elasticsearch-js/docs/reference/api/MlDataframeAnalysisFeatureProcessor.md

Interface MlDataframeAnalysisFeatureProcessor

Name	Type	Description
frequency_encoding	MlDataframeAnalysisFeatureProcessorFrequencyEncoding	The configuration information necessary to perform frequency encoding.
multi_encoding	MlDataframeAnalysisFeatureProcessorMultiEncoding	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.
n_gram_encoding	MlDataframeAnalysisFeatureProcessorNGramEncoding	The configuration information necessary to perform n-gram encoding. Features created by this encoder have the following name format: < feature_prefix > . < string position > . For example, if the feature_prefix is f, the feature name for the second unigram in a string is f.11.
one_hot_encoding	MlDataframeAnalysisFeatureProcessorOneHotEncoding	The configuration information necessary to perform one hot encoding.
target_mean_encoding	MlDataframeAnalysisFeatureProcessorTargetMeanEncoding	The configuration information necessary to perform target mean encoding.