Contains classes for computing the Mean squared error objective function.
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| struct | Parameter |
| | Parameter for Mean squared error objective function More...
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| class | Input |
| | Input objects for the Mean squared error objective function More...
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Available identifiers of input objects of the Mean squared error objective function
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| argument |
Numeric table of size 1 x p with input argument of the objective function
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| data |
Numeric table of size n x p with data
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| dependentVariables |
Numeric table of size n x 1 with dependent variables
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Available methods for computing results of Mean squared error objective function
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| defaultDense |
Default: performance-oriented method.
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Available identifiers of optional input for the iterative solver
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| weights |
NumericTable of size 1 x n with samples weights. Applied for all method
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| gramMatrix |
NumericTable of size p x p with last iteration number. Applied for all method
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Available identifiers of optional input for the iterative solver
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| optionalArgument |
Algorithm-specific input data, can be generated by previous runs of the algorithm
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