal> quarter", -4.290459441148391),
                                    ("intersect", -2.4186572642467996),
                                    ("<day-of-month>(ordinal) <named-month>", -3.884994333040227),
                                    ("day", -2.039167642541896), ("quarter", -4.290459441148391),
                                    ("time-of-day (latent)", -2.2755564206061263),
                                    ("\1057\1091\1073\1073\1086\1090\1072", -3.884994333040227),
                                    ("hh:mm", -3.597312260588446),
                                    ("\1042\1090\1086\1088\1085\1080\1082", -4.290459441148391),
                                    ("\1055\1103\1090\1085\1080\1094\1072", -4.290459441148391),
                                    ("<day-of-month> (ordinal)", -3.884994333040227),
                                    ("noon", -4.290459441148391), ("hour", -1.2700345550040286),
                                    ("this|next <day-of-week>", -3.597312260588446),
                                    ("<day-of-month>(ordinal) <named-month> year",
                                     -4.290459441148391),
                                    ("minute", -3.3741687092742363)],
                               n = 63},
                   koData =
                     ClassData{prior = -4.1588830833596715,
                               unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -2.3978952727983707),
                                    ("<day-of-month> (ordinal)", -2.3978952727983707)],
                               n = 1}}),
       ("\1050\1086\1085\1077\1094 \1084\1077\1089\1103\1094\1072",
        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}}),
       ("\1074\1077\1089\1085\1072",
        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}}),
       ("integer 1",
        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}}),
       ("between <time-of-day> and <time-of-day> (interval)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)time-of-day (latent)",
                                     -0.6931471805599453),
                                    ("hourhour", -0.6931471805599453)],
                               n = 1}}),
       ("month (grain)",
        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}}),
       ("<time-of-day>  o'clock",
        Classifier{okData =
                     ClassData{prior = -0.12629372532429212,
                               unseen = -4.709530201312334,
                               likelihoods =
                                 HashMap.fromList
                                   [("at <time-of-day>", -2.1355310083308794),
                                    ("on <date>", -2.1355310083308794),
                                    ("time-of-day (latent)", -1.5649861498632667),
                                    ("until <time-of-day>", -3.3141860046725258),
                                    ("hour", -0.7301884522402944),
                                    ("after <time-of-day>", -3.3141860046725258)],
                               n = 52},
                   koData =
                     ClassData{prior = -2.1316272948504063, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)", -0.916290731874155),
                                    ("hour", -0.916290731874155)],
                               n = 7}}),
       ("\1053\1086\1074\1099\1081 \1075\1086\1076",
        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}}),
       ("\1087\1086\1079\1072\1074\1095\1077\1088\1072",
        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}}),
       ("\1083\1077\1090\1086",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("hour (grain)",
        Classifier{okData =
                     ClassData{prior = -1.580450375560848, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -0.23052365861183238,
                               unseen = -3.367295829986474,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 27}}),
       ("<ordinal> quarter",
        Classifier{okData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("quarter", -0.6931471805599453),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)quarter (grain)",
                                     -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -0.6931471805599453,
                               unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("quarter", -0.6931471805599453),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)quarter (grain)",
                                     -0.6931471805599453)],
                               n = 2}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -0.16799173123912972,
                               unseen = -6.028278520230698,
                               likelihoods =
                                 HashMap.fromList
                                   [("\1089\1077\1075\1086\1076\1085\1103on <date>",
                                     -4.639571612705423),
                                    ("<day-of-month> (ordinal)\1040\1074\1075\1091\1089\1090",
                                     -5.332718793265369),
                                    ("hourday", -4.079955824770001),
                                    ("<datetime> - <datetime> (interval)year", -5.332718793265369),
                                    ("\1063\1077\1090\1074\1077\1088\1075<time> timezone",
                                     -4.927253685157205),
                                    ("hh:mm<part-of-day> of <time>", -4.416428061391214),
                                    ("dayhour", -2.1757183721152558),
                                    ("daymonth", -2.336986519711378),
                                    ("monthyear", -3.627970701026944),
                                    ("yearhour", -5.332718793265369),
                                    ("intersect<time-of-day>  o'clock", -4.416428061391214),
                                    ("absorption of , after named daymm/dd/yyyy",
                                     -5.332718793265369),
                                    ("intersect<time> <part-of-day>", -4.416428061391214),
                                    ("intersect by ','year", -4.927253685157205),
                                    ("<day-of-month> (ordinal)\1060\1077\1074\1088\1072\1083\1100",
                                     -3.253277251585533),
                                    ("on <date><time-of-day>  o'clock", -4.927253685157205),
