content: -- 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_XX (classifiers) where
  import Data.String
  import Prelude
  import qualified Data.HashMap.Strict as HashMap
  import Duckling.Ranking.Types
  
  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
                                     [("luni", -0.6931471805599453), ("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 = 0.0, unseen = -3.044522437723423,
                                 likelihoods =
                                   HashMap.fromList
                                     [("daymonth", -1.8971199848858813),
                                      ("martithe <day-of-month> (number)", -2.3025850929940455),
                                      ("dayday", -1.2039728043259361),
                                      ("absorption of , after named day<day-of-month>(number) <named-month>",
                                       -1.8971199848858813),
                                      ("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
                                       -1.8971199848858813),
                                      ("<named-day> <day-of-month> (number)februarie",
                                       -1.8971199848858813)],
                                 n = 7},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.9459101490553135,
                                 likelihoods = HashMap.fromList [], n = 0}}),
         ("<named-day> <day-of-month> (number)",
          Classifier{okData =
                       ClassData{prior = 0.0, unseen = -2.4849066497880004,
                                 likelihoods =
                                   HashMap.fromList
                                     [("day", -0.7884573603642702),
                                      ("martiinteger (numeric)", -1.2992829841302609),
                                      ("absorption of , after named dayinteger (numeric)",
                                       -1.2992829841302609)],
                                 n = 4},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.3862943611198906,
                                 likelihoods = HashMap.fromList [], n = 0}}),
         ("duminica",
          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}}),
         ("marti",
          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}}),
         ("iunie",
          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}}),
         ("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}}),
         ("luni",
          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}}),
         ("februarie",
          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}}),
         ("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}}),
         ("sambata",
          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}}),
         ("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}}),
         ("joi",
          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}}),
         ("vineri",
          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}}),
         ("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
                                     [("luni<day-of-month>(number) <named-month>",
                                       -1.2992829841302609),
                                      ("dayday", -0.7884573603642702),
                                      ("luni<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}}),
         ("the day after tomorrow",
          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}}),
         ("<named-day> pe <day-of-month> (number)",
          Classifier{okData =
                       ClassData{prior = 0.0, unseen = -1.6094379124341003,
                                 likelihoods =
                                   HashMap.fromList
                                     [("day", -0.6931471805599453),
                                      ("martiinteger (numeric)", -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
                                     [("luni", -0.6931471805599453), ("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
                                     [("iunieinteger (numeric)", -0.6931471805599453),
                                      ("month", -0.6931471805599453)],
                                 n = 1}}),
         ("<day-of-month> (non ordinal) <named-month>",
          Classifier{okData =
                       ClassData{prior = 0.0, unseen = -2.5649493574615367,
                                 likelihoods =
                                   HashMap.fromList
                                     [("integer (numeric)martie", -1.791759469228055),
                                      ("integer (numeric)februarie", -1.3862943611198906),
                                      ("integer (0..10)martie", -1.791759469228055),
                                      ("month", -0.8754687373538999)],
                                 n = 4},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.6094379124341003,
                                 likelihoods = HashMap.fromList [], n = 0}}),
         ("this|next <day-of-week>",
          Classifier{okData =
                       ClassData{prior = 0.0, unseen = -1.9459101490553135,
                                 likelihoods =
                                   HashMap.fromList
                                     [("luni", -0.6931471805599453), ("day", -0.6931471805599453)],
                                 n = 2},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.0986122886681098,
                                 likelihoods = HashMap.fromList [], n = 0}}),
         ("martie",
          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}}),
         ("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
                                     [("iunie", -0.6931471805599453), ("month", -0.6931471805599453)],
                                 n = 1},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.0986122886681098,
                                 likelihoods = HashMap.fromList [], n = 0}}),
         ("<day-of-month>(number) <named-month>",
          Classifier{okData =
                       ClassData{prior = 0.0, unseen = -2.5649493574615367,
                                 likelihoods =
                                   HashMap.fromList
                                     [("integer (numeric)martie", -1.791759469228055),
                                      ("integer (numeric)februarie", -1.3862943611198906),
                                      ("integer (0..10)martie", -1.791759469228055),
                                      ("month", -0.8754687373538999)],
                                 n = 4},
                     koData =
                       ClassData{prior = -infinity, unseen = -1.6094379124341003,
                                 likelihoods = HashMap.fromList [], n = 0}})]