CD4AutoML Cloudformation resource: deploy managed end-to-end AutoML workflow with Amazon Cloudformation
This is the Amazon Cloudformation resource for CD4AutoML.
Cd4AutoML is a managed end-to-end workflow that automates the entire machine learning workflow from automated
machine learning to real time inference over a REST API on managed infrastructure.
To declare this entity in your AWS CloudFormation template, use the following syntax:
- {
- "Type" : "CD4AutoML::Workflow::Deploy",
- "Properties" : {
- "S3TrainingDataPath" : String,
- "TargetColumnName" : String,
- "NotificationEmail" : String,
- "WorkflowName" : String,
- "Schedule" : String,
- }
- }
- Type: CD4AutoML::Workflow::Deploy
- Properties:
- S3TrainingDataPath: String
- TargetColumnName: String
- NotificationEmail: String
- WorkflowName: String
- Schedule: String
S3 Path containing training data. Data format must CSV with headers.
Required: Yes
Type: String
Update requires: No interruption
The name of the target column to be predicted. This MUST be last column in the CSV data in S3
Required: Yes
Type: String
Minimum: 5
Maximum: 10
Update requires: No interruption
Valid email address to receive email notifications.
Required: Yes
Type: String
Pattern: ^[\x20-\x45]?[\w-+]+(.[\w]+)@[\w-]+(.[\w]+)(.[a-z]{2,})$
Update requires: No interruption
Unique Name or Identifier for CD4AutoML workflow
Required: Yes
Type: String
Update requires: No interruption
Number of days before retraining AutoML model.
Required: No
Type: String
Update requires: No interruption
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref returns the WorkflowName.
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt.
REST API URI for real time model inference available once workflow is completed