FunctionApproximation.ClassregProblem Class

Namespace: FunctionApproximation

Specifies problem for the transform function

Since R2023a

Description

The FunctionApproximation.ClassregProblem class creates a FunctionApproximation.CompactModelProblem object that specifies a problem for the transform function FunctionApproximation.TransformFunction. The properties of the FunctionApproximation.ClassregProblem class are read-only.

The FunctionApproximation.ClassregProblem class is a handle class.

Creation

Use the FunctionApproximation.TransformFunction class to create a TransformFunction object with the problem specified by FunctionApproximation.ClassregProblem.

Properties

Note

Properties of FunctionApproximation.ClassregProblem are read-only.

FunctionToApproximate — Function to approximate

score transform function

Function to approximate with a lookup table approximation, specified as a score transform function. Use the FunctionApproximation.TransformFunction function to specify the trained classifier model object.

NumberOfInputs — Number of inputs to function approximation

1 | 2 | 3

Number of inputs to function approximation, specified as 1, 2, or 3. This property is inferred from the FunctionToApproximate property.

Data Types: double

InputTypes — Desired data types of inputs to function approximation

numerictype object

Desired data types of inputs to function approximation, specified as a numerictype object. Use the generateLearnerDataTypeFcn function to generate a function that defines the fixed-point data types.

InputLowerBounds — Lower limit of range of inputs to function to approximate

scalar | vector

Lower limit of range of inputs to function to approximate, specified as a scalar or vector. The lower bound of the input is determined by the input values.

Example: InputLowerBounds = min(inputValues)

InputUpperBounds — Upper limit of range of inputs to function to approximate

scalar | vector

Upper limit of range of inputs to function to approximate, specified as a scalar or vector. The upper bound of the input is determined by the input values.

Example: InputUpperBounds = max(inputValues)

OutputType — Desired data type of the function approximation output

numerictype object

Desired data type of the function approximation output, specified as a numerictype object. Use the generateLearnerDataTypeFcn function to generate a function that defines the fixed-point data types.

Options — Additional options and constraints to use in approximation

FunctionApproximation.Options object

Additional options and constraints to use in approximation, specified as a FunctionApproximation.Options object.

Version History

Introduced in R2023a