I am trying to optimize a logistic regression function in scikit-learn by using a cross-validated grid parameter search, but I can't seem to implement it. It
I am performing a grid search to identify the best SVM parameters. I am using ipython and sklearn. The code is slow and runs on only one core. How can this be s
I'm trying to import sklearn model_selection but I'm getting the following error: ImportError Traceback (most recent call last) &