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

OptimizationTrainingConfig

Training config for the OPTIMIZATION problem type

KEY	TYPE	Description
INCLUDE_ALL_PARTITIONS	bool	Include all partitions in the model training. Default is False.
SOLVE_TIME_LIMIT	float	The maximum time in seconds to spend solving the problem. Accepts values between 0 and 86400.
OPTIMALITY_GAP_LIMIT	float	The stopping optimality gap limit. Optimality gap is fractional difference between the best known solution and the best possible solution. Accepts values between 0 and 1.
INCLUDE_SPECIFIC_PARTITIONS	List[str]	Include specific partitions in partitioned model training. Default is empty list.