opennlp.tools.ml.model (Apache OpenNLP :: Core :: ML :: Commons 3.0.0-M4 API)
Description: declaration: package: opennlp.tools.ml.model

# Package opennlp.tools.ml.model

package opennlp.tools.ml.model

- Related Packages
  Package
  Description
  opennlp.tools.ml
- Classes
  Class
  Description
  AbstractDataIndexer<P extends opennlp.tools.util.Parameters>
  Abstract `DataIndexer` implementation for collecting event and context counts used in training.
  AbstractModel
  A basic `MaxentModel` implementation.
  AbstractModelReader
  An abstract, basic implementation of a model reader.
  AbstractModelWriter
  An abstract, basic implementation of a model writer.
  BinaryFileDataReader
  A `DataReader` that reads files from a binary format.
  ChecksumEventStream
  A `Checksum`-based `event stream` implementation.
  ComparableEvent
  A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
  ComparablePredicate
  A maxent predicate representation which we can use to sort based on the outcomes.
  DataIndexerFactory
  A factory that produces `DataIndexer` instances.
  DynamicEvalParameters
  EvalParameters
  This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.
  FileEventStream
  Class for using a file of `events` as an `event stream`.
  GenericModelReader
  An generic `AbstractModelReader` implementation.
  GenericModelWriter
  An generic `AbstractModelWriter` implementation.
  ModelParameterChunker
  A helper class that handles Strings with more than 64k (65535 bytes) in length.
  MutableContext
  An extension of `Context` used to store parameters or expected values associated with this context which can be updated or assigned.
  ObjectDataReader
  A `DataReader` implementation based on `ObjectInputStream`.
  OnePassDataIndexer
  A `DataIndexer` for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
  OnePassRealValueDataIndexer
  A `DataIndexer` for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
  PlainTextFileDataReader
  A generic `DataReader` implementation for plain text files.
  RealValueFileEventStream
  Class for using a file of real-valued `events` as an `event stream`.
  SequenceStreamEventStream
  Class which turns a `SequenceStream` into an event stream.
  SimpleEventStreamBuilder
  TwoPassDataIndexer
  Collecting event and context counts by making two passes over the events.
  UniformPrior
  Provide a maximum entropy model with a uniform `Prior`.