| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You 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.apache.ignite.ml.mleap; |
| |
| import java.util.ArrayList; |
| import java.util.List; |
| import java.util.Map; |
| import java.util.stream.Collectors; |
| import java.util.stream.IntStream; |
| import ml.combust.mleap.core.types.ScalarType; |
| import ml.combust.mleap.core.types.StructField; |
| import ml.combust.mleap.core.types.StructType; |
| import ml.combust.mleap.runtime.frame.DefaultLeapFrame; |
| import ml.combust.mleap.runtime.frame.Row; |
| import ml.combust.mleap.runtime.frame.Transformer; |
| import ml.combust.mleap.runtime.javadsl.LeapFrameBuilder; |
| import org.apache.ignite.ml.inference.Model; |
| import org.apache.ignite.ml.math.primitives.vector.NamedVector; |
| import org.apache.ignite.ml.math.primitives.vector.VectorUtils; |
| import scala.collection.immutable.Set; |
| import scala.collection.immutable.Stream; |
| import scala.util.Try; |
| |
| /** |
| * MLeap model imported and wrapped to be compatible with Apache Ignite infrastructure. |
| */ |
| public class MLeapModel implements Model<NamedVector, Double> { |
| /** MLeap model (transformer in terms of MLeap). */ |
| private final Transformer transformer; |
| |
| /** List of field names. */ |
| private final List<String> schema; |
| |
| /** Output field name. */ |
| private final String outputFieldName; |
| |
| /** |
| * Constructs a new instance of MLeap model. |
| * |
| * @param transformer MLpeap model (transformer in terms of MLeap). |
| * @param schema List of field names. |
| * @param outputFieldName Output field name. |
| */ |
| public MLeapModel(Transformer transformer, List<String> schema, String outputFieldName) { |
| this.transformer = transformer; |
| this.schema = new ArrayList<>(schema); |
| this.outputFieldName = outputFieldName; |
| } |
| |
| /** {@inheritDoc} */ |
| @Override public Double predict(NamedVector input) { |
| LeapFrameBuilder builder = new LeapFrameBuilder(); |
| List<StructField> structFields = new ArrayList<>(); |
| |
| List<Object> values = new ArrayList<>(); |
| for (String fieldName : input.getKeys()) { |
| structFields.add(new StructField(fieldName, ScalarType.Double())); |
| values.add(input.get(fieldName)); |
| } |
| |
| StructType schema = builder.createSchema(structFields); |
| |
| List<Row> rows = new ArrayList<>(); |
| rows.add(builder.createRowFromIterable(values)); |
| |
| DefaultLeapFrame inputFrame = builder.createFrame(schema, rows); |
| |
| return predict(inputFrame); |
| } |
| |
| /** |
| * Makes a prediction using default column order specified in {@link #schema}. |
| * |
| * @param input Input arguments. |
| * @return Prediction result. |
| */ |
| public double predict(Double[] input) { |
| if (input.length != schema.size()) |
| throw new IllegalArgumentException("Input size is not equal to schema size"); |
| |
| Map<String, Double> vec = IntStream.range(0, input.length) |
| .boxed() |
| .collect(Collectors.toMap(schema::get, i -> input[i])); |
| |
| return predict(VectorUtils.of(vec)); |
| } |
| |
| /** |
| * Makes a prediction using MLeap API. |
| * |
| * @param inputFrame Input MLeap frame. |
| * @return Prediction result. |
| */ |
| public double predict(DefaultLeapFrame inputFrame) { |
| DefaultLeapFrame outputFrame = transformer.transform(inputFrame).get(); |
| |
| Try<DefaultLeapFrame> resFrame = outputFrame.select(new Set.Set1<>(outputFieldName).toSeq()); |
| DefaultLeapFrame frame = resFrame.get(); |
| |
| Stream<?> stream = (Stream<?>)frame.productElement(1); |
| Row row = (Row)stream.head(); |
| |
| return (Double)row.get(0); |
| } |
| |
| /** {@inheritDoc} */ |
| @Override public void close() { |
| transformer.close(); |
| } |
| } |