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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
package org.apache.storm.pmml.runner;
import org.apache.storm.tuple.Tuple;
/**
* Runner for models defined using PMML
*
* @param <I> type of the input source. For Storm it is typically a {@link Tuple}
* @param <R> the type of extracted raw input
* @param <P> the type of preprocessed input
* @param <S> the type of predicted scores
*/
public interface PmmlModelRunner<I, R, P, S> extends ModelRunner {
/**
* Extracts from the tuple the raw inputs that are to be scored according to the predictive model.
*
* @param input source from which to extract raw inputs
* @return raw inputs
*/
R extractRawInputs(I input);
/**
* Pre process inputs, i.e., remove missing fields, outliers, etc
*
* @param rawInputs that are to be preprocessed
* @return preprocessed output
*/
P preProcessInputs(R rawInputs);
/**
* Compute the predicted scores from the pre-processed inputs in the step above
*
* @param preProcInputs that are to be preprocessed
* @return predicted scores
*/
S predictScores(P preProcInputs);
}