| // 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. |
| = Import Model from XGBoost |
| |
| Using Apache Ignite you can import pre-trained models from XGBoost. The models are translated into Apache Ignite ML models. Apache Ignite ML also provides the ability to import pre-trained XGBoost models for local or distributed inference. |
| |
| The difference between translating the model into an Apache Ignite ML model and performing distributed inference is in the parser implementation. This example shows how you can import a model from XGBoost and translate it to an Apache Ignite ML model for distributed inference: |
| |
| |
| [source, java] |
| ---- |
| File mdlRsrc = IgniteUtils.resolveIgnitePath(TEST_MODEL_RES); |
| |
| ModelReader reader = new FileSystemModelReader(mdlRsrc.getPath()); |
| |
| XGModelParser parser = new XGModelParser(); |
| |
| AsyncModelBuilder mdlBuilder = new IgniteDistributedModelBuilder(ignite, 4, 4); |
| |
| Model<NamedVector, Future<Double>> mdl = mdlBuilder.build(reader, parser); |
| |
| ---- |
| |
