h2o (version 3.44.0.3)

h2o.transform,H2OTargetEncoderModel-method: Applies target encoding to a given dataset

Description

Applies target encoding to a given dataset

Usage

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

Value

Returns an H2OFrame object with data transformed.

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.