Expand description
Options used in model training.
Structs§
Enums§
- Data
Frequency - The data frequency of a time series.
- Data
Split Method - The data split type for training and evaluation, e.g. RANDOM.
- Distance
Type - Distance type for clustering models.
- Feedback
Type - Feedback type that specifies which algorithm to run for matrix factorization.
- Holiday
Region - The geographical region based on which the holidays are considered in time series modeling. If a valid value is specified, then holiday effects modeling is enabled.
- Kmeans
Initialization Method - The method used to initialize the centroids for kmeans algorithm.
- Learn
Rate Strategy - The strategy to determine learn rate for the current iteration.
- Loss
Type - Type of loss function used during training run.
- Optimization
Strategy - Optimization strategy for training linear regression models.