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Train a FeatureExtractorFunction on a simple dataset:
Extract features from a new example:
Extract features from a list of examples:
Scope (2)Some feature extractors can only perform an approximation of the inverse extraction:
The FeatureExtraction property "ReconstructedData" can be used to obtain the data after extraction and reconstruction:
Some feature extractors cannot be inverted:
Train a feature extractor from a dataset that contains missing values:
The feature extractor now indicates that missing values are imputed. The feature extractor can extract features even when values are missing:
Wolfram Research (2016), FeatureExtractorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html (updated 2017). TextWolfram Research (2016), FeatureExtractorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html (updated 2017).
CMSWolfram Language. 2016. "FeatureExtractorFunction." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2017. https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html.
APAWolfram Language. (2016). FeatureExtractorFunction. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html
BibTeX@misc{reference.wolfram_2025_featureextractorfunction, author="Wolfram Research", title="{FeatureExtractorFunction}", year="2017", howpublished="\url{https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html}", note=[Accessed: 12-July-2025 ]}
BibLaTeX@online{reference.wolfram_2025_featureextractorfunction, organization={Wolfram Research}, title={FeatureExtractorFunction}, year={2017}, url={https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html}, note=[Accessed: 12-July-2025 ]}
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