#[non_exhaustive]
pub struct ListDatasetEntriesInput { pub project_name: Option<String>, pub dataset_type: Option<String>, pub labeled: Option<bool>, pub anomaly_class: Option<String>, pub before_creation_date: Option<DateTime>, pub after_creation_date: Option<DateTime>, pub next_token: Option<String>, pub max_results: Option<i32>, pub source_ref_contains: Option<String>, }

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
project_name: Option<String>

The name of the project that contains the dataset that you want to list.

dataset_type: Option<String>

The type of the dataset that you want to list. Specify train to list the training dataset. Specify test to list the test dataset. If you have a single dataset project, specify train.

labeled: Option<bool>

Specify true to include labeled entries, otherwise specify false. If you don't specify a value, Lookout for Vision returns all entries.

anomaly_class: Option<String>

Specify normal to include only normal images. Specify anomaly to only include anomalous entries. If you don't specify a value, Amazon Lookout for Vision returns normal and anomalous images.

before_creation_date: Option<DateTime>

Only includes entries before the specified date in the response. For example, 2020-06-23T00:00:00.

after_creation_date: Option<DateTime>

Only includes entries after the specified date in the response. For example, 2020-06-23T00:00:00.

next_token: Option<String>

If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of dataset entries.

max_results: Option<i32>

The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

source_ref_contains: Option<String>

Perform a "contains" search on the values of the source-ref key within the dataset. For example a value of "IMG_17" returns all JSON Lines where the source-ref key value matches *IMG_17*.

Implementations

Consumes the builder and constructs an Operation<ListDatasetEntries>

Creates a new builder-style object to manufacture ListDatasetEntriesInput

The name of the project that contains the dataset that you want to list.

The type of the dataset that you want to list. Specify train to list the training dataset. Specify test to list the test dataset. If you have a single dataset project, specify train.

Specify true to include labeled entries, otherwise specify false. If you don't specify a value, Lookout for Vision returns all entries.

Specify normal to include only normal images. Specify anomaly to only include anomalous entries. If you don't specify a value, Amazon Lookout for Vision returns normal and anomalous images.

Only includes entries before the specified date in the response. For example, 2020-06-23T00:00:00.

Only includes entries after the specified date in the response. For example, 2020-06-23T00:00:00.

If the previous response was incomplete (because there is more data to retrieve), Amazon Lookout for Vision returns a pagination token in the response. You can use this pagination token to retrieve the next set of dataset entries.

The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

Perform a "contains" search on the values of the source-ref key within the dataset. For example a value of "IMG_17" returns all JSON Lines where the source-ref key value matches *IMG_17*.

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