I\'d like to use the warm_start parameter to add training data to my random forest classifier. I expected it to be used like this:
warm_start
clf = RandomF
Just to add to excellent @sascha`s answer, this hackie method works:
rf = RandomForestClassifier(n_estimators=1, warm_start=True) rf.fit(X_train, y_train) rf.n_estimators += 1 rf.fit(X_train, y_train)