It is possible to avoid the prwarning
messages, just give
prwarning off
However, do this only when you are very confident what you are doing. The warnings generated by PRTools may be generated to inform you that there might be something wrong. PRTools can continue, but results may be sub-optimal or inappropriate. There are three levels of warnings:
prtime
is reported on this levels.Warnings of the levels 1 and 2 are reported on level 3 as well. Warnings of level 1 are reported on level 2 as well. The warning level is by default level 2. It may be changed by a statement
prwarning (1)
Warning messages may irritate the user in long experiments. A well known warning like:
No priors found in dataset, class frequencies are used.
can easily be avoided by setting the class priors, e.g. by
which sets the class frequencies as priors in the dataset definition. In all further references of the dataset A the prior is now found. This will still generate a single warning. This may be suppressed as well by:
but now a new user, running a routine with this statement, is not informed at all.