aiplatform/src/main/java/aiplatform/CreateTrainingPipelineTabularClassificationSample.java [132:245]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - System.out.format("\tName: %s\n", trainingPipelineResponse.getName()); System.out.format("\tDisplay Name: %s\n", trainingPipelineResponse.getDisplayName()); System.out.format( "\tTraining Task Definition: %s\n", trainingPipelineResponse.getTrainingTaskDefinition()); System.out.format( "\tTraining Task Inputs: %s\n", trainingPipelineResponse.getTrainingTaskInputs()); System.out.format( "\tTraining Task Metadata: %s\n", trainingPipelineResponse.getTrainingTaskMetadata()); System.out.format("\tState: %s\n", trainingPipelineResponse.getState()); System.out.format("\tCreate Time: %s\n", trainingPipelineResponse.getCreateTime()); System.out.format("\tStart Time: %s\n", trainingPipelineResponse.getStartTime()); System.out.format("\tEnd Time: %s\n", trainingPipelineResponse.getEndTime()); System.out.format("\tUpdate Time: %s\n", trainingPipelineResponse.getUpdateTime()); System.out.format("\tLabels: %s\n", trainingPipelineResponse.getLabelsMap()); InputDataConfig inputDataConfigResponse = trainingPipelineResponse.getInputDataConfig(); System.out.println("\tInput Data Config"); System.out.format("\t\tDataset Id: %s\n", inputDataConfigResponse.getDatasetId()); System.out.format( "\t\tAnnotations Filter: %s\n", inputDataConfigResponse.getAnnotationsFilter()); FractionSplit fractionSplitResponse = inputDataConfigResponse.getFractionSplit(); System.out.println("\t\tFraction Split"); System.out.format( "\t\t\tTraining Fraction: %s\n", fractionSplitResponse.getTrainingFraction()); System.out.format( "\t\t\tValidation Fraction: %s\n", fractionSplitResponse.getValidationFraction()); System.out.format("\t\t\tTest Fraction: %s\n", fractionSplitResponse.getTestFraction()); FilterSplit filterSplit = inputDataConfigResponse.getFilterSplit(); System.out.println("\t\tFilter Split"); System.out.format("\t\t\tTraining Fraction: %s\n", filterSplit.getTrainingFilter()); System.out.format("\t\t\tValidation Fraction: %s\n", filterSplit.getValidationFilter()); System.out.format("\t\t\tTest Fraction: %s\n", filterSplit.getTestFilter()); PredefinedSplit predefinedSplit = inputDataConfigResponse.getPredefinedSplit(); System.out.println("\t\tPredefined Split"); System.out.format("\t\t\tKey: %s\n", predefinedSplit.getKey()); TimestampSplit timestampSplit = inputDataConfigResponse.getTimestampSplit(); System.out.println("\t\tTimestamp Split"); System.out.format("\t\t\tTraining Fraction: %s\n", timestampSplit.getTrainingFraction()); System.out.format("\t\t\tValidation Fraction: %s\n", timestampSplit.getValidationFraction()); System.out.format("\t\t\tTest Fraction: %s\n", timestampSplit.getTestFraction()); System.out.format("\t\t\tKey: %s\n", timestampSplit.getKey()); Model modelResponse = trainingPipelineResponse.getModelToUpload(); System.out.println("\tModel To Upload"); System.out.format("\t\tName: %s\n", modelResponse.getName()); System.out.format("\t\tDisplay Name: %s\n", modelResponse.getDisplayName()); System.out.format("\t\tDescription: %s\n", modelResponse.getDescription()); System.out.format("\t\tMetadata Schema Uri: %s\n", modelResponse.getMetadataSchemaUri()); System.out.format("\t\tMeta Data: %s\n", modelResponse.getMetadata()); System.out.format("\t\tTraining Pipeline: %s\n", modelResponse.getTrainingPipeline()); System.out.format("\t\tArtifact Uri: %s\n", modelResponse.getArtifactUri()); System.out.format( "\t\tSupported Deployment Resources Types: %s\n", modelResponse.getSupportedDeploymentResourcesTypesList().toString()); System.out.format( "\t\tSupported Input Storage Formats: %s\n", modelResponse.getSupportedInputStorageFormatsList().toString()); System.out.format( "\t\tSupported Output Storage Formats: %s\n", modelResponse.getSupportedOutputStorageFormatsList().toString()); System.out.format("\t\tCreate Time: %s\n", modelResponse.getCreateTime()); System.out.format("\t\tUpdate Time: %s\n", modelResponse.getUpdateTime()); System.out.format("\t\tLables: %s\n", modelResponse.getLabelsMap()); PredictSchemata predictSchemata = modelResponse.getPredictSchemata(); System.out.println("\tPredict Schemata"); System.out.format("\t\tInstance Schema Uri: %s\n", predictSchemata.getInstanceSchemaUri()); System.out.format( "\t\tParameters Schema Uri: %s\n", predictSchemata.getParametersSchemaUri()); System.out.format( "\t\tPrediction Schema Uri: %s\n", predictSchemata.getPredictionSchemaUri()); for (Model.ExportFormat supportedExportFormat : modelResponse.getSupportedExportFormatsList()) { System.out.println("\tSupported Export Format"); System.out.format("\t\tId: %s\n", supportedExportFormat.getId()); } ModelContainerSpec containerSpec = modelResponse.getContainerSpec(); System.out.println("\tContainer Spec"); System.out.format("\t\tImage Uri: %s\n", containerSpec.getImageUri()); System.out.format("\t\tCommand: %s\n", containerSpec.getCommandList()); System.out.format("\t\tArgs: %s\n", containerSpec.getArgsList()); System.out.format("\t\tPredict Route: %s\n", containerSpec.getPredictRoute()); System.out.format("\t\tHealth Route: %s\n", containerSpec.getHealthRoute()); for (EnvVar envVar : containerSpec.getEnvList()) { System.out.println("\t\tEnv"); System.out.format("\t\t\tName: %s\n", envVar.getName()); System.out.format("\t\t\tValue: %s\n", envVar.getValue()); } for (Port port : containerSpec.getPortsList()) { System.out.println("\t\tPort"); System.out.format("\t\t\tContainer Port: %s\n", port.getContainerPort()); } for (DeployedModelRef deployedModelRef : modelResponse.getDeployedModelsList()) { System.out.println("\tDeployed Model"); System.out.format("\t\tEndpoint: %s\n", deployedModelRef.getEndpoint()); System.out.format("\t\tDeployed Model Id: %s\n", deployedModelRef.getDeployedModelId()); } Status status = trainingPipelineResponse.getError(); System.out.println("\tError"); System.out.format("\t\tCode: %s\n", status.getCode()); System.out.format("\t\tMessage: %s\n", status.getMessage()); - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - aiplatform/src/main/java/aiplatform/CreateTrainingPipelineTabularRegressionSample.java [204:317]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - System.out.format("\tName: %s\n", trainingPipelineResponse.getName()); System.out.format("\tDisplay Name: %s\n", trainingPipelineResponse.getDisplayName()); System.out.format( "\tTraining Task Definition: %s\n", trainingPipelineResponse.getTrainingTaskDefinition()); System.out.format( "\tTraining Task Inputs: %s\n", trainingPipelineResponse.getTrainingTaskInputs()); System.out.format( "\tTraining Task Metadata: %s\n", trainingPipelineResponse.getTrainingTaskMetadata()); System.out.format("\tState: %s\n", trainingPipelineResponse.getState()); System.out.format("\tCreate Time: %s\n", trainingPipelineResponse.getCreateTime()); System.out.format("\tStart Time: %s\n", trainingPipelineResponse.getStartTime()); System.out.format("\tEnd Time: %s\n", trainingPipelineResponse.getEndTime()); System.out.format("\tUpdate Time: %s\n", trainingPipelineResponse.getUpdateTime()); System.out.format("\tLabels: %s\n", trainingPipelineResponse.getLabelsMap()); InputDataConfig inputDataConfigResponse = trainingPipelineResponse.getInputDataConfig(); System.out.println("\tInput Data Config"); System.out.format("\t\tDataset Id: %s\n", inputDataConfigResponse.getDatasetId()); System.out.format( "\t\tAnnotations Filter: %s\n", inputDataConfigResponse.getAnnotationsFilter()); FractionSplit fractionSplitResponse = inputDataConfigResponse.getFractionSplit(); System.out.println("\t\tFraction Split"); System.out.format( "\t\t\tTraining Fraction: %s\n", fractionSplitResponse.getTrainingFraction()); System.out.format( "\t\t\tValidation Fraction: %s\n", fractionSplitResponse.getValidationFraction()); System.out.format("\t\t\tTest Fraction: %s\n", fractionSplitResponse.getTestFraction()); FilterSplit filterSplit = inputDataConfigResponse.getFilterSplit(); System.out.println("\t\tFilter Split"); System.out.format("\t\t\tTraining Fraction: %s\n", filterSplit.getTrainingFilter()); System.out.format("\t\t\tValidation