Comments (1)
cerlymarco
commented on May 25, 2024
Since ALL the estimators in linear-tree are sklearn stimators, you can use GridSearchCV according to the standard sklearn syntax.
parameters = {'base_estimator__alpha':[1, 5, 10], 'n_estimators':[50, 100, 500, 700]}
model = GridSearchCV(LinearForestRegressor(Ridge()), parameters, n_jobs=-1)
model.fit(X,y)
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from linear-tree.
Related Issues (20)
- Which traversing method does linear tree use to find the left and right node ? HOT 1
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