開始使用 scikit-learn-Azure Databricks 中學習Get started with scikit-learn in Azure Databricks

這個10分鐘的教學課程是設計為 Databricks 中機器學習的簡介。This 10-minute tutorial is designed as an introduction to machine learning in Databricks. 它使用熱門機器學習套件 scikit-learn 中的演算法-與MLflow一起學習,以追蹤模型開發程式和Hyperopt ,以自動化超參數微調。It uses algorithms from the popular machine learning package scikit-learn along with MLflow for tracking the model development process and Hyperopt to automate hyperparameter tuning.

規格需求Requirements

Databricks Runtime 7.0 ML 或更新版本。Databricks Runtime 7.0 ML or above.

Notebook 範例Example notebooks

如果您使用 Databricks Runtime 7.3 LTS ML 或更高版本,Databricks 建議您使用此筆記本中所述的 MLflow autologging。If you are using Databricks Runtime 7.3 LTS ML or above, Databricks recommends using MLflow autologging, illustrated in this notebook.

開始使用 scikit-learn-學習和 MLflow autologging 筆記本Get started with scikit-learn and MLflow autologging notebook

取得筆記本Get notebook

您可以使用下列具有 Databricks Runtime 7.0 ML 或更新版本的筆記本。You can use the following notebook with Databricks Runtime 7.0 ML or above. 此筆記本使用手動 MLflow 記錄來追蹤模型開發。This notebook uses manual MLflow logging to track model development.

開始使用 scikit-learn-學習筆記本Get started with scikit-learn notebook

取得筆記本Get notebook