rapids_random_forest_1215
Author:

In this notebook we will train a scikit-learn and a cuML Random Forest Classification model. Then we save the cuML model for future use with Python's pickling mechanism and demonstrate how to re-load it for prediction. We also compare the results of the scikit-learn, non-pickled and pickled cuML models.
Tasks: Tabular Classification
Task Categories: Tabular
Published: 12/15/22
Tags
rapids
cudf
cuml
cuda for scikit-learn
scikit-learn
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