Overview Use Cases Connectors Authentication Getting Started with the Python SDK API Reference ai_agents ai_chat algorithm annotations application_connectors batch_prediction createBatchPrediction deleteBatchPrediction describeBatchPrediction describeBatchPredictionVersion downloadBatchPredictionResultChunk getBatchPredictionConnectorErrors getBatchPredictionVersionLogs listBatchPredictionVersions listBatchPredictions setBatchPredictionDatabaseConnectorOutput setBatchPredictionDatasetRemap setBatchPredictionFeatureGroup setBatchPredictionFeatureGroupOutput setBatchPredictionFileConnectorOutput setBatchPredictionOutputToConsole startBatchPrediction updateBatchPrediction code_completion custom_loss_function custom_metric database_connectors dataset 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

getBatchPredictionConnectorErrors GET

Copy GET

Returns a stream containing the batch prediction database connection write errors, if any writes failed for the specified batch prediction job.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	batchPredictionVersion	str	Unique string identifier of the batch prediction job to get the errors for.

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
data	stream

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