ModelStorage

Description

PAL model management tool. ModelStorage includes methods for saving and versioning model from trained PAL model on HANA.

Usage

hanaml.ModelStorage(conn.context, schema = NULL, meta.tbl = NULL)

Arguments

Format

R6Class object.

Value

Object of R6Class with methods for ModelStorage

Methods

SaveModel()

Save PAL models.

Usage: model.storage$SaveModel(model = model, name = 'RDT', version = 1) Arguments:

• model: hanaml function object with fitted model.

• name: The model's name.

• version: The model's version.

• force: If TRUE, the existed model will be replaced.

ListModels()

Returns a DataFrame for the meta data of the saved models.

Usage: model.storage$ListModels()

Arguments:

• name: The model's name.

Returns: DataFrame Dataframe for the meta data of the saved models.

DeleteModel()

Delete models defined in the model storage.

Usage: model.storage$DeleteModel('RDT', 1)

Arguments:

• name: The model's name.

• version: The model's version.

LoadModel()

Load model defined in the model storage.

Usage: model.storage$LoadModel('RDT', 1)

Arguments:

• name: The model's name.

• version: The model's version.

Returns: DataFrame Object of R6Class with methods for PAL functions.