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

classifiers :: Classifiers
classifiers
  = HashMap.fromList
      [("integer (numeric)",
        Classifier{okData =
                     ClassData{prior = -0.2876820724517809,
                               unseen = -2.0794415416798357,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
                   koData =
                     ClassData{prior = -1.3862943611198906,
                               unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
       ("absorption of , after named day",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453),
                                    ("named-day", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("acum",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("intersect",
        Classifier{okData =
                     ClassData{prior = -0.13353139262452263,
                               unseen = -3.1354942159291497,
                               likelihoods =
                                 HashMap.fromList
                                   [("daymonth", -1.9924301646902063),
                                    ("dayday", -1.2992829841302609),
                                    ("<named-day> <day-of-month> (number)named-month",
                                     -1.9924301646902063),
                                    ("absorption of , after named day<day-of-month>(number) <named-month>",
                                     -1.9924301646902063),
                                    ("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
                                     -1.9924301646902063),
                                    ("named-daythe <day-of-month> (number)", -2.3978952727983707)],
                               n = 7},
                   koData =
                     ClassData{prior = -2.0794415416798357,
                               unseen = -2.3978952727983707,
                               likelihoods =
                                 HashMap.fromList
                                   [("named-month<hour-of-day> <integer> (as relative minutes)",
                                     -1.6094379124341003),
                                    ("monthminute", -1.6094379124341003)],
                               n = 1}}),
       ("<named-day> <day-of-month> (number)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("named-dayinteger (numeric)", -1.2992829841302609),
                                    ("day", -0.7884573603642702),
                                    ("absorption of , after named dayinteger (numeric)",
                                     -1.2992829841302609)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("named-month",
        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}}),
       ("numbers prefix with - or minus",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 1}}),
       ("craciun",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("the <day-of-month> (number)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("time-of-day (latent)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
                               n = 1}}),
       ("ieri",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("intersect by \",\"",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("dayday", -0.7884573603642702),
                                    ("named-day<day-of-month>(number) <named-month>",
                                     -1.2992829841302609),
                                    ("named-day<day-of-month> (non ordinal) <named-month>",
                                     -1.2992829841302609)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("azi",
        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}}),
       ("named-day",
        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}}),
       ("<named-day> pe <day-of-month> (number)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("named-dayinteger (numeric)", -0.6931471805599453),
                                    ("day", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("integer (0..10)",
        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}}),
       ("<time> (aceasta|acesta|[a\259]sta)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453),
                                    ("named-day", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<named-month> <day-of-month> (non ordinal)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("named-monthinteger (numeric)", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 1}}),
       ("<day-of-month> (non ordinal) <named-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)named-month", -1.0116009116784799),
                                    ("integer (0..10)named-month", -1.7047480922384253),
                                    ("month", -0.7884573603642702)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("this|next <day-of-week>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
                               likelihoods =
                                 HashMap.fromList
                                   [("day", -0.6931471805599453),
                                    ("named-day", -0.6931471805599453)],
                               n = 2},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("maine",
        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}}),
       ("<month> dd-dd (interval)",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("named-month", -0.6931471805599453),
                                    ("month", -0.6931471805599453)],
                               n = 1},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0}}),
       ("<hour-of-day> <integer> (as relative minutes)",
        Classifier{okData =
                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
                               likelihoods = HashMap.fromList [], n = 0},
                   koData =
                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
                               likelihoods =
                                 HashMap.fromList
                                   [("time-of-day (latent)integer (numeric)", -0.6931471805599453),
                                    ("hour", -0.6931471805599453)],
                               n = 1}}),
       ("<day-of-month>(number) <named-month>",
        Classifier{okData =
                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
                               likelihoods =
                                 HashMap.fromList
                                   [("integer (numeric)named-month", -1.0116009116784799),
                                    ("integer (0..10)named-month", -1.7047480922384253),
                                    ("month", -0.7884573603642702)],
                               n = 4},
                   koData =
                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
                               likelihoods = HashMap.fromList [], n = 0}})]