re-use of previous calculation (intermediate result)
in my model I would like to iterate through the maximum number of generations. Does rapidminer re-use the results from the previous step in order to save calculation time? I mean after finishing the calculation with only one feature (and saving this result to file, or something similar) it can directly continue to add the next attributes to the best n-features and continue instead of starting again from 1 for the next iteration ...
Re: re-use of previous calculation (intermediate result)
both requests are only possible for the evolutionary feature selection and weighting schemes. There are parameters for "intermediate" weights savings as well as initilizing the operator by input weights. But this is not possible for the greedy feature selection heuristics.
How to load processes in XML from the forum into RapidMiner: Read this!