Module training_options

Options used in model training.

Structs

• TrainingOptions

Enums

• DataFrequency
  The data frequency of a time series.
• DataSplitMethod
  The data split type for training and evaluation, e.g. RANDOM.
• DistanceType
  Distance type for clustering models.
• FeedbackType
  Feedback type that specifies which algorithm to run for matrix factorization.
• HolidayRegion
  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.
• KmeansInitializationMethod
  The method used to initialize the centroids for kmeans algorithm.
• LearnRateStrategy
  The strategy to determine learn rate for the current iteration.
• LossType
  Type of loss function used during training run.
• OptimizationStrategy
  Optimization strategy for training linear regression models.