/*
* 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.Metadata;
import com.facebook.presto.metadata.MetadataManager;
import com.facebook.presto.metadata.Signature;
import com.facebook.presto.ml.type.ClassifierType;
import com.facebook.presto.ml.type.ModelType;
import com.facebook.presto.ml.type.RegressorType;
import com.facebook.presto.spi.Page;
import com.facebook.presto.operator.RowPageBuilder;
import com.facebook.presto.operator.aggregation.Accumulator;
import com.facebook.presto.operator.aggregation.InternalAggregationFunction;
import com.facebook.presto.spi.block.Block;
import com.facebook.presto.spi.type.StandardTypes;
import com.facebook.presto.type.TypeRegistry;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.google.common.base.Optional;
import com.google.common.base.Splitter;
import com.google.common.collect.ImmutableList;
import org.testng.annotations.Test;
import java.util.List;
import static com.facebook.presto.spi.type.BigintType.BIGINT;
import static com.facebook.presto.spi.type.VarcharType.VARCHAR;
import static org.testng.Assert.assertEquals;
public class TestEvaluateClassifierPredictions
{
private final Metadata metadata = new MetadataManager();
@Test
public void testEvaluateClassifierPredictions()
throws Exception
{
TypeRegistry typeRegistry = new TypeRegistry();
typeRegistry.addType(new ClassifierType());
typeRegistry.addType(new RegressorType());
typeRegistry.addType(new ModelType());
metadata.addFunctions(new MLFunctionFactory(typeRegistry).listFunctions());
InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", StandardTypes.VARCHAR, StandardTypes.BIGINT, StandardTypes.BIGINT)).getAggregationFunction();
Accumulator accumulator = aggregation.bind(ImmutableList.of(0, 1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0).createAccumulator();
accumulator.addInput(getPage());
Block block = accumulator.evaluateFinal();
String output = VARCHAR.getSlice(block, 0).toStringUtf8();
List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
assertEquals(parts.size(), 3);
assertEquals(parts.get(0), "Accuracy: 1/2 (50.00%)");
assertEquals(parts.get(1), "Precision: 1/1 (100.00%)");
assertEquals(parts.get(2), "Recall: 1/2 (50.00%)");
}
private static Page getPage()
throws JsonProcessingException
{
return RowPageBuilder.rowPageBuilder(BIGINT, BIGINT)
.row(1, 1)
.row(1, 0)
.build();
}
}