-- 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.PT_XX (classifiers) where import Data.String import Prelude import qualified Data.HashMap.Strict as HashMap import Duckling.Ranking.Types classifiers :: Classifiers classifiers = HashMap.fromList [(" (que vem)", Classifier{okData = ClassData{prior = -0.5596157879354228, unseen = -2.70805020110221, likelihoods = HashMap.fromList [("week", -1.540445040947149), ("semana (grain)", -1.540445040947149), ("mes (grain)", -1.9459101490553135), ("year", -1.9459101490553135), ("ano (grain)", -1.9459101490553135), ("month", -1.9459101490553135)], n = 4}, koData = ClassData{prior = -0.8472978603872037, unseen = -2.5649493574615367, likelihoods = HashMap.fromList [("week", -1.791759469228055), ("semana (grain)", -1.791759469228055), ("mes (grain)", -1.791759469228055), ("year", -1.791759469228055), ("ano (grain)", -1.791759469228055), ("month", -1.791759469228055)], n = 3}}), ("midnight", 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}}), ("S\225bada", 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}}), (" da tarde", Classifier{okData = ClassData{prior = -0.24686007793152578, unseen = -4.0943445622221, likelihoods = HashMap.fromList [(" and half", -2.468099531471619), ("time-of-day (latent)", -2.9789251552376097), (" and ", -2.1316272948504063), ("hour", -2.468099531471619), (" and quinze", -2.468099531471619), ("minute", -0.9864949905474035), ("\224s ", -1.7749523509116738)], n = 25}, koData = ClassData{prior = -1.5198257537444133, unseen = -3.1780538303479458, likelihoods = HashMap.fromList [("year (latent)", -1.3437347467010947), ("time-of-day (latent)", -2.03688192726104), ("year", -1.3437347467010947), ("hour", -2.03688192726104)], n = 7}}), ("de ", Classifier{okData = ClassData{prior = 0.0, unseen = -2.3025850929940455, likelihoods = HashMap.fromList [("integer (numeric)", 0.0)], n = 8}, koData = ClassData{prior = -infinity, unseen = -0.6931471805599453, likelihoods = HashMap.fromList [], n = 0}}), ("