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opensearch-docs-cn
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Fixed broken link 

Signed-off-by: keithhc2 <keithhc2@users.noreply.github.com>
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keithhc2 2022-04-07 17:02:18 -07:00
parent e58e129eee
commit b1b32bda67
1 changed files with 4 additions and 13 deletions
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_ml-commons-plugin/index.md
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@ -12,7 +12,7 @@ ML Commons for OpenSearch eases the development of machine learning features by
Interaction with the ML commons plugin occurs through either the [REST API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api) or [AD]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/commands#ad) and [kmeans]({{site.url}}{{site.baseurl}}/observability-plugin/ppl/commands#kmeans) PPL commands.
Models [trained]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#train) through the ML Commons plugin support model-based algorithms such as kmeans. After you've trained a model enough so that it meets your precision requirements, you can apply the model to [predict]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#predict) new data safely.
Models [trained]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#train-model) through the ML Commons plugin support model-based algorithms such as kmeans. After you've trained a model enough so that it meets your precision requirements, you can apply the model to [predict]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#predict) new data safely.
Should you not want to use a model, you can use the [Train and Predict]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api#train-and-predict) API to test your model without having to evaluate the model's performance.
@ -23,12 +23,3 @@ There are two reserved user roles that can use of the ML commons plugin.
- `ml_full_access`: Full access to all ML features, including starting new ML tasks and reading or deleting models.
- `ml_readonly_access`: Can only read ML tasks, trained models and statistics relevant to the model's cluster. Cannot start nor delete ML tasks or models.