Sreevarsha Sreejith
Sreevarsha Sreejith
Hi, thanks so much for your response. A couple of things, (1) I'm not splitting the data set in the code, I already have a split train and test sets,...
Thanks so much, I'll try this :)
Hi, I am having a strange problem. If I update the data after choosing the query from the test set like you have shown, X_lab, y_lab, ind = labeled_repo.get_training_data() model.fit(X_lab,...
Hi, I think I managed to solve this issue. I created a separate validation set from which queries are drawn, now it works. How do I write the classifier into...
Thanks, I did, and it works. Now I have a new problem. If I choose 5 instances during one query, like this : select_ind = unc.select(label_ind, unlab_ind, model=None,batch_size=5) label_ind.update(select_ind) unlab_ind.difference_update(select_ind)...
Hi, thanks so much ! I understand now.
HI, I am using my own model and then routing it through alipy for active learning. I am choosing QueryInstanceUncertainty and specifying the measure entropy. Then why should I again...
Hi, thanks for your reply. 1) select_ind = unc.select(label_ind, unlab_ind,model=gc,batch_size=10) So, if I do like this, wherein gc is my model - I do an initial fit before running it...
Hi, I'm so sorry to bother you again, but is it possible to add metrics that I define into the saver ? instead of just accuracy I'd like to pass...
Thanks so much :) I will try that !