Applies target encoding to a given dataset

Usage

# S4 method for class 'H2OTargetEncoderModel'
h2o.transform(
  model,
  data,
  blending = NULL,
  inflection_point = -1,
  smoothing = -1,
  noise = NULL,
  as_training = FALSE,
  ...
)

Arguments

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.

Value

Returns an H2OFrame object with data transformed.