Examples with MLTask org.opensearch.ml.common.parameter.MLTask used on opensource projects

Example 11 with MLTask

use of org.opensearch.ml.common.parameter.MLTask in project ml-commons by opensearch-project.

the class MLTrainAndPredictTaskRunner method startTrainAndPredictionTask.

/**
 * Start prediction task
 * @param request MLPredictionTaskRequest
 * @param listener Action listener
 */
public void startTrainAndPredictionTask(MLTrainingTaskRequest request, ActionListener<MLTaskResponse> listener) {
    MLInputDataType inputDataType = request.getMlInput().getInputDataset().getInputDataType();
    Instant now = Instant.now();
    MLTask mlTask = MLTask.builder().taskId(UUID.randomUUID().toString()).taskType(MLTaskType.TRAINING_AND_PREDICTION).inputType(inputDataType).functionName(request.getMlInput().getFunctionName()).state(MLTaskState.CREATED).workerNode(clusterService.localNode().getId()).createTime(now).lastUpdateTime(now).async(false).build();
    MLInput mlInput = request.getMlInput();
    if (mlInput.getInputDataset().getInputDataType().equals(MLInputDataType.SEARCH_QUERY)) {
        ActionListener<DataFrame> dataFrameActionListener = ActionListener.wrap(dataFrame -> {
            trainAndPredict(mlTask, dataFrame, request, listener);
        }, e -> {
            log.error("Failed to generate DataFrame from search query", e);
            handlePredictFailure(mlTask, listener, e, false);
        });
        mlInputDatasetHandler.parseSearchQueryInput(mlInput.getInputDataset(), new ThreadedActionListener<>(log, threadPool, TASK_THREAD_POOL, dataFrameActionListener, false));
    } else {
        DataFrame inputDataFrame = mlInputDatasetHandler.parseDataFrameInput(mlInput.getInputDataset());
        threadPool.executor(TASK_THREAD_POOL).execute(() -> {
            trainAndPredict(mlTask, inputDataFrame, request, listener);
        });
    }
}