BaseHiddenConditionalRandomFieldLearningT Class

Initializes a new instance of the BaseHiddenConditionalRandomFieldLearningT class

Gets or sets the potential function to be used if this learning algorithm needs to create a new HiddenConditionalRandomFieldT.

Gets or sets the model being trained.

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Creates an instance of the model to be learned. Inheritors of this abstract class must define this method so new models can be created from the training data.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as the default hash function.

Gets the Type of the current instance.

Inheritors should implement the actual learning algorithm in this method.

Learns a model that can map the given inputs to the given outputs.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.