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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.

/// <note>
/// <p>This object belongs to the <code>CreatePredictor</code> operation. If you created your predictor with <code>CreateAutoPredictor</code>, see <code>AttributeConfig</code>.</p>
/// </note>
/// <p>Provides featurization (transformation) information for a dataset field. This object is part of the <code>FeaturizationConfig</code> object.</p>
/// <p>For example:</p>
/// <p> <code>{</code> </p>
/// <p> <code>"AttributeName": "demand",</code> </p>
/// <p> <code>FeaturizationPipeline [ {</code> </p>
/// <p> <code>"FeaturizationMethodName": "filling",</code> </p>
/// <p> <code>"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}</code> </p>
/// <p> <code>} ]</code> </p>
/// <p> <code>}</code> </p>
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct Featurization {
    /// <p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <code>howitworks-missing-values</code>.</p>
    pub attribute_name: ::std::option::Option<::std::string::String>,
    /// <p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>
    pub featurization_pipeline: ::std::option::Option<::std::vec::Vec<crate::types::FeaturizationMethod>>,
}
impl Featurization {
    /// <p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <code>howitworks-missing-values</code>.</p>
    pub fn attribute_name(&self) -> ::std::option::Option<&str> {
        self.attribute_name.as_deref()
    }
    /// <p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>
    pub fn featurization_pipeline(&self) -> ::std::option::Option<&[crate::types::FeaturizationMethod]> {
        self.featurization_pipeline.as_deref()
    }
}
impl Featurization {
    /// Creates a new builder-style object to manufacture [`Featurization`](crate::types::Featurization).
    pub fn builder() -> crate::types::builders::FeaturizationBuilder {
        crate::types::builders::FeaturizationBuilder::default()
    }
}

/// A builder for [`Featurization`](crate::types::Featurization).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct FeaturizationBuilder {
    pub(crate) attribute_name: ::std::option::Option<::std::string::String>,
    pub(crate) featurization_pipeline: ::std::option::Option<::std::vec::Vec<crate::types::FeaturizationMethod>>,
}
impl FeaturizationBuilder {
    /// <p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <code>howitworks-missing-values</code>.</p>
    pub fn attribute_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.attribute_name = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <code>howitworks-missing-values</code>.</p>
    pub fn set_attribute_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.attribute_name = input;
        self
    }
    /// <p>The name of the schema attribute that specifies the data field to be featurized. Amazon Forecast supports the target field of the <code>TARGET_TIME_SERIES</code> and the <code>RELATED_TIME_SERIES</code> datasets. For example, for the <code>RETAIL</code> domain, the target is <code>demand</code>, and for the <code>CUSTOM</code> domain, the target is <code>target_value</code>. For more information, see <code>howitworks-missing-values</code>.</p>
    pub fn get_attribute_name(&self) -> &::std::option::Option<::std::string::String> {
        &self.attribute_name
    }
    /// Appends an item to `featurization_pipeline`.
    ///
    /// To override the contents of this collection use [`set_featurization_pipeline`](Self::set_featurization_pipeline).
    ///
    /// <p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>
    pub fn featurization_pipeline(mut self, input: crate::types::FeaturizationMethod) -> Self {
        let mut v = self.featurization_pipeline.unwrap_or_default();
        v.push(input);
        self.featurization_pipeline = ::std::option::Option::Some(v);
        self
    }
    /// <p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>
    pub fn set_featurization_pipeline(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::FeaturizationMethod>>) -> Self {
        self.featurization_pipeline = input;
        self
    }
    /// <p>An array of one <code>FeaturizationMethod</code> object that specifies the feature transformation method.</p>
    pub fn get_featurization_pipeline(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::FeaturizationMethod>> {
        &self.featurization_pipeline
    }
    /// Consumes the builder and constructs a [`Featurization`](crate::types::Featurization).
    pub fn build(self) -> crate::types::Featurization {
        crate::types::Featurization {
            attribute_name: self.attribute_name,
            featurization_pipeline: self.featurization_pipeline,
        }
    }
}