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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 io.trino.plugin.ml;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import io.trino.plugin.ml.type.ClassifierParametricType;
import io.trino.spi.Plugin;
import io.trino.spi.type.ParametricType;
import io.trino.spi.type.Type;

import java.util.Set;

import static io.trino.plugin.ml.MLFeaturesFunctions.ML_FEATURE_FUNCTIONS;
import static io.trino.plugin.ml.type.ModelType.MODEL;
import static io.trino.plugin.ml.type.RegressorType.REGRESSOR;

public class MLPlugin
        implements Plugin
{
    @Override
    public Iterable getTypes()
    {
        return ImmutableList.of(MODEL, REGRESSOR);
    }

    @Override
    public Iterable getParametricTypes()
    {
        return ImmutableList.of(new ClassifierParametricType());
    }

    @Override
    public Set> getFunctions()
    {
        return ImmutableSet.>builder()
                .add(LearnClassifierAggregation.class)
                .add(LearnVarcharClassifierAggregation.class)
                .add(LearnRegressorAggregation.class)
                .add(LearnLibSvmClassifierAggregation.class)
                .add(LearnLibSvmVarcharClassifierAggregation.class)
                .add(LearnLibSvmRegressorAggregation.class)
                .add(EvaluateClassifierPredictionsAggregation.class)
                .add(MLFunctions.class)
                .addAll(ML_FEATURE_FUNCTIONS)
                .build();
    }
}




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