Overview Use Cases Connectors Authentication Getting Started with the Python SDK API API Reference API Classes API Inputs AIAgentBatchPredictionArgs AIAgentTrainingConfig AbacusUsageMetricsDatasetConfig AccuracyBelowThresholdConditionConfig AgentConversationMessage AgentFlowButtonResponseSection AlertActionConfig AlertConditionConfig ApplicationConnectorDatasetConfig AttachmentParsingConfig Base64ImageResponseSection BatchPredictionArgs BiasViolationConditionConfig Blob BlobInput BoxDatasetConfig ChartResponseSection ChatLLMBatchPredictionArgs ChatLLMPredictionArguments ChatLLMTrainingConfig ClusteringTimeseriesTrainingConfig ClusteringTrainingConfig CodeResponseSection CollapseResponseSection ConfluenceDatasetConfig ConstraintConfig ConstraintProjectFeatureGroupConfig CrawlerTransformConfig CumulativeForecastingPredictionArguments CumulativeForecastingTrainingConfig CustomAlgorithmTrainingConfig CustomTrainedModelTrainingConfig DataGenerationConfig DataIntegrityViolationConditionConfig DatabaseConnectorExportConfig DataframeResponseSection DatasetConfig DatasetDocumentProcessingConfig DecisionNode DeployableAlgorithm DocumentClassificationTrainingConfig DocumentProcessingConfig DocumentRetrieverConfig DocumentSummarizationTrainingConfig DocumentVisualizationTrainingConfig EmailActionConfig EventAnomalyTrainingConfig ExtractDocumentDataConfig FeatureDriftConditionConfig FeatureGroupExportConfig FeatureMappingConfig FeatureStorePredictionArguments FieldDescriptor FileConnectorExportConfig ForecastingBatchPredictionArgs ForecastingMonitorConfig ForecastingPredictionArguments ForecastingTrainingConfig FreshserviceDatasetConfig GoogleAnalyticsDatasetConfig GoogleDriveDatasetConfig HistoryLengthDriftConditionConfig HotkeyPrompt ImageUrlResponseSection IncrementalDatabaseConnectorConfig ItemAttributesStdDevThreshold JSONSchema JiraDatasetConfig KafkaDatasetConfig LastNMergeConfig ListResponseSection MarkdownConfig MergeConfig MonitorFilteringConfig MonitorThresholdConfig NSamplingConfig NamedEntityExtractionBatchPredictionArgs NamedEntityExtractionTrainingConfig NaturalLanguageSearchPredictionArguments NaturalLanguageSearchTrainingConfig OneDriveDatasetConfig OperatorConfig OptimizationPredictionArguments OptimizationTrainingConfig OutlookDatasetConfig OutputVariableMapping ParsingConfig PercentSamplingConfig PersonalizationBatchPredictionArgs PersonalizationTrainingConfig PredictionArguments PredictionCountConditionConfig PredictiveModelingBatchPredictionArgs PretrainedModelsBatchPredictionArgs ProjectFeatureGroupConfig ProjectFeatureGroupTypeMappingsConfig PythonFunctionArgument RegressionPredictionArguments RegressionTrainingConfig ResponseSection RestrictFeatureMappings ReviewModeProjectFeatureGroupConfig RuntimeSchemaResponseSection SamplingConfig Segment SentenceBoundaryDetectionBatchPredictionArgs SentenceBoundaryDetectionTrainingConfig SentimentDetectionTrainingConfig SftpDatasetConfig SharepointDatasetConfig StdDevThreshold StreamingConnectorDatasetConfig SystemConnectorTool TargetDriftConditionConfig TeamsScraperDatasetConfig TextResponseSection ThemeAnalysisBatchPredictionArgs ThemeAnalysisTrainingConfig TimeWindowConfig TimeWindowMergeConfig TimeseriesAnomalyPredictionArguments TimeseriesAnomalyTrainingConfig TrainablePlugAndPlayBatchPredictionArgs TrainingConfig TriggerConfig UnionTransformConfig UnpivotConfig VectorStoreConfig WorkflowGraph WorkflowGraphEdge WorkflowGraphNode WorkflowNodeInputMapping WorkflowNodeInputSchema WorkflowNodeOutputMapping WorkflowNodeOutputSchema WorkflowNodeTemplateConfig WorkflowNodeTemplateInput WorkflowNodeTemplateOutput ZendeskDatasetConfig Documentation Chat Bot API Search How to

TrainablePlugAndPlayBatchPredictionArgs

Batch Prediction Config for the TrainablePlugAndPlay problem type

KEY	TYPE	Description
createMonitor	bool	Controls whether to automatically create a monitor to calculate the drift each time the batch prediction is run. Defaults to true if not specified.
forEval	bool	If True, the test fold which was created during training and used for metrics calculation will be used as input data. These predictions are hence, used for model evaluation.