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New-MLRealtimeEndpoint-MLModelId <String>-Select <String>-PassThru <SwitchParameter>-Force <SwitchParameter>-ClientConfig <AmazonMachineLearningConfig>
MLModel
. The endpoint contains the URI of the MLModel
; that is, the location to send real-time prediction requests for the specified MLModel
. Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
MLModel
during creation. Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Aliases | ModelId |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | AK |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | AWSProfilesLocation, ProfilesLocation |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | StoredCredentials, AWSProfileName |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | RegionToCall |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | SK, SecretAccessKey |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | ST |
New-MLRealtimeEndpoint -ModelId IDCreate a new realtime prediction endpoint for the given model id.
AWS Tools for PowerShell: 2.x.y.z