1
Install ClearML Server
Set up the ClearML server locally or use the hosted ClearML server for experiment tracking and orchestration.
2
Integrate ClearML SDK
Install the ClearML Python SDK in your ML environment and instrument your training scripts to log experiments.
3
Run and Track Experiments
Execute your ML experiments and monitor metrics, logs, and artifacts in the ClearML dashboard.
4
Create Pipelines
Define and schedule ML pipelines to automate workflows such as data preprocessing, training, and evaluation.
5
Collaborate and Share
Invite team members to the ClearML server to collaborate on experiments and share insights.