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# Walkthroughs | |
These guides walk you through common tasks central to the Arthur platform. | |
## {doc}`Model Onboarding <model-onboarding/index>` | |
This walkthrough shows the steps of onboarding a model to Arthur. | |
## {doc}`Metrics & Alerts <metrics_alerts>` | |
This walkthrough covers model metrics and alerts, for configuring how you define model performance and what issues you get notified about. | |
## {doc}`Enrichments <enrichments>` | |
This walkthrough shows the steps of turning on and configuring **_enrichments_**, which are additional services that the Arthur platform provides for state-of-the-art proactive model monitoring. | |
## {doc}`Explainability <explainability>` | |
This walkthrough shows the process of explaining models using feature importance scores. | |
## {doc}`Bias Monitoring <bias_monitoring>` | |
This walkthrough shows the process of identifying bias in model performance between groups of your data. | |
```{toctree} | |
:hidden: | |
:maxdepth: 2 | |
Model Onboarding <model-onboarding/index> | |
Metrics & Alerts <metrics_alerts> | |
Enrichments <enrichments> | |
Explainability <explainability> | |
Bias Monitoring <bias_monitoring> | |
``` |