                                    ("<day-of-month> (ordinal)\1054\1082\1090\1103\1073\1088\1100",
                                     -4.927253685157205),
                                    ("mm/dd<time-of-day>  o'clock", -4.927253685157205),
                                    ("on <date>at <time-of-day>", -4.639571612705423),
                                    ("\1079\1072\1074\1090\1088\1072on <date>", -5.332718793265369),
                                    ("dayday", -3.317815772723104),
                                    ("at <time-of-day>\1079\1072\1074\1090\1088\1072",
                                     -5.332718793265369),
                                    ("mm/ddat <time-of-day>", -4.927253685157205),
                                    ("<day-of-month> (ordinal)intersect", -3.828641396489095),
                                    ("on <date>\1079\1072\1074\1090\1088\1072", -5.332718793265369),
                                    ("hh:mmintersect by ','", -5.332718793265369),
                                    ("<day-of-month> (ordinal)\1040\1087\1088\1077\1083\1100",
                                     -5.332718793265369),
                                    ("<day-of-month> (ordinal)\1052\1072\1088\1090",
                                     -4.079955824770001),
                                    ("intersect<day-of-month> (non ordinal) <named-month>",
                                     -4.927253685157205),
                                    ("dayyear", -2.560130071025588),
                                    ("<day-of-month> (non ordinal) <named-month>intersect",
                                     -5.332718793265369),
                                    ("<day-of-month>(ordinal) <named-month>year",
                                     -3.828641396489095),
                                    ("\1053\1086\1103\1073\1088\1100year", -5.332718793265369),
                                    ("absorption of , after named day<day-of-month>(ordinal) <named-month>",
                                     -5.332718793265369),
                                    ("minutehour", -4.079955824770001),
                                    ("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
                                     -3.9464244321454784),
                                    ("\1089\1077\1075\1086\1076\1085\1103<time> <part-of-day>",
                                     -4.927253685157205),
                                    ("<day-of-month> (ordinal)\1052\1072\1081", -5.332718793265369),
                                    ("\1089\1077\1075\1086\1076\1085\1103at <time-of-day>",
                                     -4.416428061391214),
                                    ("hh:mmintersect", -5.332718793265369),
                                    ("\1054\1082\1090\1103\1073\1088\1100year", -4.639571612705423),
                                    ("on <date>\1060\1077\1074\1088\1072\1083\1100",
                                     -5.332718793265369),
                                    ("intersect by ','intersect", -5.332718793265369),
                                    ("absorption of , after named day<day-of-month> (ordinal)",
                                     -5.332718793265369),
                                    ("dayminute", -4.416428061391214),
                                    ("<time> <part-of-day>intersect", -5.332718793265369),
                                    ("intersect by ','\1060\1077\1074\1088\1072\1083\1100",
                                     -5.332718793265369),
                                    ("intersectyear", -3.5409593240373143),
                                    ("\1040\1087\1088\1077\1083\1100year", -5.332718793265369),
                                    ("on <date>intersect", -5.332718793265369),
                                    ("minuteday", -4.079955824770001),
                                    ("absorption of , after named dayintersect", -4.23410650459726),
                                    ("\1079\1072\1074\1090\1088\1072<time-of-day>  o'clock",
                                     -4.927253685157205),
                                    ("intersect\1060\1077\1074\1088\1072\1083\1100",
                                     -5.332718793265369),
                                    ("year<time-of-day>  o'clock", -5.332718793265369),
                                    ("<time-of-day>  o'clock\1079\1072\1074\1090\1088\1072",
                                     -4.639571612705423),
                                    ("\1057\1091\1073\1073\1086\1090\1072on <date>",
                                     -5.332718793265369),
                                    ("intersect by ','<time> <part-of-day>", -5.332718793265369),
                                    ("\1057\1091\1073\1073\1086\1090\1072at <time-of-day>",
                                     -4.639571612705423),
                                    ("<time> <part-of-day>intersect by ','", -5.332718793265369),
                                    ("<time> <part-of-day>\1057\1091\1073\1073\1086\1090\1072",
                                     -5.332718793265369),
                                    ("\1042\1090\1086\1088\1085\1080\1082next <cycle>",
                                     -5.332718793265369),
                                    ("mm/ddyear", -4.927253685157205),
                                    ("intersect by ','<time-of-day>  o'clock", -5.332718793265369),
                                    ("absorption of , after named daymm/dd", -5.332718793265369),
                                    ("mm/ddon <date>", -5.332718793265369),
                                    ("<time> <part-of-day>absorption of , after named day",
                                     -5.332718793265369),
                                    ("on <date>year", -4.927253685157205),
                                    ("intersectintersect", -5.332718793265369),
                                    ("<part-of-day> of <time><day-of-month> (non ordinal) <named-month>",
                                     -5.332718793265369),
                                    ("\1057\1091\1073\1073\1086\1090\1072<time-of-day>  o'clock",
                                     -4.927253685157205),
                                    ("on <date>on <date>", -5.332718793265369),
