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select the test set for the Active Learning manually #13
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The initialize function returns two n-dimensional numpy arrays containing the training and test indices which are randomly assigned. If you want to do this manually, then skip this function call and define your own lists/ndarrays with indices and assign them to tr_ind, te_ind and pass them to the deposit function as referred to on the active learning documentation page. |
If I understand correctly, instead of using
and then perform the following?
I tried the follwing but it is returning |
At the moment the EMC active learning package initializes the training and test set randomly using
tr_ind, te_ind = al.initialize()
. Is it possible to initialize the test set manually?The text was updated successfully, but these errors were encountered: