Struct aws_sdk_forecast::input::create_explainability_input::Builder

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pub struct Builder { /* private fields */ }

Expand description

A builder for CreateExplainabilityInput.

Implementations§

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impl Builder

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pub fn explainability_name(self, input: impl Into<String>) -> Self

A unique name for the Explainability.

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pub fn set_explainability_name(self, input: Option<String>) -> Self

A unique name for the Explainability.

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pub fn resource_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

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pub fn set_resource_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the Predictor or Forecast used to create the Explainability.

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pub fn explainability_config(self, input: ExplainabilityConfig) -> Self

The configuration settings that define the granularity of time series and time points for the Explainability.

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pub fn set_explainability_config(
self,
input: Option<ExplainabilityConfig>
) -> Self

The configuration settings that define the granularity of time series and time points for the Explainability.

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pub fn data_source(self, input: DataSource) -> Self

The source of your data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key.

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pub fn set_data_source(self, input: Option<DataSource>) -> Self

The source of your data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key.

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pub fn schema(self, input: Schema) -> Self

Defines the fields of a dataset.

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pub fn set_schema(self, input: Option<Schema>) -> Self

Defines the fields of a dataset.

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pub fn enable_visualization(self, input: bool) -> Self

Create an Explainability visualization that is viewable within the AWS console.

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pub fn set_enable_visualization(self, input: Option<bool>) -> Self

Create an Explainability visualization that is viewable within the AWS console.

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pub fn start_date_time(self, input: impl Into<String>) -> Self

If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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pub fn set_start_date_time(self, input: Option<String>) -> Self

If TimePointGranularity is set to SPECIFIC, define the first point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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pub fn end_date_time(self, input: impl Into<String>) -> Self

If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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pub fn set_end_date_time(self, input: Option<String>) -> Self

If TimePointGranularity is set to SPECIFIC, define the last time point for the Explainability.

Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)

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pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.

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pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Optional metadata to help you categorize and organize your resources. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.

The following restrictions apply to tags:

For each resource, each tag key must be unique and each tag key must have one value.
Maximum number of tags per resource: 50.
Maximum key length: 128 Unicode characters in UTF-8.
Maximum value length: 256 Unicode characters in UTF-8.
Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.