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FeatureExtractorFunction []

represents a feature extractor function generated by FeatureExtraction .

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
See Also
Related Guides
History
Cite this Page

FeatureExtractorFunction []

represents a feature extractor function generated by FeatureExtraction .

Details and Options

  • FeatureExtractorFunction works like Function .
  • FeatureExtractorFunction [][data] extracts features from data.
  • FeatureExtractorFunction [][{data1,data2,}] extracts features from each of the datai.
  • FeatureExtractorFunction [][data,prop] gives the specified property of the feature extraction associated with data.
  • Possible properties include:
  • "ExtractedFeatures" features extracted from data (default)
    "OriginalData" deduce original data from extracted features
    "ReconstructedData" extraction and inverse extraction of data
  • The following options can be given:
  • PerformanceGoal Automatic aspects of performance to try to optimize
    RandomSeeding 1234 what seeding of pseudorandom generators should be done internally
  • Possible settings for RandomSeeding include:
  • Automatic automatically reseed every time the function is called
    Inherited use externally seeded random numbers
    seed use an explicit integer or strings as a seed

Examples

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Basic Examples  (1)

Train a FeatureExtractorFunction on a simple dataset:

Extract features from a new example:

Extract features from a list of examples:

Scope  (5)

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:

Get Information from a trained FeatureExtractorFunction :

Find the available properties:

Get information about the feature names and training examples:

Wolfram Research (2016), FeatureExtractorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html (updated 2017).

Text

Wolfram Research (2016), FeatureExtractorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html (updated 2017).

CMS

Wolfram Language. 2016. "FeatureExtractorFunction." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2017. https://reference.wolfram.com/language/ref/FeatureExtractorFunction.html.

APA

Wolfram 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: 17-November-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: 17-November-2025]}

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