THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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In AlgoOperator abstraction, we decouple the train/prediction into two operators, namely Metapath2vecTrainOp MetaPath2VecTrainOp and Metapath2vecPredictOpMetaPath2VecPredictOp.
Below are the code snippets.
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// User code TableSourceOp edges, nodeLabels; // used for training, can be constructed from Table TableSourceOp nodeIds; // used for prediction, can be constructed from Table AlgoOperator modelOp = new MetaPath2vecTrainOpMetaPath2VecTrainOp() .linkFrom(edges, nodeLabels); AlgoOperator result = new MetaPath2vecPredictOpMetaPath2VecPredictOp() .linkFrom(modelOp, nodeIds); // Developer code public class MetaPath2vecTrainOpMetaPath2VecTrainOp extends AlgoOperator<MetaPath2vecTrainOp>AlgoOperator<MetaPath2VecTrainOp> { @Internal @Override public Table[] compute(Table… inputs) { // do the computation logic } } public class MetaPath2VecPredictOp extends AlgoOperator<MetaPath2VecPredictOp> { @Internal @Override public Table[] compute(Table… inputs) { // do the computation logic } } |
Express the algorithms that are used/covered by machine learning libraries but usually not implemented as a transformer/estimator.
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