Methods for transformation, fit, and prediction. These are mirrors of the corresponding sdf-transform-methods.
is_ml_transformer(x)is_ml_estimator(x)
ml_fit(x, dataset, ...)
# S3 method for default
ml_fit(x, dataset, ...)
ml_transform(x, dataset, ...)
ml_fit_and_transform(x, dataset, ...)
ml_predict(x, dataset, ...)
# S3 method for ml_model_classification
ml_predict(x, dataset, probability_prefix = "probability_", ...)
When x is an estimator, ml_fit() returns a transformer whereas ml_fit_and_transform() returns a transformed dataset. When x is a transformer, ml_transform() and ml_predict() return a transformed dataset. When ml_predict() is called on a ml_model object, additional columns (e.g. probabilities in case of classification models) are appended to the transformed output for the user's convenience.
A ml_estimator, ml_transformer (or a list thereof), or ml_model object.
A tbl_spark.
Optional arguments; currently unused.
String used to prepend the class probability output columns.
These methods are