Index: MGET/Branches/Jason/PythonPackage/dist/TracOnlineDocumentation/Documentation/ArcGISReference/GAM.PredictFromArcGISRasters.html =================================================================== --- MGET/Branches/Jason/PythonPackage/dist/TracOnlineDocumentation/Documentation/ArcGISReference/GAM.PredictFromArcGISRasters.html (revision 840) +++ MGET/Branches/Jason/PythonPackage/dist/TracOnlineDocumentation/Documentation/ArcGISReference/GAM.PredictFromArcGISRasters.html (revision 842) @@ -1,5 +1,5 @@ -Predict GAM From Rasters
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Predict GAM From Rasters

Using a fitted generalized additive model (GAM), this tool creates a raster representing the response variable predicted from ArcGIS rasters representing the predictor variables.


Command line syntax

GAMPredictFromArcGISRasters_GeoEco <inputModelFile> <inputPredictorRasters;inputPredictorRasters...> <variableNames;variableNames...> <outputResponseRaster> {templateRaster} {resamplingTechniques;resamplingTechniques...} {ignoreOutOfRangeValues} {outputErrorRaster} {outputBinaryResponseRaster} {cutoff} {buildPyramids}

Parameters
ExpressionExplanation
<inputModelFile>

File that contains the fitted model, generated by the Fit GAM +Predict GAM From Rasters
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Predict GAM From Rasters

Using a fitted generalized additive model (GAM), this tool creates a raster representing the response variable predicted from ArcGIS rasters representing the predictor variables.


Command line syntax

GAMPredictFromArcGISRasters_GeoEco <inputModelFile> <inputPredictorRasters;inputPredictorRasters...> <variableNames;variableNames...> <outputResponseRaster> {templateRaster} {resamplingTechniques;resamplingTechniques...} {ignoreOutOfRangeValues} {outputErrorRaster} {outputBinaryResponseRaster} {cutoff} {buildPyramids}

Parameters
ExpressionExplanation
<inputModelFile>

File that contains the fitted model, generated by the Fit GAM tool.

<inputPredictorRasters;inputPredictorRasters...>

Rasters that represent the predictor variables used in the model.

This list must include one raster for each predictor variable that appears in the model's formula. The list provided for the Model