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MLModelConfigOutput ​

Type: Object

ML model configuration for training pipelines

Fields ​

NameTypeArgsDescriptionDeprecated
autoPublishBoolean!Whether new versions are automatically published after training
backendMLBackend!Engine that trains/serves this model
createdAtString!Creation timestamp (ISO8601)
csvFilenameStringOriginal CSV filename (if CSV data source)
csvPreviewRows[[String!]!]First few rows of CSV data for preview (header + up to 10 rows)
csvSizeBytesIntSize of uploaded CSV in bytes
dataQuerySQLStringMicroSQL query for data retrieval
descriptionStringConfig description
emittedSchema[MLEmittedColumn!]The pipeline's emitted columns + types (cached from the last preview of the saved config)
evaluationHistory[MLEvaluationEntry!]Per-round evaluation history
featureImportance[MLFeatureImportance!]Feature importance from trained model
hasTrainingCSVBoolean!Whether a CSV file has been uploaded as training data
idMLModelConfigID!Unique identifier
inferenceSchemaStringJSON Schema describing the model's input features (types, enum values). Generated after training.
isSystemBoolean!Whether this model is system-managed (auto-created and auto-retrained by the platform)
lastTrainedAtStringWhen the model was last trained (ISO8601)
modelTypeMLModelType!Type of ML model
nameString!Config name
publishedVersionIdMLModelConfigVersionIDID of the version currently used for predictions
publishedVersionNumberIntVersion number of the published version (e.g. 1, 2, 3)
specMLModelSpec!Concept-specific configuration (tabular or time-series)
statusMLModelTrainingStatus!Current training status
tenantIdTenantID!Tenant this config belongs to
trainedModelIDStringBlob storage key for the trained model
trainingDurationMsIntDuration of last training run in milliseconds
trainingErrorStringError message if last training failed
trainingMetricsTrainingMetricsMetrics from last training run
updatedAtString!Last update timestamp (ISO8601)

Relationships ​

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