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The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
Parralell Processing Extension
I have a data set that contains about 4000 attributes
I'm attempting to cluster the attributes by using K-NN and then connect that up to a decision tree in order to see if it can classify the labels derived from the clustering
This is all embedded in a optimize parameters operator which changes the value of k on each run (so for between 2-10 in three steps), The aim being to get the accuracy of the decision tree as high as possible
I have installed the Parralell Processing Extension on my computer and was wondering is there anything special i have to do in order for it to process the information across the cores on the PC.
I have not been able to get anything back from the experiment because it takes up a huge amount of resources (almost 20 gigs of memory)
Thanks for your time