-- 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.TR_XX (classifiers) where import Data.String import Prelude import qualified Data.HashMap.Strict as HashMap import Duckling.Ranking.Types classifiers :: Classifiers classifiers = HashMap.fromList [("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}}), ("integer (numeric)", Classifier{okData = ClassData{prior = -0.4302451371066514, unseen = -4.553876891600541, likelihoods = HashMap.fromList [("", 0.0)], n = 93}, koData = ClassData{prior = -1.0508216248317612, unseen = -3.951243718581427, likelihoods = HashMap.fromList [("", 0.0)], n = 50}}), ("Sal\305", 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}}), ("Ramazan Bayram\305", Classifier{okData = ClassData{prior = 0.0, unseen = -2.3025850929940455, likelihoods = HashMap.fromList [("", 0.0)], n = 8}, koData = ClassData{prior = -infinity, unseen = -0.6931471805599453, likelihoods = HashMap.fromList [], n = 0}}), ("