                                    ("dayweek", -5.332718793265369),
                                    ("\1079\1072\1074\1090\1088\1072at <time-of-day>",
                                     -4.927253685157205),
                                    ("\1052\1072\1081year", -5.332718793265369),
                                    ("on <date>\1052\1072\1088\1090", -5.332718793265369),
                                    ("\1089\1077\1075\1086\1076\1085\1103<time-of-day>  o'clock",
                                     -4.927253685157205),
                                    ("<day-of-month> (non ordinal) <named-month>year",
                                     -4.23410650459726),
                                    ("\1052\1072\1088\1090year", -4.416428061391214)],
                               n = 164},
                   koData =
                     ClassData{prior = -1.8666607774011728, unseen = -4.990432586778736,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayhour", -4.290459441148391),
                                    ("daymonth", -2.7863820443721172),
                                    ("monthyear", -3.1918471524802814),
                                    ("yearhour", -4.290459441148391),
                                    ("intersect<time-of-day>  o'clock", -4.290459441148391),
                                    ("intersect<time> <part-of-day>", -4.290459441148391),
                                    ("<day-of-month> (ordinal)\1060\1077\1074\1088\1072\1083\1100",
                                     -3.3741687092742363),
                                    ("<day-of-month> (ordinal)\1054\1082\1090\1103\1073\1088\1100",
                                     -4.290459441148391),
                                    ("monthhour", -3.597312260588446),
                                    ("hourmonth", -4.290459441148391),
                                    ("<day-of-month> (ordinal)intersect", -3.884994333040227),
                                    ("dayyear", -2.681021528714291),
                                    ("<day-of-month>(ordinal) <named-month>year",
                                     -3.884994333040227),
                                    ("\1048\1102\1083\1100year", -3.884994333040227),
                                    ("between <time-of-day> and <time-of-day> (interval)\1048\1102\1083\1100",
                                     -4.290459441148391),
                                    ("\1048\1102\1083\1100intersect", -4.290459441148391),
                                    ("<day-of-month> (ordinal)\1052\1072\1081", -4.290459441148391),
                                    ("\1089\1077\1075\1086\1076\1085\1103at <time-of-day>",
                                     -4.290459441148391),
                                    ("dayminute", -3.884994333040227),
                                    ("\1063\1077\1090\1074\1077\1088\1075hh:mm",
                                     -3.884994333040227),
                                    ("intersectyear", -3.884994333040227),
                                    ("\1040\1087\1088\1077\1083\1100year", -4.290459441148391),
                                    ("year<time> <part-of-day>", -4.290459441148391),
                                    ("mm/ddyear", -3.1918471524802814),
                                    ("\1052\1072\1088\1090year", -3.884994333040227)],
                               n = 30}}),
       ("\1040\1087\1088\1077\1083\1100",
        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}}),
       ("\1087\1086\1089\1083\1077\1079\1072\1074\1090\1088\1072",
        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}}),
       ("year (grain)",
        Classifier{okData =
                     ClassData{prior = -0.10536051565782628,
                               unseen = -2.3978952727983707,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
                   koData =
                     ClassData{prior = -2.3025850929940455,
                               unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
       ("next <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.8718021769015913),
                                    ("month (grain)", -2.159484249353372),
                                    ("year (grain)", -2.159484249353372),
                                    ("week (grain)", -1.8718021769015913),
                                    ("quarter", -2.159484249353372), ("year", -2.159484249353372),
                                    ("month", -2.159484249353372),
                                    ("quarter (grain)", -2.159484249353372)],
                               n = 9},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("one <cycle> before last",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("month (grain)", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("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}}),
       ("mm/dd/yyyy",
        Classifier{okData =
                     ClassData{prior = -1.0116009116784799, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
                   koData =
                     ClassData{prior = -0.45198512374305727,
                               unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
       ("<ordinal> quarter <year>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..20th, then 30th, 40th, ..., 100th)quarter (grain)year",
                                     -0.6931471805599453),
                                    ("quarteryear", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\1054\1082\1090\1103\1073\1088\1100",
        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}}),
       ("ordinal 21..99",
        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}}),
       ("\1063\1077\1090\1074\1077\1088\1075",
        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}}),
       ("\1079\1080\1084\1072",
        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> of <time>",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthyear", -0.6931471805599453),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1052\1072\1081year",
                                     -0.6931471805599453)],
                               n = 1}}),
       ("ordinals (first..20th, then 30th, 40th, ..., 100th)",
        Classifier{okData =
                     ClassData{prior = -0.35667494393873245,
