mirror of
https://github.com/facebook/duckling.git
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265 lines
14 KiB
Haskell
265 lines
14 KiB
Haskell
-- Copyright (c) 2016-present, Facebook, Inc.
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-- All rights reserved.
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--
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-- This source code is licensed under the BSD-style license found in the
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-- LICENSE file in the root directory of this source tree. An additional grant
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-- of patent rights can be found in the PATENTS file in the same directory.
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-----------------------------------------------------------------
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-- Auto-generated by regenClassifiers
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--
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-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
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-- @generated
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-----------------------------------------------------------------
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{-# LANGUAGE OverloadedStrings #-}
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module Duckling.Ranking.Classifiers.RO (classifiers) where
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import Prelude
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import Duckling.Ranking.Types
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import qualified Data.HashMap.Strict as HashMap
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import Data.String
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classifiers :: Classifiers
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classifiers
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= HashMap.fromList
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[("integer (numeric)",
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Classifier{okData =
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ClassData{prior = -0.2876820724517809,
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unseen = -2.0794415416798357,
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likelihoods = HashMap.fromList [("", 0.0)], n = 6},
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koData =
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ClassData{prior = -1.3862943611198906,
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unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
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("absorption of , after named day",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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likelihoods =
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HashMap.fromList
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[("day", -0.6931471805599453),
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("named-day", -0.6931471805599453)],
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n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("acum",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("intersect",
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Classifier{okData =
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ClassData{prior = -0.13353139262452263,
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unseen = -3.1354942159291497,
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likelihoods =
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HashMap.fromList
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[("daymonth", -1.9924301646902063),
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("dayday", -1.2992829841302609),
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("<named-day> <day-of-month> (number)named-month",
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-1.9924301646902063),
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("absorption of , after named day<day-of-month>(number) <named-month>",
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-1.9924301646902063),
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("absorption of , after named day<day-of-month> (non ordinal) <named-month>",
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-1.9924301646902063),
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("named-daythe <day-of-month> (number)", -2.3978952727983707)],
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n = 7},
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koData =
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ClassData{prior = -2.0794415416798357,
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unseen = -2.3978952727983707,
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likelihoods =
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HashMap.fromList
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[("named-month<hour-of-day> <integer> (as relative minutes)",
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-1.6094379124341003),
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("monthminute", -1.6094379124341003)],
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n = 1}}),
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("<named-day> <day-of-month> (number)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.4849066497880004,
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likelihoods =
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HashMap.fromList
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[("named-dayinteger (numeric)", -1.2992829841302609),
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("day", -0.7884573603642702),
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("absorption of , after named dayinteger (numeric)",
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-1.2992829841302609)],
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n = 4},
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koData =
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ClassData{prior = -infinity, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [], n = 0}}),
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("named-month",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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likelihoods = HashMap.fromList [("", 0.0)], n = 5},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("numbers prefix with - or minus",
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Classifier{okData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0},
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koData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
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n = 1}}),
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("craciun",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("the <day-of-month> (number)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
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n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("time-of-day (latent)",
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Classifier{okData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0},
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koData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
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n = 1}}),
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("ieri",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("", 0.0)], n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("intersect by \",\"",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.4849066497880004,
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likelihoods =
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HashMap.fromList
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[("dayday", -0.7884573603642702),
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("named-day<day-of-month>(number) <named-month>",
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-1.2992829841302609),
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("named-day<day-of-month> (non ordinal) <named-month>",
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-1.2992829841302609)],
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n = 4},
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koData =
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ClassData{prior = -infinity, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [], n = 0}}),
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("azi",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods = HashMap.fromList [("", 0.0)], n = 3},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("named-day",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -3.1780538303479458,
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likelihoods = HashMap.fromList [("", 0.0)], n = 22},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<named-day> pe <day-of-month> (number)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("named-dayinteger (numeric)", -0.6931471805599453),
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("day", -0.6931471805599453)],
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n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("integer (0..10)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [("", 0.0)], n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<time> (aceasta|acesta|[a\259]sta)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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likelihoods =
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HashMap.fromList
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[("day", -0.6931471805599453),
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("named-day", -0.6931471805599453)],
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n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<named-month> <day-of-month> (non ordinal)",
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Classifier{okData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0},
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koData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("named-monthinteger (numeric)", -0.6931471805599453),
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("month", -0.6931471805599453)],
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n = 1}}),
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("<day-of-month> (non ordinal) <named-month>",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.4849066497880004,
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likelihoods =
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HashMap.fromList
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[("integer (numeric)named-month", -1.0116009116784799),
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("integer (0..10)named-month", -1.7047480922384253),
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("month", -0.7884573603642702)],
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n = 4},
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koData =
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ClassData{prior = -infinity, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [], n = 0}}),
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("this|next <day-of-week>",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.9459101490553135,
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likelihoods =
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HashMap.fromList
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[("day", -0.6931471805599453),
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("named-day", -0.6931471805599453)],
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n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("maine",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [("", 0.0)], n = 2},
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koData =
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ClassData{prior = -infinity, unseen = -0.6931471805599453,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<month> dd-dd (interval)",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("named-month", -0.6931471805599453),
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("month", -0.6931471805599453)],
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n = 1},
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koData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0}}),
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("<hour-of-day> <integer> (as relative minutes)",
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Classifier{okData =
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ClassData{prior = -infinity, unseen = -1.0986122886681098,
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likelihoods = HashMap.fromList [], n = 0},
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koData =
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ClassData{prior = 0.0, unseen = -1.6094379124341003,
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likelihoods =
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HashMap.fromList
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[("time-of-day (latent)integer (numeric)", -0.6931471805599453),
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("hour", -0.6931471805599453)],
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n = 1}}),
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("<day-of-month>(number) <named-month>",
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Classifier{okData =
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ClassData{prior = 0.0, unseen = -2.4849066497880004,
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likelihoods =
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HashMap.fromList
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[("integer (numeric)named-month", -1.0116009116784799),
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("integer (0..10)named-month", -1.7047480922384253),
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("month", -0.7884573603642702)],
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n = 4},
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koData =
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ClassData{prior = -infinity, unseen = -1.3862943611198906,
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likelihoods = HashMap.fromList [], n = 0}})] |