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[DOCS] Clarify put data frame analytics API feature processors option (
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lcawl authored Feb 18, 2021
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end::dfas-feature-bag-fraction[]

tag::dfas-feature-processors[]
Advanced configuration option.
A collection of feature preprocessors that modify one or more included fields.
The analysis uses the resulting one or more features instead of the
original document field. Multiple `feature_processors` entries can refer to the
same document fields. Automatic categorical
{ml-docs}/ml-feature-encoding.html[feature encoding] still occurs for the fields
that are unprocessed by a custom processor or that have categorical values.
Only use this if you want to override the automatic feature encoding of the
specified fields. Refer to
Advanced configuration option. A collection of feature preprocessors that modify
one or more included fields. The analysis uses the resulting one or more
features instead of the original document field. However, these features are
ephemeral; they are not stored in the destination index. Multiple
`feature_processors` entries can refer to the same document fields. Automatic
categorical {ml-docs}/ml-feature-encoding.html[feature encoding] still occurs
for the fields that are unprocessed by a custom processor or that have
categorical values. Use this property only if you want to override the automatic
feature encoding of the specified fields. Refer to
{ml-docs}/ml-feature-processors.html[{dfanalytics} feature processors] to learn
more.
end::dfas-feature-processors[]
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tag::dfas-feature-processors-ngram[]
The configuration information necessary to perform n-gram encoding. Features
written out by this encoder have the following name format:
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`.
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