Fraction: %s\n", filterSplit.getValidationFilter()); System.out.format("\t\t\tTest Fraction: %s\n", filterSplit.getTestFilter()); PredefinedSplit predefinedSplit = inputDataConfigResponse.getPredefinedSplit(); System.out.println("\t\tPredefined Split"); System.out.format("\t\t\tKey: %s\n", predefinedSplit.getKey()); TimestampSplit timestampSplit = inputDataConfigResponse.getTimestampSplit(); System.out.println("\t\tTimestamp Split"); System.out.format("\t\t\tTraining Fraction: %s\n", timestampSplit.getTrainingFraction()); System.out.format("\t\t\tValidation Fraction: %s\n", timestampSplit.getValidationFraction()); System.out.format("\t\t\tTest Fraction: %s\n", timestampSplit.getTestFraction()); System.out.format("\t\t\tKey: %s\n", timestampSplit.getKey()); Model modelResponse = trainingPipelineResponse.getModelToUpload(); System.out.println("\tModel To Upload"); System.out.format("\t\tName: %s\n", modelResponse.getName()); System.out.format("\t\tDisplay Name: %s\n", modelResponse.getDisplayName()); System.out.format("\t\tDescription: %s\n", modelResponse.getDescription()); System.out.format("\t\tMetadata Schema Uri: %s\n", modelResponse.getMetadataSchemaUri()); System.out.format("\t\tMeta Data: %s\n", modelResponse.getMetadata()); System.out.format("\t\tTraining Pipeline: %s\n", modelResponse.getTrainingPipeline()); System.out.format("\t\tArtifact Uri: %s\n", modelResponse.getArtifactUri()); System.out.format( "\t\tSupported Deployment Resources Types: %s\n", modelResponse.getSupportedDeploymentResourcesTypesList().toString()); System.out.format( "\t\tSupported Input Storage Formats: %s\n", modelResponse.getSupportedInputStorageFormatsList().toString()); System.out.format( "\t\tSupported Output Storage Formats: %s\n", modelResponse.getSupportedOutputStorageFormatsList().toString()); System.out.format("\t\tCreate Time: %s\n", modelResponse.getCreateTime()); System.out.format("\t\tUpdate Time: %s\n", modelResponse.getUpdateTime()); System.out.format("\t\tLables: %s\n", modelResponse.getLabelsMap()); PredictSchemata predictSchemata = modelResponse.getPredictSchemata(); System.out.println("\tPredict Schemata"); System.out.format("\t\tInstance Schema Uri: %s\n", predictSchemata.getInstanceSchemaUri()); System.out.format( "\t\tParameters Schema Uri: %s\n", predictSchemata.getParametersSchemaUri()); System.out.format( "\t\tPrediction Schema Uri: %s\n", predictSchemata.getPredictionSchemaUri()); for (Model.ExportFormat supportedExportFormat : modelResponse.getSupportedExportFormatsList()) { System.out.println("\tSupported Export Format"); System.out.format("\t\tId: %s\n", supportedExportFormat.getId()); } ModelContainerSpec containerSpec = modelResponse.getContainerSpec(); System.out.println("\tContainer Spec"); System.out.format("\t\tImage Uri: %s\n", containerSpec.getImageUri()); System.out.format("\t\tCommand: %s\n", containerSpec.getCommandList()); System.out.format("\t\tArgs: %s\n", containerSpec.getArgsList()); System.out.format("\t\tPredict Route: %s\n", containerSpec.getPredictRoute()); System.out.format("\t\tHealth Route: %s\n", containerSpec.getHealthRoute()); for (EnvVar envVar : containerSpec.getEnvList()) { System.out.println("\t\tEnv"); System.out.format("\t\t\tName: %s\n", envVar.getName()); System.out.format("\t\t\tValue: %s\n", envVar.getValue()); } for (Port port : containerSpec.getPortsList()) { System.out.println("\t\tPort"); System.out.format("\t\t\tContainer Port: %s\n", port.getContainerPort()); } for (DeployedModelRef deployedModelRef : modelResponse.getDeployedModelsList()) { System.out.println("\tDeployed Model"); System.out.format("\t\tEndpoint: %s\n", deployedModelRef.getEndpoint()); System.out.format("\t\tDeployed Model Id: %s\n", deployedModelRef.getDeployedModelId()); } Status status = trainingPipelineResponse.getError(); System.out.println("\tError"); System.out.format("\t\tCode: %s\n", status.getCode()); System.out.format("\t\tMessage: %s\n", status.getMessage()); - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -