Returns the Engine of this Deployment
Returns the Engine of this Deployment
Gets the tuple of the Engine and the implementation of org.apache.predictionio.core.BaseEvaluator
Gets the tuple of the Engine and the implementation of org.apache.predictionio.core.BaseEvaluator
Sets both an Engine and an implementation of org.apache.predictionio.core.BaseEvaluator for this Evaluation
Sets both an Engine and an implementation of org.apache.predictionio.core.BaseEvaluator for this Evaluation
Evaluation information class
Query class
Predicted result class
Actual result class
Metric result class
A tuple an Engine and an implementation of org.apache.predictionio.core.BaseEvaluator
Returns both the Engine and the implementation of Metric for this Evaluation
Returns both the Engine and the implementation of Metric for this Evaluation
Sets both an Engine and an implementation of Metric for this Evaluation
Sets both an Engine and an implementation of Metric for this Evaluation
Evaluation information class
Query class
Predicted result class
Actual result class
Sets an Engine, an implementation of Metric, and sequence of implementations of Metric for this Evaluation
Sets an Engine, an implementation of Metric, and sequence of implementations of Metric for this Evaluation
Evaluation information class
Query class
Predicted result class
Actual result class
A tuple of Engine, an implementation of Metric and sequence of implementations of Metric
Override this method to programmatically return engine parameters.
Override this method to programmatically return engine parameters.
Returns the list of EngineParams of this EngineParamsGenerator.
Returns the list of EngineParams of this EngineParamsGenerator.
Sets the list of EngineParams of this EngineParamsGenerator.
Sets the list of EngineParams of this EngineParamsGenerator.
Sets the Engine for this Deployment
Sets the Engine for this Deployment
Evaluation information class
Query class
Predicted result class
Actual result class
An implementation of Engine
FakeRun allows user to implement custom function under the exact environment as other PredictionIO workflow.
Useful for developing new features. Only need to extend this trait and implement a function: (SparkContext => Unit). For example, the code below can be run with
pio eval HelloWorld
.