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Permutation Feature Importance¶
Experiment initialization and data preparation
from piml import Experiment
from piml.models import XGB2Regressor
exp = Experiment()
exp.data_loader(data="BikeSharing", silent=True)
exp.data_summary(feature_exclude=["yr", "mnth", "temp"], silent=True)
exp.data_prepare(target="cnt", task_type="regression", silent=True)
Train Model
exp.model_train(model=XGB2Regressor(), name="XGB2")
PFI Plot
exp.model_explain(model="XGB2", show="pfi", n_repeats=10, figsize=(5, 4))
Total running time of the script: ( 0 minutes 17.928 seconds)
Estimated memory usage: 21 MB