AWS::SageMaker::ModelExplainabilityJobDefinition EndpointInput
Input object for the endpoint
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "EndpointName" :
String
, "FeaturesAttribute" :String
, "InferenceAttribute" :String
, "LocalPath" :String
, "ProbabilityAttribute" :String
, "S3DataDistributionType" :String
, "S3InputMode" :String
}
YAML
EndpointName:
String
FeaturesAttribute:String
InferenceAttribute:String
LocalPath:String
ProbabilityAttribute:String
S3DataDistributionType:String
S3InputMode:String
Properties
EndpointName
-
An endpoint in customer's account which has enabled
DataCaptureConfig
enabled.Required: Yes
Type: String
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9])*
Maximum:
63
Update requires: Replacement
FeaturesAttribute
-
The attributes of the input data that are the input features.
Required: No
Type: String
Maximum:
256
Update requires: Replacement
InferenceAttribute
-
The attribute of the input data that represents the ground truth label.
Required: No
Type: String
Maximum:
256
Update requires: Replacement
LocalPath
-
Path to the filesystem where the endpoint data is available to the container.
Required: Yes
Type: String
Pattern:
.*
Maximum:
256
Update requires: Replacement
ProbabilityAttribute
-
In a classification problem, the attribute that represents the class probability.
Required: No
Type: String
Maximum:
256
Update requires: Replacement
S3DataDistributionType
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to
FullyReplicated
Required: No
Type: String
Allowed values:
FullyReplicated | ShardedByS3Key
Update requires: Replacement
S3InputMode
-
Whether the
Pipe
orFile
is used as the input mode for transferring data for the monitoring job.Pipe
mode is recommended for large datasets.File
mode is useful for small files that fit in memory. Defaults toFile
.Required: No
Type: String
Allowed values:
Pipe | File
Update requires: Replacement