How Do I Set the Runtime Environment of the AI Engine Scikit_Learn 0.18.1?
On the Algorithm Management page of ModelArts, click Create. On the Create Algorithm page, select Show Old Engines for AI Engine. Then, select XGBoost-Sklearn.
For details about how to create an algorithm in ModelArts, see Creating an Algorithm.
For details about how to create a training job, see Creating a Training Job.
Functional Consulting FAQs
- What Are the Format Requirements for Algorithms Imported from a Local Environment?
- What Are the Solutions to Underfitting?
- What Are the Precautions for Switching Training Jobs from the Old Version to the New Version?
- How Do I Obtain a Trained ModelArts Model?
- How Do I Set the Runtime Environment of the AI Engine Scikit_Learn 0.18.1?
- Must the Hyperparameters Optimized Using a TPE Algorithm Be Categorical?
- What Is TensorBoard Used for in Model Visualization Jobs?
- How Do I Obtain RANK_TABLE_FILE on ModelArts for Distributed Training?
- How Do I Obtain the CUDA and cuDNN Versions of a Custom Image?
- How Do I Obtain a MoXing Installation File?
- In a Multi-Node Training, the TensorFlow PS Node Functioning as a Server Will Be Continuously Suspended. How Does ModelArts Determine Whether the Training Is Complete? Which Node Is a Worker?
- How Do I Install MoXing for a Custom Image of a Training Job?
- An IAM User Cannot Select an Existing SFS Turbo File System When Using a Dedicated Resource Pool to Create a Training Job
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