                               unseen = -2.772588722239781,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 14},
                   koData =
                     ClassData{prior = -1.2039728043259361,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6}}),
       ("\1042\1086\1089\1082\1088\1077\1089\1077\1085\1100\1077",
        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 = -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}}),
       ("<part-of-day> of <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -0.9555114450274363),
                                    ("nightabsorption of , after named day", -1.8718021769015913),
                                    ("night\1057\1091\1073\1073\1086\1090\1072",
                                     -1.8718021769015913),
                                    ("nightintersect by ','", -1.8718021769015913),
                                    ("nightintersect", -1.8718021769015913)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month>(ordinal) <named-month>",
        Classifier{okData =
                     ClassData{prior = -0.2076393647782445, unseen = -4.189654742026425,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..20th, then 30th, 40th, ..., 100th)\1040\1074\1075\1091\1089\1090",
                                     -3.481240089335692),
                                    ("ordinal 21..99\1054\1082\1090\1103\1073\1088\1100",
                                     -3.481240089335692),
                                    ("ordinal (digits)\1052\1072\1088\1090", -3.0757749812275272),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1060\1077\1074\1088\1072\1083\1100",
                                     -2.5649493574615367),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1052\1072\1088\1090",
                                     -2.5649493574615367),
                                    ("ordinal 21..99\1060\1077\1074\1088\1072\1083\1100",
                                     -2.5649493574615367),
                                    ("month", -0.878550403891308),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1040\1087\1088\1077\1083\1100",
                                     -3.481240089335692),
                                    ("ordinal (digits)\1054\1082\1090\1103\1073\1088\1100",
                                     -3.481240089335692),
                                    ("ordinal (digits)\1060\1077\1074\1088\1072\1083\1100",
                                     -2.094945728215801),
                                    ("ordinal 21..99\1052\1072\1081", -3.481240089335692)],
                               n = 26},
                   koData =
                     ClassData{prior = -1.6739764335716716, unseen = -3.258096538021482,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..20th, then 30th, 40th, ..., 100th)\1052\1072\1081",
                                     -2.5257286443082556),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1060\1077\1074\1088\1072\1083\1100",
                                     -1.6094379124341003),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1054\1082\1090\1103\1073\1088\1100",
                                     -2.5257286443082556),
                                    ("month", -1.2729656758128873)],
                               n = 6}}),
       ("\1048\1102\1083\1100",
        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}}),
       ("\1053\1086\1103\1073\1088\1100",
        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}}),
       ("\1040\1074\1075\1091\1089\1090",
        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}}),
       ("\1057\1077\1085\1090\1103\1073\1088\1100",
        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}}),
       ("integer 2",
        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}}),
       ("afternoon",
        Classifier{okData =
                     ClassData{prior = -0.45198512374305727,
                               unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -1.0116009116784799, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("this <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
                               likelihoods =
                                 HashMap.fromList
                                   [("month (grain)", -1.791759469228055),
                                    ("year (grain)", -1.791759469228055),
                                    ("quarter", -1.791759469228055), ("year", -1.791759469228055),
                                    ("month", -1.791759469228055),
                                    ("quarter (grain)", -1.791759469228055)],
                               n = 3},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("minute (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}}),
       ("night",
        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}}),
       ("\1079\1072\1074\1090\1088\1072",
        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}}),
       ("time-of-day (latent)",
        Classifier{okData =
                     ClassData{prior = -0.4372138064227446, unseen = -3.58351893845611,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.1880522315029396),
                                    ("integer (3..19)", -2.169053700369523)],
                               n = 31},
                   koData =
                     ClassData{prior = -1.0379876668516748,
                               unseen = -3.0910424533583156,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)", -0.4795730802618862),
                                    ("integer (3..19)", -1.9459101490553135),
                                    ("integer 1", -2.3513752571634776),
                                    ("integer 2", -1.9459101490553135)],
                               n = 17}}),
       ("\1087\1086\1089\1083\1077\1087\1086\1089\1083\1077\1079\1072\1074\1090\1088\1072",
        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}}),
       ("year",
        Classifier{okData =
                     ClassData{prior = -0.1823215567939546,
                               unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 20},
                   koData =
                     ClassData{prior = -1.791759469228055, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 4}}),
       ("<integer> <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -1.213022639845854, unseen = -4.304065093204169,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.498699971920336),
