/*
* 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.metadata.FunctionFactory;
import com.facebook.presto.metadata.FunctionListBuilder;
import com.facebook.presto.metadata.ParametricFunction;
import com.facebook.presto.spi.type.TypeManager;
import java.util.List;
import static com.facebook.presto.ml.type.ClassifierType.CLASSIFIER;
import static com.facebook.presto.ml.type.RegressorType.REGRESSOR;
import static com.facebook.presto.spi.type.BigintType.BIGINT;
import static com.facebook.presto.spi.type.DoubleType.DOUBLE;
public class MLFunctionFactory
implements FunctionFactory
{
private final TypeManager typeManager;
public MLFunctionFactory(TypeManager typeManager)
{
this.typeManager = typeManager;
}
@Override
public List<ParametricFunction> listFunctions()
{
return new FunctionListBuilder(typeManager)
.aggregate(new LearnAggregation(CLASSIFIER, BIGINT))
.aggregate(new LearnAggregation(CLASSIFIER, DOUBLE))
.aggregate(new LearnAggregation(REGRESSOR, BIGINT))
.aggregate(new LearnAggregation(REGRESSOR, DOUBLE))
.aggregate(new LearnLibSvmAggregation(CLASSIFIER, BIGINT))
.aggregate(new LearnLibSvmAggregation(CLASSIFIER, DOUBLE))
.aggregate(new LearnLibSvmAggregation(REGRESSOR, BIGINT))
.aggregate(new LearnLibSvmAggregation(REGRESSOR, DOUBLE))
.aggregate(EvaluateClassifierPredictionsAggregation.class)
.scalar(MLFunctions.class)
.getFunctions();
}
}