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pub struct EndpointInput {
    pub end_time_offset: Option<String>,
    pub endpoint_name: String,
    pub features_attribute: Option<String>,
    pub inference_attribute: Option<String>,
    pub local_path: String,
    pub probability_attribute: Option<String>,
    pub probability_threshold_attribute: Option<f64>,
    pub s3_data_distribution_type: Option<String>,
    pub s3_input_mode: Option<String>,
    pub start_time_offset: Option<String>,
}
Expand description

Input object for the endpoint

Fields

end_time_offset: Option<String>

If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpoint_name: String

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

features_attribute: Option<String>

The attributes of the input data that are the input features.

inference_attribute: Option<String>

The attribute of the input data that represents the ground truth label.

local_path: String

Path to the filesystem where the endpoint data is available to the container.

probability_attribute: Option<String>

In a classification problem, the attribute that represents the class probability.

probability_threshold_attribute: Option<f64>

The threshold for the class probability to be evaluated as a positive result.

s3_data_distribution_type: Option<String>

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

s3_input_mode: Option<String>

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

start_time_offset: Option<String>

If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

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