mml-models-regression-model.7.50.0.Final.source-code.KiePMMLRegressionTableClassificationTemplate.tmpl Maven / Gradle / Ivy

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/*
 * Copyright 2020 Red Hat, Inc. and/or its affiliates.
 *
 * Licensed 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.kie.pmml.models.regression.evaluator;

import java.util.LinkedHashMap;
import java.util.Map;
import java.util.concurrent.atomic.AtomicReference;
import java.util.function.DoubleUnaryOperator;
import java.util.stream.Collectors;
import java.util.stream.IntStream;

import org.kie.pmml.api.enums.OP_TYPE;
import org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD;

import org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable;

public class KiePMMLRegressionTableClassificationTemplate extends KiePMMLRegressionClassificationTable {

    public KiePMMLRegressionTableClassificationTemplate() {
        targetField = "fld4";
        regressionNormalizationMethod = null;
        opType = null;
   }

    @Override
    public Object getTargetCategory() {

    }

    @Override
    public boolean isBinary() {

    }

    @Override
    protected void populateOutputFieldsMapWithResult(final Object result) {

    }

     @Override
     protected void populateOutputFieldsMapWithProbability(final Map.Entry predictedEntry, final LinkedHashMap probabilityMap) {

     }

}