mlpack.random_forest

random_forest(...)
Random forests

>>> from mlpack import random_forest

This program is an implementation of the standard random forest classification algorithm by Leo Breiman. A random forest can be trained and saved for later use, or a random forest may be loaded and predictions or class probabilities for points may be generated.

This documentation will be rewritten once #880 is merged.

input options

output options

The return value from the binding is a dict containing the following elements: