Amazon Web Services Amazon Web Services Personalize API

openapi: 3.1.0
info:
  title: Amazon Web Services accessanalyzer 2012 09 25 Amazon Web Services Personalize API
  description: <p>Identity and Access Management Access Analyzer helps you to set, verify, and refine your IAM policies by providing a suite of capabilities. Its features include findings for external and unused access, basic and custom policy checks for validating policies, and policy generation to generate fine-grained policies. To start using IAM Access Analyzer to identify external or unused access, you first need to create an analyzer.</p> <p> <b>External access analyzers</b> help identify potential risks of accessing resources by enabling you to identify any resource policies that grant access to an external principal. It does this by using logic-based reasoning to analyze resource-based policies in your Amazon Web Services environment. An external principal can be another Amazon Web Services account, a root user, an IAM user or role, a federated user, an Amazon Web Services service, or an anonymous user. You can also use IAM Access Analyzer to preview public and cross-account access to your resources before deploying permissions changes.</p> <p> <b>Unused access analyzers</b> help identify potential identity access risks by enabling you to identify unused IAM roles, unused access keys, unused console passwords, and IAM principals with unused service and action-level permissions.</p> <p>Beyond findings, IAM Access Analyzer provides basic and custom policy checks to validate IAM policies before deploying permissions changes. You can use policy generation to refine permissions by attaching a policy generated using access activity logged in CloudTrail logs. </p> <p>This guide describes the IAM Access Analyzer operations that you can call programmatically. For general information about IAM Access Analyzer, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html">Identity and Access Management Access Analyzer</a> in the <b>IAM User Guide</b>.</p>
tags:
- name: Amazon Web Services Personalize
paths:
  /:
    POST:
      summary: Amazon Web Services Updaterecommender
      description: 'Updates the recommender to modify the recommender configuration. If you update the recommender to modify the columns used in training, Amazon Personalize automatically starts a full retraining of the models backing your recommender. While the update completes, you can still get recommendations from the recommender. The recommender uses the previous configuration until the update completes. To track the status of this update, use the latestRecommenderUpdate returned in the DescribeRecommender operation. '
      operationId: amazonWebServicesUpdateRecommender
      tags:
      - Amazon Web Services Personalize