nbeats_params: Tuning Parameters for NBEATS Models

In business-science/modeltime.gluonts: 'GluonTS' Deep Learning

Tuning Parameters for NBEATS Models

Description

Tuning Parameters for NBEATS Models

Usage

num_stacks(range = c(2, 100), trans = NULL)

Arguments

range	A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units.
trans	A trans object from the scales package, such as scales::log10_trans() or scales::reciprocal_trans(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

Details

The main parameters for NBEATS models are:

• num_stacks: The number of stacks the network should contain.

business-science/modeltime.gluonts documentation built on Jan. 20, 2024, 3:59 a.m.