
epic.parser.models.EPParserModelFactory.scala Maven / Gradle / Ivy
The newest version!
package epic.parser.models
/*
Copyright 2012 David Hall
Licensed under the Apache License, Version 2.0 (the "License")
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
import epic.parser._
import java.io.File
import epic.framework._
import breeze.util._
import epic.trees.{Debinarizer, TreeInstance, AnnotatedLabel}
import breeze.config.Help
import epic.constraints.ChartConstraints.Factory
import epic.util.CacheBroker
import epic.lexicon.Lexicon
import breeze.linalg.DenseVector
import epic.constraints.ChartConstraints
case class EPParams(maxIterations: Int = 5, pruningThreshold: Double = -15, dropOutFraction: Double = 0.0)
object EPParserModelFactory {
type CompatibleFactory = ParserModelFactory[AnnotatedLabel, String] {
type MyModel <: EPModel.CompatibleModel[TreeInstance[AnnotatedLabel, String], UnrefinedGrammarAnchoring[AnnotatedLabel, String]]
}
}
case class EPParserModelFactory(ep: EPParams,
@Help(text="ModelFactories to use. use --model.0, --model.1, etc.")
model: Seq[EPParserModelFactory.CompatibleFactory],
@Help(text="Path to old weights used for initialization")
oldWeights: File = null) extends ParserExtractableModelFactory[AnnotatedLabel, String] {
type MyModel = EPParserModel[AnnotatedLabel, String]
override def make(train: IndexedSeq[TreeInstance[AnnotatedLabel, String]], topology: RuleTopology[AnnotatedLabel], lexicon: Lexicon[AnnotatedLabel, String], constrainer: Factory[AnnotatedLabel, String]): MyModel = {
type ModelType = EPModel.CompatibleModel[TreeInstance[AnnotatedLabel, String], UnrefinedGrammarAnchoring[AnnotatedLabel, String]]
val models = model.filterNot(_ eq null) map { model => model.make(train, topology, lexicon, constrainer): ModelType }
val featureCounter = readWeights(oldWeights)
new EPParserModel[AnnotatedLabel, String](topology, lexicon, constrainer, ep.maxIterations, featureCounter.get, false, ep.dropOutFraction)(models:_*)
}
}
@SerialVersionUID(1L)
class EPParserModel[L, W](val topology: RuleTopology[L], val lexicon: Lexicon[L, W],
val constrainer: ChartConstraints.Factory[L, W],
maxEPIter: Int,
initFeatureValue: Feature => Option[Double] = {(_:Feature) => None},
epInGold: Boolean = false, dropOutFraction: Double = 0.0)(models:EPModel.CompatibleModel[TreeInstance[L, W], UnrefinedGrammarAnchoring[L, W]]*) extends EPModel[TreeInstance[L, W], UnrefinedGrammarAnchoring[L, W]](maxEPIter, initFeatureValue, epInGold, dropOutFraction)(models:_*) with ParserExtractable[L, W] with Serializable {
def extractParser(weights: DenseVector[Double])(implicit deb: Debinarizer[L]): Parser[L, W] = {
val inf = inferenceFromWeights(weights).forTesting
Parser(topology, lexicon, constrainer, new EPChartFactory(topology, lexicon, inf), ChartDecoder[L, W]())
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy