@@ -79,27 +79,22 @@ import {
79 79
CognitoConfig,
80 80
CognitoMemberDefinition,
81 81
CollectionConfiguration,
82 -
CompilationJobStatus,
83 82
DeviceSelectionConfig,
84 83
EdgeDeploymentConfig,
85 84
EndpointInput,
86 85
GitConfig,
87 86
HubContentType,
88 -
InputConfig,
89 87
JupyterServerAppSettings,
90 88
KernelGatewayAppSettings,
91 89
MetadataProperties,
92 90
ModelBiasAppSpecification,
93 -
ModelBiasBaselineConfig,
94 91
ModelDeployConfig,
95 92
MonitoringConstraintsResource,
96 93
MonitoringNetworkConfig,
97 94
MonitoringOutputConfig,
98 95
MonitoringResources,
99 96
MonitoringStatisticsResource,
100 97
MonitoringStoppingCondition,
101 -
NeoVpcConfig,
102 -
OutputConfig,
103 98
ProcessingInstanceType,
104 99
ProcessingS3UploadMode,
105 100
RetryStrategy,
@@ -108,6 +103,24 @@ import {
108 103
UserSettings,
109 104
} from "./models_1";
110 105 106 +
/**
107 +
* <p>The configuration for a baseline model bias job.</p>
108 +
* @public
109 +
*/
110 +
export interface ModelBiasBaselineConfig {
111 +
/**
112 +
* <p>The name of the baseline model bias job.</p>
113 +
* @public
114 +
*/
115 +
BaseliningJobName?: string | undefined;
116 + 117 +
/**
118 +
* <p>The constraints resource for a monitoring job.</p>
119 +
* @public
120 +
*/
121 +
ConstraintsResource?: MonitoringConstraintsResource | undefined;
122 +
}
123 + 111 124
/**
112 125
* <p>The ground truth labels for the dataset used for the monitoring job.</p>
113 126
* @public
@@ -6169,6 +6182,12 @@ export interface DescribeAppResponse {
6169 6182
*/
6170 6183
Status?: AppStatus | undefined;
6171 6184 6185 +
/**
6186 +
* <p>The effective status of Trusted Identity Propagation (TIP) for this application. When enabled, user identities from IAM Identity Center are being propagated through the application to TIP enabled Amazon Web Services services. When disabled, standard IAM role-based access is used. </p>
6187 +
* @public
6188 +
*/
6189 +
EffectiveTrustedIdentityPropagationStatus?: FeatureStatus | undefined;
6190 + 6172 6191
/**
6173 6192
* <p> Indicates whether the application is launched in recovery mode. </p>
6174 6193
* @public
@@ -7009,119 +7028,6 @@ export interface ModelDigests {
7009 7028
ArtifactDigest?: string | undefined;
7010 7029
}
7011 7030 7012 -
/**
7013 -
* @public
7014 -
*/
7015 -
export interface DescribeCompilationJobResponse {
7016 -
/**
7017 -
* <p>The name of the model compilation job.</p>
7018 -
* @public
7019 -
*/
7020 -
CompilationJobName: string | undefined;
7021 - 7022 -
/**
7023 -
* <p>The Amazon Resource Name (ARN) of the model compilation job.</p>
7024 -
* @public
7025 -
*/
7026 -
CompilationJobArn: string | undefined;
7027 - 7028 -
/**
7029 -
* <p>The status of the model compilation job.</p>
7030 -
* @public
7031 -
*/
7032 -
CompilationJobStatus: CompilationJobStatus | undefined;
7033 - 7034 -
/**
7035 -
* <p>The time when the model compilation job started the <code>CompilationJob</code> instances. </p> <p>You are billed for the time between this timestamp and the timestamp in the <code>CompilationEndTime</code> field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container. </p>
7036 -
* @public
7037 -
*/
7038 -
CompilationStartTime?: Date | undefined;
7039 - 7040 -
/**
7041 -
* <p>The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed. </p>
7042 -
* @public
7043 -
*/
7044 -
CompilationEndTime?: Date | undefined;
7045 - 7046 -
/**
7047 -
* <p>Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training costs.</p>
7048 -
* @public
7049 -
*/
7050 -
StoppingCondition: StoppingCondition | undefined;
7051 - 7052 -
/**
7053 -
* <p>The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.</p>
7054 -
* @public
7055 -
*/
7056 -
InferenceImage?: string | undefined;
7057 - 7058 -
/**
7059 -
* <p>The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.</p>
7060 -
* @public
7061 -
*/
7062 -
ModelPackageVersionArn?: string | undefined;
7063 - 7064 -
/**
7065 -
* <p>The time that the model compilation job was created.</p>
7066 -
* @public
7067 -
*/
7068 -
CreationTime: Date | undefined;
7069 - 7070 -
/**
7071 -
* <p>The time that the status of the model compilation job was last modified.</p>
7072 -
* @public
7073 -
*/
7074 -
LastModifiedTime: Date | undefined;
7075 - 7076 -
/**
7077 -
* <p>If a model compilation job failed, the reason it failed. </p>
7078 -
* @public
7079 -
*/
7080 -
FailureReason: string | undefined;
7081 - 7082 -
/**
7083 -
* <p>Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.</p>
7084 -
* @public
7085 -
*/
7086 -
ModelArtifacts: ModelArtifacts | undefined;
7087 - 7088 -
/**
7089 -
* <p>Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.</p>
7090 -
* @public
7091 -
*/
7092 -
ModelDigests?: ModelDigests | undefined;
7093 - 7094 -
/**
7095 -
* <p>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI assumes to perform the model compilation job.</p>
7096 -
* @public
7097 -
*/
7098 -
RoleArn: string | undefined;
7099 - 7100 -
/**
7101 -
* <p>Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.</p>
7102 -
* @public
7103 -
*/
7104 -
InputConfig: InputConfig | undefined;
7105 - 7106 -
/**
7107 -
* <p>Information about the output location for the compiled model and the target device that the model runs on.</p>
7108 -
* @public
7109 -
*/
7110 -
OutputConfig: OutputConfig | undefined;
7111 - 7112 -
/**
7113 -
* <p>A <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VpcConfig.html">VpcConfig</a> object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/neo-vpc.html">Protect Compilation Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
7114 -
* @public
7115 -
*/
7116 -
VpcConfig?: NeoVpcConfig | undefined;
7117 - 7118 -
/**
7119 -
* <p>Information that SageMaker Neo automatically derived about the model.</p>
7120 -
* @public
7121 -
*/
7122 -
DerivedInformation?: DerivedInformation | undefined;
7123 -
}
7124 - 7125 7031
/**
7126 7032
* @internal
7127 7033
*/
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4