Constructor.
Name of the model.
Name of the project the model belongs to.
Target column the model predicts.
Training status of the model.
Status of the model being up to date or not.
Model version.
Optional accuracy: numberAccuracy of model predictions between 0 and 1.
Optional tag: stringUser assigned model tag.
Optional active: booleanOptional accuracyAccuracy of model predictions between 0 and 1.
Optional activeWhether the model is active or not.
API client to use for executing model operations.
Name of the model.
Name of the project the model belongs to.
Training status of the model (e.g. training, error, complete).
Optional tagUser assigned model tag.
Target column the model predicts.
Status of the model being up to date or not. Set to 'available' when a new version of MindsDB is available that makes the model obsolete, or when new data is available in the table that was used to train the model.
Model version.
Partially adjusts this model with the given options.
Integration name for the training data (e.g. mindsdb).
Options to use when adjusting the model.
Queries this model for a batch prediction by joining with another data source.
Options to use when querying the model.
Describes the features of this model.
Describes the accuracy of this model.
Optional unique_id: stringOptional unique id to filter the accuracy by.
Queries this model for a single prediction. For batch predictions, use batchQuery.
Options to use when querying the model.
Retrains this model with the given options.
Optional options: TrainingOptionsOptions to use when retraining the model.
Static fromGenerated using TypeDoc
Represents a MindsDB model and all supported operations.