Ah, thanks for explanation!
On Sat, Nov 16, 2013 at 2:06 AM, Scott Purdy <[email protected]> wrote: > > > Not sure what you mean when you say running it through the OPF. For the > OpfRunExperiment.py OPF client, it would be like this with a reset field: > Yes, I meant "running with an OPF client, where data is in the csv format". Eg the linguist code uses OPF description.py to construct the model, but the model is then run in a loop by the user. > > val1,val2,reset > int,int,int > ,,R > 1,1,0 > 1,2,0 > 2,1,1 > 2,2,0 > 2,2,1 > > Example: examples/opf/experiments/multistep/datasets/first_order_0.csv > > or like this with a sequence field: > > val1,val2,sequence > int,int,string > ,,S > 1,1,The first sequence > 1,2,The first sequence > 2,1,The second sequence > 2,2,The second sequence > 2,2,something else > > Example: examples/prediction/data/extra/hotgym/hotgym.csv > Great, now it's clear. (note to self: this would be nice to have on the wiki). And none of those actually takes the 3rd col for learning, right? -- Marek Otahal :o)
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