Note
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Data Summary¶
Showing data summary result using the BikeSharing dataset as example.
Experiment initialization and data preparation
from piml import Experiment
exp = Experiment(highcode_only=True)
exp.data_loader(data="BikeSharing", silent=True)
Feature removal
exp.data_summary(feature_exclude=["yr", "mnth", "temp"], silent=True)
Change feature types
exp.data_summary(feature_exclude=["yr", "mnth", "temp"], feature_type={"weekday": "categorical"}, silent=True)
Total running time of the script: ( 0 minutes 24.096 seconds)
Estimated memory usage: 14 MB