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MKA1 tracking is compatible with MLflow experiment tracking and selected W&B clients. Use it from any training framework or tool that supports a custom MLflow tracking URI for parameters and metrics.

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Connect to tracking

Use https://tracking.mka1.com with an API key that has read:tracking and write:tracking scopes. For MLflow-compatible tools, configure:
MLflow configuration
Your existing MLflow integration can then send experiment parameters and metrics to MKA1. Experiments and runs are scoped to your API key’s organization and team.

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W&B compatibility

Supported versions for metrics logging and run resume: wandb>=0.22.0,<0.23.1.
W&B configuration

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Example: log a training run

If your training framework already logs through MLflow, use its existing integration. To log directly from your own code, the equivalent implementation looks like this:
MLflow client

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Artifacts

Artifact upload, download, and listing are not supported yet. W&B versioned Artifacts are also unsupported. Store checkpoints, datasets, and model files in Repositories.