imported>Scott |
imported>Jeremy |
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| ===Purpose===
| | SIMCA model builder interface |
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| Create array of preprocessing combinations for use with [[modeloptimizer]].
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| ===Synopsis===
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| : pplist = preprocessiterator(inpp);%Shows gui for iterator settings.
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| : pplist = preprocessiterator(inpp,imatrix);%Command line call.
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| ===Description===
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| For given input preprocessing structure (inpp), create combinations of preprocessing based on PP methods that can be iterated over using simple min/steps/max values. If iteration matrix (imatrix) is not provided a window will appear allowing user to specify iterations. Some of the methods are discussed in [[Advanced_Preprocessing | Advanced Preprocessing]].
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| Supported Preprocessing Methods:
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| # Derivative ([[Savgol]])
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| # [[Normaliz | Normalize]]
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| # [[glsw | GLS Weighting]]
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| # [[glsw | EPO Filter]]
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| # [[wlsbaseline | Baseline (Automatic Whittaker Filter)]]
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| # [[baseline | Detrend]]
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| # [[Gapsegment | Gap Segment Derivative]]
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| # [[Auto | Autoscale]]
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| # [[poissonscale | Poisson (Sqrt Mean) Scaling]]
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| Iterator Matrix (imatrix) example. Cell array n x 9 with following columns:
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| # Relative Index - Relative index of given method.
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| # Preprocess Name - Name of preprocess method.
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| # Parameter Name - Name of .userdata parameter.
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| # Parameter Variable - Name of .userdata field.
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| # Data Type - Allowed values for Min and Max.
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| # Min - First value.
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| # Step - Size of interval of each step.
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| # Max - Last value.
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| # Use Log - Use a log scale to create values.
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| <pre>
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| inpp = preprocess('default','mean center','derivative','normalize', 'mean center','sqmnsc','normalize','log10','whittaker');
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| imatrix = { 1 'derivative' 'Width' 'width' 'int(1:inf)' 1 1 1 0;
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| 1 'derivative' 'Derivative' 'deriv' 'int(1:inf)' 1 1 1 0;...
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| 1 'derivative' 'Order' 'order' 'int(1:inf)' 1 1 1 0;
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| 2 'Normalize' 'Norm Type' 'normtype' 'int(1:inf)' 1 2 2 0;...
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| 1 'GLS Weighting' 'Alpha' 'a' 'float(0:inf)' 1 1 1 1};
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| pplist = preprocessiterator(inpp,imatrix)</pre>
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| NOTE: If the original preprocess structure contains 2 Normalize steps, the second Normalize will be iterated over.
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| ===See Also===
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| [[preprocess]], [[preprouser]]
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