Uses of Interface
adams.core.io.ModelFileHandler
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Packages that use ModelFileHandler Package Description adams.flow.condition.bool adams.flow.core adams.flow.source adams.flow.standalone adams.flow.transformer -
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Uses of ModelFileHandler in adams.flow.condition.bool
Classes in adams.flow.condition.bool that implement ModelFileHandler Modifier and Type Class Description class
WekaClassification
Uses the index of the classification, i.e., the predicted label, as index of the switch
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Uses of ModelFileHandler in adams.flow.core
Subinterfaces of ModelFileHandler in adams.flow.core Modifier and Type Interface Description interface
DynamicModelLoaderSupporter
Interface for classes that support model loading.interface
ModelLoaderSupporter
Interface for classes that support model loading.Classes in adams.flow.core that implement ModelFileHandler Modifier and Type Class Description class
AbstractModelLoader<T>
Ancestor for model loaders.class
WekaClassifierModelLoader
Manages classifier models.class
WekaClustererModelLoader
Manages clusterer models.class
WekaFilterModelLoader
Model loader for Weka filters. -
Uses of ModelFileHandler in adams.flow.source
Classes in adams.flow.source that implement ModelFileHandler Modifier and Type Class Description class
WekaForecasting
Uses a serialized model to perform predictions on the data being passed through.
The model can also be obtained from a callable actor, if the model file is pointing to a directory. -
Uses of ModelFileHandler in adams.flow.standalone
Classes in adams.flow.standalone that implement ModelFileHandler Modifier and Type Class Description class
DeserializeToStorage
Deserializes a model from a file with the specified object reader and stores it directly in storage.
It is also possible to define multiple storage name / file name pairs, to make the deserialization of large amounts of files more efficient. -
Uses of ModelFileHandler in adams.flow.transformer
Classes in adams.flow.transformer that implement ModelFileHandler Modifier and Type Class Description class
AbstractProcessWekaInstanceWithModel<T>
Ancestor for transformers that user models for processing Instance objects, e.g., classifiers making predictions.class
WekaClassifying
Uses a serialized model to perform predictions on the data being passed through.
The following order is used to obtain the model (when using AUTO):
1.class
WekaClustering
Uses a serialized model to cluster data being passed through.
The following order is used to obtain the model (when using AUTO):
1.class
WekaFilter
Filters Instances/Instance objects using the specified filter.
When re-using a trained filter, ensure that 'initializeOnce' is checked.
The following order is used to obtain the model (when using AUTO):
1.
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