/
ClassifierFeatureTransformer.java
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/
ClassifierFeatureTransformer.java
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/*
* 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 com.facebook.presto.ml;
import com.facebook.presto.ml.type.ClassifierType;
import com.facebook.presto.ml.type.ModelType;
import java.util.List;
import static java.util.Objects.requireNonNull;
public class ClassifierFeatureTransformer
implements Classifier<Integer>
{
private final Classifier<Integer> classifier;
private final FeatureTransformation transformation;
public ClassifierFeatureTransformer(Classifier<Integer> classifier, FeatureTransformation transformation)
{
this.classifier = requireNonNull(classifier, "classifier is is null");
this.transformation = requireNonNull(transformation, "transformation is null");
}
@Override
public ModelType getType()
{
return ClassifierType.BIGINT_CLASSIFIER;
}
@Override
public byte[] getSerializedData()
{
return ModelUtils.serializeModels(classifier, transformation);
}
public static ClassifierFeatureTransformer deserialize(byte[] data)
{
List<Model> models = ModelUtils.deserializeModels(data);
return new ClassifierFeatureTransformer((Classifier) models.get(0), (FeatureTransformation) models.get(1));
}
@Override
public Integer classify(FeatureVector features)
{
return classifier.classify(transformation.transform(features));
}
@Override
public void train(Dataset dataset)
{
transformation.train(dataset);
classifier.train(transformation.transform(dataset));
}
}