model: A trained model representing the transformation strategy
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.