LTPDA Toolbox™ | contents | ![]() ![]() |
EVALUATEMODEL evaluate a curvefit model. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DESCRIPTION: EVALUATEMODEL evaluate a curvefit model. CALL: b = evaluateModel(a, pl) INPUTS: a - input AO(s) containing parameter values. The parameter values are collected from the Y data of all input cdata AOs. The most common approach would be one AO per parameter, or a single AO with all parameters in. pl - parameter list (see below) OUTPUTs: b - an AO containing the model evaluated at the give X values, with the given parameter values. Parameters Description %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Method Details | |
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Access | public |
Defining Class | ao |
Sealed | 0 |
Static | 0 |
Sets for this method … |
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Default |
Default |
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no description | |||
Key | Default Value | Options | Description |
evaluateModel | |||
FUNCTION | '' | none | The function to evaluate. The function should be parameterized by the vector of parameters P, the cell-array ADDP, and the x-vector Xdata. |
ADDP | {} [0x0] | none | A cell-array of additional parameters to pass to the target function |
DTYPE | 'xydata' |
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The data type to interpret this model as. |
XDATA | [] | none | The X values to evaluate the model at. This can be a vector or an AO (from which the Xdata will be extracted). |
Example |
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plist('FUNCTION', '', 'ADDP', cell(0,0), 'DTYPE', 'xydata', 'XDATA', [[]]) |
Some information of the method ao/evaluateModel are listed below: | |
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Class name | ao |
Method name | evaluateModel |
Category | Signal Processing |
Package name | ltpda |
VCS Version | 967b0eec0dece803a81af8ef54ad2f8c784b20b2 |
Min input args | 1 |
Max input args | -1 |
Min output args | 1 |
Max output args | -1 |
Can be used as modifier | 1 |
Supported numeric types | {'double'} |
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Method: ao/eqmotion | Method: ao/fft | ![]() |
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