ID3Learning Methods

Adds the specified variable to the list of Attributes.

Computes the prediction error for the tree over a given set of input and outputs.

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.

Returns an enumerator that iterates through the collection.

Serves as the default hash function.

Gets the Type of the current instance.

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

Creates a shallow copy of the current Object.

Runs the learning algorithm, creating a decision tree modeling the given inputs and outputs.

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.