Modeling code examples¶
The API user guide includes overviews and workflows for DataRobot's Python client that outline complete examples of common data science and machine learning workflows. Be sure to review the [API quickstart guide]api-quickstart before using the notebooks below.
| トピック | 内容... |
|---|---|
| モデリングワークフローの概要 | How to use DataRobot's Python client to train and experiment with models. |
| 高度なモデルインサイトの生成 | Model insights available for DataRobot's Python client. |
| Build a model factory | A system or a set of procedures that automatically generate predictive models with little to no human intervention. |
| 日時パーティションの設定 | How to use datetime partitioning to guard a project against time-based target leakage. |
| モデルの移行 | あるDataRobotクラスターから別のDataRobotクラスターにモデルを.mlpkgファイルとして転送する方法 |
| Feature selection examples | Notebooks that outline Feature Importance Rank Ensembling (FIRE) and advanced feature selection with Python. |