vetiver_endpoint_sagemaker

This function creates a model API endpoint for prediction from a Sagemaker Model.
No HTTP calls are made until you actually
<code><a href="/link/predict()?package=vetiver&version=0.2.7" data-mini-rdoc="vetiver::predict()">predict()</a></code> with your endpoint.

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_endpoint_sagemaker function

<dl><dt>model_endpoint</dt>
<dd>The name of the Amazon SageMaker model endpoint.</dd></dl>

Arguments

This function creates a model API endpoint for prediction from a Sagemaker Model.
No HTTP calls are made until you actually
<code><a href='https://rdrr.io/r/stats/predict.html'>predict()</a></code> with your endpoint.

Create a SageMaker model API endpoint object for prediction — vetiver_endpoint_sagemaker

<dl>

<dt>model_endpoint</dt>
<dd>The name of the Amazon SageMaker model endpoint.</dd>

</dl>

vetiver_endpoint_sagemaker: Create a SageMaker model API endpoint object for prediction

Description

Usage

Value

Arguments

Examples