ExtremelyFastDecisionTreeClassifier: How can I input multiple samples in a single learning session?

[616156]

I'm implementing a project where input samples are divided into two categories. First, one portion of the data is used for training, and then, after completion, the other portion of the data is used for training. I need to utilize the incremental learning feature of the ExtremelyFastDecisionTreeClassifier, but the efficiency is too low when inputting only one sample at a time.

Is there any way to enable the ExtremelyFastDecisionTreeClassifier to input multiple pieces of data in a single learning session?

[smastelini]

Hi! Unfortunately the tree module doesn't support mini batching operations at the moment.