pbclassif.rst

Once the model is trained, it can be used in application to perform the
prediction on an entire image containing input predictors (i.e. an image
with only *n* feature components). If the model was trained with
normalization, the same statistic file must be used for prediction. The
behavior of with respect to statistic file is identical to:

-  no statistic file: normalization off

-  *n* components: input only

-  *n+1* components: input and output

The model to use is read from file (the one produced during training).

::

    otbcli_PredictRegression  -in     features_bis.tif
                              -model  model.txt
                              -imstat stats.xml
                              -out    prediction.tif