                                    ("integer 2week (grain)", -3.597312260588446),
                                    ("integer (numeric)day (grain)", -2.681021528714291),
                                    ("integer 1hour (grain)", -3.597312260588446),
                                    ("second", -3.597312260588446),
                                    ("integer 2hour (grain)", -3.597312260588446),
                                    ("integer (numeric)second (grain) ", -3.597312260588446),
                                    ("integer (numeric)year (grain)", -3.597312260588446),
                                    ("day", -2.681021528714291), ("year", -3.1918471524802814),
                                    ("integer (3..19)week (grain)", -3.597312260588446),
                                    ("integer (numeric)week (grain)", -2.9041650800285006),
                                    ("hour", -2.681021528714291), ("month", -3.597312260588446),
                                    ("integer (numeric)minute (grain)", -2.498699971920336),
                                    ("integer (3..19)month (grain)", -3.597312260588446),
                                    ("minute", -2.498699971920336),
                                    ("integer (numeric)hour (grain)", -3.1918471524802814),
                                    ("integer 2year (grain)", -3.597312260588446)],
                               n = 22},
                   koData =
                     ClassData{prior = -0.3528213746227423, unseen = -4.897839799950911,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -3.2809112157876537),
                                    ("integer 2week (grain)", -4.197201947661808),
                                    ("integer (numeric)day (grain)", -3.5040547671018634),
                                    ("integer (3..19)day (grain)", -4.197201947661808),
                                    ("integer 2minute (grain)", -4.197201947661808),
                                    ("second", -3.2809112157876537),
                                    ("integer 2month (grain)", -4.197201947661808),
                                    ("integer (3..19)second (grain) ", -4.197201947661808),
                                    ("integer (numeric)second (grain) ", -3.791736839553644),
                                    ("integer (numeric)year (grain)", -3.791736839553644),
                                    ("integer (3..19)year (grain)", -4.197201947661808),
                                    ("day", -3.0985896589936988), ("year", -3.2809112157876537),
                                    ("integer (3..19)week (grain)", -4.197201947661808),
                                    ("integer 2day (grain)", -4.197201947661808),
                                    ("integer (numeric)week (grain)", -3.791736839553644),
                                    ("integer (3..19)minute (grain)", -4.197201947661808),
                                    ("hour", -1.55814461804655), ("month", -3.2809112157876537),
                                    ("integer (numeric)minute (grain)", -3.791736839553644),
                                    ("integer 2second (grain) ", -4.197201947661808),
                                    ("integer (3..19)month (grain)", -4.197201947661808),
                                    ("integer (numeric)month (grain)", -3.791736839553644),
                                    ("integer (3..19)hour (grain)", -3.791736839553644),
                                    ("minute", -3.2809112157876537),
                                    ("integer (numeric)hour (grain)", -1.6322525902002718),
                                    ("integer 2year (grain)", -4.197201947661808)],
                               n = 52}}),
       ("\1057\1091\1073\1073\1086\1090\1072",
        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}}),
       ("a <unit-of-duration>",
        Classifier{okData =
                     ClassData{prior = -3.054001181677967, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.8718021769015913),
                                    ("hour (grain)", -2.5649493574615367),
                                    ("second", -2.5649493574615367),
                                    ("week (grain)", -1.8718021769015913),
                                    ("second (grain) ", -2.5649493574615367),
                                    ("hour", -2.5649493574615367)],
                               n = 5},
                   koData =
                     ClassData{prior = -4.831857727080768e-2,
                               unseen = -5.389071729816501,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.819545705327552),
                                    ("month (grain)", -2.7454377331738304),
                                    ("hour (grain)", -1.8581345381729275),
                                    ("year (grain)", -2.9865997899907186),
                                    ("second", -3.592735593561034),
                                    ("week (grain)", -2.819545705327552),
                                    ("day", -2.819545705327552), ("quarter", -3.305053521109253),
                                    ("minute (grain)", -3.0819099697950434),
                                    ("year", -2.9865997899907186),
                                    ("second (grain) ", -3.592735593561034),
                                    ("hour", -1.8581345381729275), ("month", -2.7454377331738304),
                                    ("quarter (grain)", -3.305053521109253),
                                    ("minute", -3.0819099697950434),
                                    ("day (grain)", -2.819545705327552)],
                               n = 101}}),
       ("dd.(mm.)? - dd.mm.(yy[yy]?)? (interval)",
        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}}),
       ("hh:mm",
        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 by ','",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -4.02535169073515,
                               likelihoods =
                                 HashMap.fromList
                                   [("hourday", -3.3141860046725258),
                                    ("dayhour", -2.908720896564361),
                                    ("\1055\1086\1085\1077\1076\1077\1083\1100\1085\1080\1082<day-of-month> (non ordinal) <named-month>",
