public class Hyperparameters| Hyperparameters | Initializes a new instance of the Hyperparameters class |
| BatchSize | Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. |
| EpochCount | Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. |
| LearningRate | Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. |
| LearningRateMultiplier | Optional. Immutable. The learning rate multiplier is used to calculate a final learningRate based on the default (recommended) value. Actual learning rate := learningRateMultiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |