Overview Use Cases Connectors Authentication Getting Started with the Python SDK API Reference ai_agents ai_chat algorithm annotations application_connectors batch_prediction code_completion custom_loss_function custom_metric database_connectors dataset createDatasetFromApplicationConnector createDatasetFromDatabaseConnector createDatasetFromFileConnector createDatasetFromStreamingConnector createDatasetFromUpload createDatasetVersionFromApplicationConnector createDatasetVersionFromDatabaseConnector createDatasetVersionFromDocumentReprocessing createDatasetVersionFromFileConnector createDatasetVersionFromUpload createRealtimeContentStore deleteDataset deleteDatasetVersion describeDataset describeDatasetVersion getDatasetSchema getDatasetVersionLogs getDatasetVersionMetrics listDatasetVersions listDatasets setDatasetColumnDataType setDatasetDatabaseConnectorConfig setStreamingRetentionPolicy snapshotStreamingData updateDatasetVersionLimit deployment deployment_conversations docstore document_retrievers documentation eda external_app feature_drift feature_group feature_group_row_process feature_group_template file_connectors graph_dashboard holdout_analysis llm_apps model model_monitoring module natural_language_explanation organization pipelines predict prediction_operator project python_function refresh secrets streaming streaming_connectors upload webhooks API Classes API Inputs Documentation Chat Bot API Search Video Tutorials ChatLLM

Method

getDatasetVersionMetrics GET

Copy GET

Get metrics for a specific dataset version.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	datasetVersion	str	A unique string identifier associated with the dataset version.
No	selectedColumns	List[str]	A list of columns to order first.
No	includeCharts	bool	A flag indicating whether charts should be included in the response. Default is false.
No	includeStatistics	bool	A flag indicating whether statistics should be included in the response. Default is true.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY

TYPE

DESCRIPTION

success

Boolean

true if the call succeeded, false if there was an error

result

DataMetrics

KEY	TYPE	Description
metrics	List[dict]	A list of dicts with metrics for each columns
schema	List[dict]	A list of dicts with the schema for each metric
numRows	int	The number of rows
numCols	int	The number of columns
numDuplicateRows	int	The number of duplicate rows

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