                                     -2.908720896564361),
                                    ("\1055\1103\1090\1085\1080\1094\1072mm/dd",
                                     -3.3141860046725258),
                                    ("\1057\1088\1077\1076\1072<day-of-month> (non ordinal) <named-month>",
                                     -3.3141860046725258),
                                    ("\1057\1088\1077\1076\1072<day-of-month>(ordinal) <named-month>",
                                     -3.3141860046725258),
                                    ("\1055\1103\1090\1085\1080\1094\1072intersect",
                                     -2.3978952727983707),
                                    ("dayday", -1.2992829841302609),
                                    ("intersect<day-of-month> (non ordinal) <named-month>",
                                     -2.908720896564361),
                                    ("\1057\1088\1077\1076\1072intersect", -3.3141860046725258),
                                    ("\1057\1091\1073\1073\1086\1090\1072<day-of-month> (non ordinal) <named-month>",
                                     -3.3141860046725258),
                                    ("minuteday", -2.908720896564361),
                                    ("\1055\1103\1090\1085\1080\1094\1072mm/dd/yyyy",
                                     -3.3141860046725258),
                                    ("\1042\1086\1089\1082\1088\1077\1089\1077\1085\1100\1077<day-of-month> (non ordinal) <named-month>",
                                     -3.3141860046725258),
                                    ("<part-of-day> of <time><day-of-month> (non ordinal) <named-month>",
                                     -3.3141860046725258),
                                    ("\1055\1103\1090\1085\1080\1094\1072<day-of-month> (non ordinal) <named-month>",
                                     -2.908720896564361),
                                    ("\1057\1088\1077\1076\1072<day-of-month> (ordinal)",
                                     -3.3141860046725258)],
                               n = 19},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.890371757896165,
                               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}}),
       ("\1042\1090\1086\1088\1085\1080\1082",
        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}}),
       ("\1055\1103\1090\1085\1080\1094\1072",
        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}}),
       ("<duration> ago",
        Classifier{okData =
                     ClassData{prior = -0.5306282510621704, unseen = -3.295836866004329,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.466337068793427), ("day", -1.8718021769015913),
                                    ("year", -2.5649493574615367),
                                    ("<integer> <unit-of-duration>", -1.0608719606852628),
                                    ("a <unit-of-duration>", -2.159484249353372),
                                    ("month", -2.5649493574615367)],
                               n = 10},
                   koData =
                     ClassData{prior = -0.8873031950009028, unseen = -3.044522437723423,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -1.8971199848858813), ("day", -1.6094379124341003),
                                    ("year", -2.3025850929940455),
                                    ("a <unit-of-duration>", -0.916290731874155),
                                    ("month", -2.3025850929940455)],
                               n = 7}}),
       ("last <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453),
                                    ("\1042\1090\1086\1088\1085\1080\1082", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month> (ordinal)",
        Classifier{okData =
                     ClassData{prior = -0.325422400434628, unseen = -3.4011973816621555,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinal 21..99", -1.4213856809311607),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)",
                                     -0.9694005571881036),
                                    ("ordinal (digits)", -0.9694005571881036)],
                               n = 26},
                   koData =
                     ClassData{prior = -1.2809338454620642, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..20th, then 30th, 40th, ..., 100th)",
                                     -0.1670540846631662)],
                               n = 10}}),
       ("noon",
        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}}),
       ("until <time-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.332204510175204,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time> <part-of-day>", -2.1972245773362196),
                                    ("\1050\1086\1085\1077\1094 \1084\1077\1089\1103\1094\1072",
                                     -2.6026896854443837),
                                    ("<time-of-day>  o'clock", -1.9095425048844386),
                                    ("time-of-day (latent)", -1.9095425048844386),
                                    ("hour", -0.9932517730102834), ("month", -2.6026896854443837),
                                    ("midnight|EOD|end of day", -2.6026896854443837)],
                               n = 10},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\1060\1077\1074\1088\1072\1083\1100",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.1780538303479458,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 22},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("evening",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("decimal number",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -3.6109179126442243,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 35}}),
       ("midnight|EOD|end of 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}}),
       ("last <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("month (grain)", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("next n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.912023005428146,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.793208009442517),
                                    ("integer (numeric)day (grain)", -3.1986731175506815),
                                    ("integer (3..19)day (grain)", -3.1986731175506815),
                                    ("second", -2.793208009442517),
