Property Validation Functions
MATLAB Validation Functions
MATLAB® defines functions for use in property validation. These functions support common use patterns for validation and provide descriptive error messages. The following tables categorize the MATLAB validation functions and describe their use.
Numeric Value Attributes
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Comparison with Other Values
Name | Meaning | Functions Called on Inputs |
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Data Types
Name | Meaning | Functions Called on Inputs |
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| Uses class definition relationships |
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Size
Name | Meaning | Functions Called on Inputs |
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| value must be a scalar or be
empty. | |
| value must be a vector. | |
| value must be a 1-by-N row
vector. | |
| value must be an M-by-1 column
vector. | |
| value must be an M-by-N
matrix. |
Membership and Range
Name | Meaning | Functions Called on Inputs |
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| value must be within range. |
Text
Name | Meaning | Functions Called on Inputs |
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| path must refer to a folder. | |
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| Not applicable |
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| Not applicable |
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| Not applicable |
| varname must be a valid variable
name. |
Validate Property Using Functions
Use property validation functions in class definitions to impose specific restrictions on property values. A validation function accepts a potential property value as an argument and issues an error if the value does not meet the specific requirement imposed by the function.
During the validation process, MATLAB passes the value to each validation function listed in the class definition. MATLAB calls each function from left to right and throws the first error encountered. The value passed to the validation functions is the result of any conversion applied by the class and size specifications. For more information on class and size validation, see Property Class and Size Validation.
For a list of MATLAB validation functions, see MATLAB Validation Functions.
Validation Function Syntax
Specify validation functions as a comma-separated list of function names or function calls with arguments, enclosed in braces.
classdef MyClass properties Prop {fcn1,fcn2} = defaultValue end end
MATLAB passes the potential property value to the validation function implicitly. However, if the validation function requires input arguments in addition to the potential property value, then you must include both the property and the additional arguments. Additional arguments must be literal values and cannot reference variables. Literal values are nonsymbolic representations, such as numbers and text.
For example, consider the function mustBeGreaterThan
. It requires a limiting value as an input parameter.
This validation function requires that a property value must be greater than this
limiting value.
Pass the property as the first argument. Use the property name, but do not enclose
the name in quotation marks. This property definition restricts
Prop
to values greater than 10
.
properties Prop {mustBeGreaterThan(Prop,10)} end
Using Validation Functions
The following class specifies validation functions for each property.
Data
must be numeric and finite.Interp
must be one of the three options listed. Specify a default value for this property to satisfy this requirement.
classdef ValidatorFunction properties Data {mustBeNumeric, mustBeFinite} Interp {mustBeMember(Interp,{'linear','cubic','spline'})} = 'linear' end end
Creating a default object of the class shows the initial values.
a = ValidatorFunction
a = ValidatorFunction with properties: Data: [] Interp: 'linear'
Assigning values to properties calls the validation functions.
a.Data = 'cubic'
Error setting property 'Data' of class 'ValidatorFunction': Value must be numeric.
Because the Data
property validation does not include a numeric
class, there is no conversion of the char
vector to a numeric
value. If you change the validation of the Data
property to
specify the class as double
, MATLAB converts the char
vector to a
double
array.
properties Data double {mustBeNumeric, mustBeFinite} end
The assignment to the char
vector does not produce an error
because MATLAB converts the char
vector to class
double
.
a.Data = 'cubic'
a = ValidatorFunction with properties: Data: [99 117 98 105 99] Interp: 'linear'
Assignment to the Interp
property requires an exact
match.
a = ValidatorFunction;
a.Interp = 'cu'
Error setting property 'Interp' of class 'ValidatorFunction': Value must be a member of this set linear cubic spline
Using an enumeration class provides inexact matching and case insensitivity.
Enumeration Class for Inexact Matching
Property validation using an enumeration class provides these advantages:
Inexact, case-insensitive matching for unambiguous char vectors or string scalars
Conversion of inexact matches to correct values
For example, suppose that you define the InterpMethod
enumeration class for the Interp
property validation.
classdef InterpMethod enumeration linear cubic spline end end
Change the Interp
property validation to use the
InterpMethod
class.
classdef ValidatorFunction properties Data {mustBeNumeric, mustBeFinite} Interp InterpMethod end end
Assign a value matching the first few letters of
'cubic'
.
a = ValidatorFunction;
a.Interp = 'cu'
a = ValidatorFunction with properties: Data: [] Interp: cubic
Define Validation Functions
Validation functions are ordinary MATLAB functions that are designed for the specific purpose of validating property and function argument values. Functions used to validate properties:
Accept the potential property value as an input argument
Do not return values
Display error messages if the validation fails
Creating your own validation function is useful when you want to provide specific validation that is not available using the MATLAB validation functions. You can create local functions within the class file or place the function on the MATLAB path to be available for use in any class.
For example, the ImgData
class uses a local function to define a
validator that restricts the Data
property to only uint8
or uint16
values, excluding subclasses and
not allowing conversion from other numeric classes. The predefined validation function
mustBeInRange
restricts the range of allowed values.
classdef ImgData properties Data {mustBeImData(Data),mustBeInRange(Data,0,255)} = uint8(0) end end function mustBeImData(a) if ~(isa(a,'uint8') || isa(a,'uint16')) error("Value of Data property must be uint8 or uint16 data.") end end
When you create an instance of the ImgData
class, MATLAB validates that the default value is a uint8
or
uint16
value, in the range 0...255
, and not empty.
Note that the default value must satisfy the validation requirements like any other
value assigned to the property.
a = ImgData
a = ImgData with properties: Data: 0
Property assignment invokes the validators in left-to-right order. Assigning a
char
vector to the Data
property causes an
error thrown by mustBeImData
.
a.Data = 'red';
Error setting property 'Data' of class 'ImgData'. Value of Data property must be uint8 or uint16 data.
Assigning a numeric value that is out of range causes an error thrown by
mustBeInRange
.
a.Data = uint16(312);
Error setting property 'Data' of class 'ImgData'. Value must be greater than or equal to 0, and less than or equal to 255.
For related functions, see mustBeInteger
, mustBeNumeric
, and mustBePositive
.