黒木玄 Gen Kuroki
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2020年02月20日(木)

By the way in that same notebook you can also see SHAP (master branch) explaining the decision of sklearn.ensemble.HistGradientBoostingRegressor: pic.twitter.com/tTAl6QKsUa
タグ:
posted at 03:26:44

Here is the full notebook with the interactive plots at the bottom if you want to play with them:
nbviewer.jupyter.org/github/ogrisel...
Gradient Boosting to predict the price of houses in Ames. pic.twitter.com/eKjuay2aJ3
タグ:
posted at 03:23:10

Plotly's interactive parallel coordinates plot is really nice to build some insights on the impact of hyper-parameters on the generalization performance. pic.twitter.com/ekOVDqIjwi
タグ:
posted at 03:23:07