R/models.R
h2o.transform-H2OTargetEncoderModel-method.Rd
Applies target encoding to a given dataset
# S4 method for H2OTargetEncoderModel h2o.transform( model, data, blending = NULL, inflection_point = -1, smoothing = -1, noise = NULL, as_training = FALSE, ... )
model | A trained model representing the transformation strategy |
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data | An H2OFrame with data to be transformed |
blending | Use blending during the transformation. Respects model settings when not set. |
inflection_point | Blending parameter. Only effective when blending is enabled. By default, model settings are respected, if not overridden by this setting. |
smoothing | Blending parameter. Only effective when blending is enabled. By default, model settings are respected, if not overridden by this setting. |
noise | An amount of random noise added to the encoding, this helps prevent overfitting. By default, model settings are respected, if not overridden by this setting. |
as_training | Must be set to True when encoding the training frame. Defaults to False. |
... | Mainly used for backwards compatibility, to allow deprecated parameters. |
Returns an H2OFrame object with data transformed.