GridSearchTModel, TLearner, TInput, TOutput Methods

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.

Inheritors of this class should return the number of possible parameter values for each parameter in the grid-search range. For example, if a problem should search parameters in the range {0, 1, ... 9} (10 values) and {-1, -2, -3 } (3 values), this method should return { 10, 3 }.

Inheritors of this class should specify how to get actual values for the parameters given a index vector in the grid-search space. Those indices indicate which values should be given, e.g. if there are two parameters in the problem, the ranges of the first parameter are {10, 20, 30}, and the ranges of the second parameter are {0.1, 0.01, 0.001 }, if the index vector is { 1, 2 } this method should return { 20, 0.001 }.

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.

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.