30 lines
1.5 KiB
Markdown
30 lines
1.5 KiB
Markdown
---
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layout: default
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title: Machine learning
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nav_order: 1
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has_children: false
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has_toc: false
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nav_exclude: true
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---
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# Machine learning
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The [ML Commons plugin](https://github.com/opensearch-project/ml-commons/) provides machine learning (ML) features in OpenSearch.
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## Integrating ML models
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For ML-model-powered search, you can use a pretrained model provided by OpenSearch, upload your own model to the OpenSearch cluster, or connect to a foundation model hosted on an external platform. In OpenSearch version 2.9 and later, you can integrate local and external models simultaneously within a single cluster.
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For more information, see [Integrating ML models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/integrating-ml-models/).
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## Managing ML models in OpenSearch Dashboards
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Administrators of ML clusters can use OpenSearch Dashboards to review and manage the status of ML models running inside a cluster. For more information, see [Managing ML models in OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/ml-commons-plugin/ml-dashboard/).
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## Support for algorithms
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ML Commons supports various algorithms to help train ML models and make predictions or test data-driven predictions without a model. For more information, see [Supported algorithms]({{site.url}}{{site.baseurl}}/ml-commons-plugin/algorithms/).
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## ML Commons API
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ML Commons provides its own set of REST APIs. For more information, see [ML Commons API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/index/). |