dataframeanalysisfeatureprocessor.go

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// Code generated from the elasticsearch-specification DO NOT EDIT.
// https://github.com/elastic/elasticsearch-specification/tree/5fb8f1ce9c4605abcaa44aa0f17dbfc60497a757

package types

// DataframeAnalysisFeatureProcessor type.
//
// https://github.com/elastic/elasticsearch-specification/blob/5fb8f1ce9c4605abcaa44aa0f17dbfc60497a757/specification/ml/_types/DataframeAnalytics.ts#L246-L258
type DataframeAnalysisFeatureProcessor struct {
	// FrequencyEncoding The configuration information necessary to perform frequency encoding.
	FrequencyEncoding *DataframeAnalysisFeatureProcessorFrequencyEncoding `json:"frequency_encoding,omitempty"`
	// MultiEncoding The configuration information necessary to perform multi encoding. It allows
	// multiple processors to be changed together. This way the output of a
	// processor can then be passed to another as an input.
	MultiEncoding *DataframeAnalysisFeatureProcessorMultiEncoding `json:"multi_encoding,omitempty"`
	// NGramEncoding The configuration information necessary to perform n-gram encoding. Features
	// created by this encoder have the following name format:
	// <feature_prefix>.<ngram><string position>. For example, if the feature_prefix
	// is f, the feature name for the second unigram in a string is f.11.
	NGramEncoding *DataframeAnalysisFeatureProcessorNGramEncoding `json:"n_gram_encoding,omitempty"`
	// OneHotEncoding The configuration information necessary to perform one hot encoding.
	OneHotEncoding *DataframeAnalysisFeatureProcessorOneHotEncoding `json:"one_hot_encoding,omitempty"`
	// TargetMeanEncoding The configuration information necessary to perform target mean encoding.
	TargetMeanEncoding *DataframeAnalysisFeatureProcessorTargetMeanEncoding `json:"target_mean_encoding,omitempty"`
}

// NewDataframeAnalysisFeatureProcessor returns a DataframeAnalysisFeatureProcessor.
func NewDataframeAnalysisFeatureProcessor() *DataframeAnalysisFeatureProcessor {
	r := &DataframeAnalysisFeatureProcessor{}

	return r
}