h2o.transform,H2OTargetEncoderModel-method {h2o} | R Documentation |
Applies target encoding to a given dataset
Description
Applies target encoding to a given dataset
Usage
## S4 method for signature '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.