vetiver_sm_delete

Use this function to delete the Amazon SageMaker components used in a
<code>vetiver_endpoint_sagemaker()</code> object. This function does not delete
any pinned model object in S3.

The goal of 'vetiver' is to provide fluent tooling to
version, share, deploy, and monitor a trained model. Functions handle
both recording and checking the model's input data prototype, and
predicting from a remote API endpoint. The 'vetiver' package is
extensible, with generics that can support many kinds of models.

Julia Silge

vetiver

Version, Share, Deploy, and Monitor Models

Posit Software, PBC 

vetiver_sm_delete function

<dl><dt>object</dt>
<dd>The model API endpoint object to be deleted, created with
<code>vetiver_endpoint_sagemaker()</code>.</dd>
<dt>delete_model</dt>
<dd>Delete the SageMaker model? Defaults to <code>TRUE</code>.</dd>
<dt>delete_endpoint</dt>
<dd>Delete both the endpoint and endpoint configuration?
Defaults to <code>TRUE</code>.</dd></dl>

Arguments

Delete Amazon SageMaker model, endpoint, and endpoint configuration — vetiver_sm_delete

<dl>

<dt>object</dt>
<dd>The model API endpoint object to be deleted, created with
<code>vetiver_endpoint_sagemaker()</code>.</dd>


<dt>delete_model</dt>
<dd>Delete the SageMaker model? Defaults to <code>TRUE</code>.</dd>


<dt>delete_endpoint</dt>
<dd>Delete both the endpoint and endpoint configuration?
Defaults to <code>TRUE</code>.</dd>

</dl>

vetiver_sm_delete: Delete Amazon SageMaker model, endpoint, and endpoint configuration

Description

Usage

Value

Arguments

See Also