                                    ("integer (3..19)second (grain) ", -3.1986731175506815),
                                    ("integer (numeric)second (grain) ", -3.1986731175506815),
                                    ("integer (numeric)year (grain)", -3.1986731175506815),
                                    ("integer (3..19)year (grain)", -3.1986731175506815),
                                    ("day", -2.793208009442517), ("year", -2.793208009442517),
                                    ("integer (3..19)week (grain)", -3.1986731175506815),
                                    ("integer (numeric)week (grain)", -3.1986731175506815),
                                    ("integer (3..19)minute (grain)", -3.1986731175506815),
                                    ("hour", -2.793208009442517), ("month", -2.793208009442517),
                                    ("integer (numeric)minute (grain)", -3.1986731175506815),
                                    ("integer (3..19)month (grain)", -3.1986731175506815),
                                    ("integer (numeric)month (grain)", -3.1986731175506815),
                                    ("integer (3..19)hour (grain)", -3.1986731175506815),
                                    ("minute", -2.793208009442517),
                                    ("integer (numeric)hour (grain)", -3.1986731175506815)],
                               n = 14},
                   koData =
                     ClassData{prior = -infinity, unseen = -3.0910424533583156,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("in <duration>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.713572066704308,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.5902671654458267), ("second", -2.5902671654458267),
                                    ("day", -2.995732273553991), ("year", -2.995732273553991),
                                    ("<integer> <unit-of-duration>", -1.0498221244986778),
                                    ("a <unit-of-duration>", -2.3025850929940455),
                                    ("hour", -1.8971199848858813), ("minute", -1.8971199848858813)],
                               n = 16},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<datetime> - <datetime> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.45198512374305727,
                               unseen = -3.2188758248682006,
                               likelihoods =
                                 HashMap.fromList
                                   [("minuteminute", -1.791759469228055),
                                    ("hh:mmhh:mm", -1.791759469228055),
                                    ("dayday", -1.5686159179138452),
                                    ("<day-of-month> (non ordinal) <named-month><day-of-month> (non ordinal) <named-month>",
                                     -2.0794415416798357),
                                    ("mm/ddmm/dd", -2.0794415416798357)],
                               n = 7},
                   koData =
                     ClassData{prior = -1.0116009116784799,
                               unseen = -2.9444389791664407,
                               likelihoods =
                                 HashMap.fromList
                                   [("monthday", -1.791759469228055),
                                    ("mm/ddmm/dd/yyyy", -2.1972245773362196),
                                    ("\1048\1102\1083\1100<day-of-month> (non ordinal) <named-month>",
                                     -2.1972245773362196),
                                    ("\1040\1074\1075\1091\1089\1090<day-of-month> (non ordinal) <named-month>",
                                     -2.1972245773362196),
                                    ("dayday", -1.791759469228055),
                                    ("mm/ddintersect", -2.1972245773362196)],
                               n = 4}}),
       ("\1089\1077\1075\1086\1076\1085\1103",
        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}}),
       ("<time-of-day> - <time-of-day> (interval)",
        Classifier{okData =
                     ClassData{prior = -0.15415067982725836,
                               unseen = -2.833213344056216,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.6739764335716716),
                                    ("minuteminute", -1.1631508098056809),
                                    ("hh:mmhh:mm", -1.1631508098056809),
                                    ("minutehour", -1.6739764335716716)],
                               n = 6},
                   koData =
                     ClassData{prior = -1.9459101490553135,
                               unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("hh:mmtime-of-day (latent)", -1.0986122886681098),
                                    ("minutehour", -1.0986122886681098)],
                               n = 1}}),
       ("last n <cycle>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -3.7612001156935624,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -2.639057329615259),
                                    ("integer 2week (grain)", -3.044522437723423),
                                    ("integer (numeric)day (grain)", -3.044522437723423),
                                    ("integer 2minute (grain)", -3.044522437723423),
                                    ("second", -2.639057329615259),
                                    ("integer 2month (grain)", -3.044522437723423),
                                    ("integer (numeric)second (grain) ", -3.044522437723423),
                                    ("integer (numeric)year (grain)", -3.044522437723423),
                                    ("day", -2.639057329615259), ("year", -2.639057329615259),
                                    ("integer 2day (grain)", -3.044522437723423),
                                    ("integer (numeric)week (grain)", -3.044522437723423),
                                    ("month", -2.639057329615259),
                                    ("integer (numeric)minute (grain)", -3.044522437723423),
                                    ("integer 2second (grain) ", -3.044522437723423),
                                    ("integer (numeric)month (grain)", -3.044522437723423),
                                    ("minute", -2.639057329615259),
                                    ("integer 2year (grain)", -3.044522437723423)],
