Feature tornado #76
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Feature tornado #76
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…ern/sequential_selection_method Origin/intern/sequential selection method
examples/regression/interntest.ipynb examples/regression/remove_column.ipynb
…_analysis-module-maintenance Feature/#5 analysis module maintenance
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・使用しない説明変数を削除するように変更 ・printをloggingに置換 ・モデルの保存手法を変更 ・tornadoのexampleを追加 ・predictやfitの際にコピーしたデータを入力するように変更
Tornado: recursive training module to get better Cyclic boosting model
Update for merging to main branch
Feature/tornado
simplify variable names and argument passing in preprocess.py
Tuning for vecterized QPD
Feature/tornado: maintenance for ver 1.4.0
Tornado: prepare for document
…rnado Feature/tornado
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How does the exploration of possible features work? Does it take into account feature combinations? When I looked at the Walmart Example I saw that tornado just found 1 interaction. This seems strange. I would expect, that there are several |
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implementation for probability distribution prediction and automatic recursive training to detect intaraction terms
we created a subpackage called Tornado. Tornado consists of 8 modules.
You can check the operation using the notebook included in examples/regression/tornado.
We have already had multiple people verify that the code reviews and tests work, but we would appreciate it if you could help us make the product even better.