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pub struct EndpointProperties {
    pub creation_time: Option<f64>,
    pub current_inference_units: Option<i64>,
    pub data_access_role_arn: Option<String>,
    pub desired_inference_units: Option<i64>,
    pub endpoint_arn: Option<String>,
    pub last_modified_time: Option<f64>,
    pub message: Option<String>,
    pub model_arn: Option<String>,
    pub status: Option<String>,
}
Expand description

Specifies information about the specified endpoint.

Fields

creation_time: Option<f64>

The creation date and time of the endpoint.

current_inference_units: Option<i64>

The number of inference units currently used by the model using this endpoint.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of the AWS identity and Access Management (IAM) role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

desired_inference_units: Option<i64>

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

endpoint_arn: Option<String>

The Amazon Resource Number (ARN) of the endpoint.

last_modified_time: Option<f64>

The date and time that the endpoint was last modified.

message: Option<String>

Specifies a reason for failure in cases of Failed status.

model_arn: Option<String>

The Amazon Resource Number (ARN) of the model to which the endpoint is attached.

status: Option<String>

Specifies the status of the endpoint. Because the endpoint updates and creation are asynchronous, so customers will need to wait for the endpoint to be Ready status before making inference requests.

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