Empty actual result.
Empty algorithm parameters.
Empty data parameters.
Empty data source parameters.
Empty evaluation info.
Empty metrics parameters.
Empty model.
Empty parameters.
Empty preparator parameters.
Empty prepared data.
Empty serving parameters.
Empty training data.
If you intend to let PredictionIO create workflow and deploy serving automatically, you will need to implement an object that extends this trait and return an Engine.
This class chains up the entire data process.
This class serves as a logical grouping of all required engine's parameters.
Base class of metrics.
Parameters base class in Java.
JavaSimpleEngine has only one algorithm, and uses default preparator and serving layer.
Base class of a local algorithm.
Base class of a local data source.
A concrete implementation of LJavaServing
returning the first
algorithm's prediction result directly without any modification.
A helper concrete implementation of LJavaPreparator
that pass
training data through without any special preparation.
Base class of a local preparator.
Base class of local serving.
Base class of a parallel algorithm.
Base class of a parallel data source.
This class chains up the entire data process.
A helper concrete implementation of PJavaPreparator
that pass
training data through without any special preparation.
Base class of a parallel preparator.
Internal Java utilities.
Collection of workflow creation methods.
A concrete implementation of LJavaServing
returning the first
algorithm's prediction result directly without any modification.
A helper concrete implementation of LJavaPreparator
that pass
training data through without any special preparation.
A helper concrete implementation of PJavaPreparator
that pass
training data through without any special preparation.
This package provides the Java backend for the Java API. If you are writing in Java, please refer to the Javadoc of the io.prediction.controller.java package instead.