cumbof/hdlib: hdlib v0.1.11

hdlib v0.1.11

Fix:

• The model.Model.stepwise_regression function now report the importance corresponding to the best score;
• The model.Model._init_fit_predict function uses average="weighted" for computing a score different from the accuracy to account for label imbalance;
• examples/chopin2.py now computes different scores on the resulting predictions, prints the list of selected features based on the best score, and finally reports the confusion matrices.