machineLearning

machineLearningAka

aws-machinelearning

A read-only policy generated by Turbot that lists the APIs that
should be added to the turbot-managed (hard) boundary policy,
thereby enabling them to be assigned to users and roles.
This value will change depending on the value of the value of the
`AWS &gt; Machine Learning &gt; Permissions &gt; Lockdown &gt; API Boundary` policy


AWS > Turbot > Permissions > Compiled > API Boundary

AWS > Account

AWS > Turbot > Permissions > Compiled > API Boundary > @turbot/aws-machinelearning

A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS Machine Learning
that is used as input to the control that manages the IAM stack.


AWS > Turbot > Permissions > Compiled > Service Permissions

AWS > Turbot > Permissions > Compiled > Service Permissions > @turbot/aws-machinelearning

A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS Machine Learning
that is used as input to the stack that manages the Turbot IAM permissions objects.


AWS > Turbot > Permissions > Compiled > Levels

AWS > Turbot > Permissions > Compiled > Levels > @turbot/aws-machinelearning

Configure whether the AWS Machine Learning API is enabled.
**Note:** Disabling the service disables the API for ALL users and roles, and Turbot will have no access to the API.


AWS > Machine Learning

AWS > Machine Learning > API Enabled

A list of AWS regions in which AWS Machine Learning resources are approved for use.

The expected format is an array of regions names. You may use the &#39;*&#39; and
&#39;?&#39; wildcard characters.

This policy is the default value for all AWS Machine Learning resources&#39; Approved &gt; Regions policies.


AWS > Machine Learning > Approved Regions [Default]

AWS > Machine Learning > Enabled

AWS > Machine Learning > Permissions > Levels

AWS > Machine Learning > Permissions > Lockdown

Configure whether permissions policies are in effect for AWS Machine Learning.

This setting does not affect account level permissions (AWS/Admin, AWS/Owner, etc)

**Note:** The behavior of this policy depends on the value of AWS &gt; Permissions.


AWS > Machine Learning > Permissions

AWS > Machine Learning > Permissions > Levels > Modifiers

Define the permissions levels that can be used to grant access to an AWS account.
Permissions levels defined will appear in the UI to assign access to Turbot users.
This policy provides a default for Permissions &gt; Levels in each service,
however you can explicitly override the setting for each service if desired


A map of AWS API to Turbot Permission Level used to customize Turbot&#39;s standard permissions.
You can add, remove or redefine the mapping of AWS API operations to Turbot permissions levels here.

**Note:** Modifiers are cumulative - if you add a permission to the Metadata level, it is also added to ReadOnly, Operator and Admin.
Modifier policies set here apply ONLY to the AWS level

```
example:
  - &quot;glacier:createvault&quot;: admin
  - &quot;glacier:ListVaults&quot;: metadata
  - &quot;s3:DeleteBucket&quot;: none
```


AWS > Machine Learning > Permissions > Lockdown > API Boundary

Configure whether the AWS machineLearning API is enabled for all users and roles in turbot-managed boundary policies.

**Note:** Disabling the service disables the API for ALL users and roles, and Turbot will have no access to the API.


A list of AWS regions in which AWS Machine Learning resources are supported for use.

The expected format is an array of regions names. You may use the &#39;*&#39; and
&#39;?&#39; wildcard characters.

This policy is the default value for all AWS Machine Learning resources&#39; Regions policies.


AWS > Machine Learning > Regions

A template used to generate the keys and values for AWS Machine Learning resources.

By default, all Machine Learning resource Tags &gt; Template policies will use this value.


AWS > Machine Learning > Tags Template [Default]

AWS > Region

AWS/Machine Learning/Admin

AWS/Machine Learning/Metadata

AWS/Machine Learning/Operator

AWS/Machine Learning/ReadOnly

aws-acm

aws-amplify

aws-apigateway

aws-appconfig

aws-appfabric

aws-appflow

aws-appmesh

aws-appstream

aws-appsync

aws-artifact

aws-athena

aws-auditmanager

aws-backup

aws-batch

aws-bedrock

aws-billing

aws-braket

aws-chatbot

aws-chime

aws-cisv1

aws-cisv1-4

aws-cisv2-0

aws-cisv3-0

aws-cleanrooms

aws-cloud9

aws-clouddirectory

aws-cloudformation

aws-cloudfront

aws-cloudhsm

aws-cloudmap

aws-cloudsearch

aws-cloudshell

aws-cloudtrail

aws-cloudwatch

aws-codebuild

aws-codecommit

aws-codedeploy

aws-codepipeline

aws-codestar

aws-codewhisperer

aws-cognito

aws-comprehend

aws-computeoptimizer

aws-config

aws-connect

aws-datapipeline

aws-datasync

aws-dax

aws-devicefarm

aws-directconnect

aws-directoryservice

aws-dms

aws-docdb

aws-dynamodb

aws-ec2

aws-ec2imagebuilder

aws-ecr

aws-ecs

aws-efs

aws-eks

aws-elasticache

aws-elasticbeanstalk

aws-elasticinference

aws-elasticsearch

aws-elastictranscoder

aws-emr

aws-eventbridgepipes

aws-eventbridgescheduler

aws-events

aws-fms

aws-fsx

aws-gamelift

aws-glacier

aws-globalaccelerator

aws-glue

aws-gluedatabrew

aws-greengrass

aws-guardduty

aws-health

aws-hipaa

aws-iam

aws-inspector

aws-iot

aws-iot1click

aws-iotanalytics

aws-iotevents

aws-iotsitewise

aws-iotthingsgraph

aws-kendra

aws-kinesis

aws-kms

aws-lakeformation

aws-lambda

aws-lex

aws-lightsail

aws-location

aws-logs

aws-macie

Mod: aws-machinelearning

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