                               n = 12},
                   koData =
                     ClassData{prior = -infinity, unseen = -2.9444389791664407,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<day-of-month> (non ordinal) <named-month>",
        Classifier{okData =
                     ClassData{prior = -9.53101798043249e-2,
                               unseen = -3.871201010907891,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)\1052\1072\1088\1090", -2.463853240590168),
                                    ("integer (numeric)\1048\1102\1083\1100", -2.2407096892759584),
                                    ("integer (numeric)\1057\1077\1085\1090\1103\1073\1088\1100",
                                     -3.1570004211501135),
                                    ("integer (numeric)\1040\1074\1075\1091\1089\1090",
                                     -2.2407096892759584),
                                    ("integer (numeric)\1040\1087\1088\1077\1083\1100",
                                     -3.1570004211501135),
                                    ("integer (numeric)\1060\1077\1074\1088\1072\1083\1100",
                                     -1.7707060600302227),
                                    ("month", -0.8056251639866356)],
                               n = 20},
                   koData =
                     ClassData{prior = -2.3978952727983707,
                               unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)\1048\1102\1083\1100", -1.2992829841302609),
                                    ("month", -1.2992829841302609)],
                               n = 2}}),
       ("this|next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.70805020110221,
                               likelihoods =
                                 HashMap.fromList
                                   [("\1055\1086\1085\1077\1076\1077\1083\1100\1085\1080\1082",
                                     -1.9459101490553135),
                                    ("\1057\1088\1077\1076\1072", -1.252762968495368),
                                    ("day", -0.8472978603872037),
                                    ("\1042\1090\1086\1088\1085\1080\1082", -1.9459101490553135)],
                               n = 5},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("ordinal (digits)",
        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}}),
       ("quarter (grain)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("\1052\1072\1088\1090",
        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}}),
       ("<day-of-month>(ordinal) <named-month> year",
        Classifier{okData =
                     ClassData{prior = -0.2231435513142097, unseen = -3.258096538021482,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinal 21..99\1054\1082\1090\1103\1073\1088\1100",
                                     -2.5257286443082556),
                                    ("ordinal (digits)\1052\1072\1088\1090", -2.5257286443082556),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1052\1072\1088\1090",
                                     -1.8325814637483102),
                                    ("month", -1.0216512475319814),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1040\1087\1088\1077\1083\1100",
                                     -2.5257286443082556),
                                    ("ordinal (digits)\1054\1082\1090\1103\1073\1088\1100",
                                     -2.5257286443082556),
                                    ("ordinal 21..99\1052\1072\1081", -2.5257286443082556)],
                               n = 8},
                   koData =
                     ClassData{prior = -1.6094379124341003, unseen = -2.639057329615259,
                               likelihoods =
                                 HashMap.fromList
                                   [("ordinals (first..20th, then 30th, 40th, ..., 100th)\1052\1072\1081",
                                     -1.8718021769015913),
                                    ("ordinals (first..20th, then 30th, 40th, ..., 100th)\1054\1082\1090\1103\1073\1088\1100",
                                     -1.8718021769015913),
                                    ("month", -1.466337068793427)],
                               n = 2}}),
       ("\1056\1086\1078\1076\1077\1089\1090\1074\1086 \1061\1088\1080\1089\1090\1086\1074\1086",
        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}}),
       ("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}}),
       ("week-end",
        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}}),
       ("after <time-of-day>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.772588722239781,
                               likelihoods =
                                 HashMap.fromList
                                   [("<time-of-day>  o'clock", -1.3217558399823195),
                                    ("time-of-day (latent)", -1.3217558399823195),
                                    ("hour", -0.7621400520468967)],
                               n = 6},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("day (grain)",
        Classifier{okData =
                     ClassData{prior = -0.40546510810816444,
                               unseen = -2.3025850929940455,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
                   koData =
                     ClassData{prior = -1.0986122886681098, unseen = -1.791759469228055,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
       ("\1052\1072\1081",
        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}}),
       ("<month> dd-dd (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("\1048\1102\1083\1100", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this <time>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("hour", -0.6931471805599453),
                                    ("week-end", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("within <duration>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("week", -0.6931471805599453),
                                    ("<integer> <unit-of-duration>", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}})]


-- 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.SK_XX (classifiers) where
import Data.String
import Prelude
import qualified Data.HashMap.Strict as HashMap
import Duckling.Ranking.Types

classifiers :: Classifiers
classifiers = HashMap.fromList []