10 lines
1.5 KiB
Markdown
10 lines
1.5 KiB
Markdown
# `MlDataframeAnalysisFeatureProcessor` [interface-MlDataframeAnalysisFeatureProcessor]
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| Name | Type | Description |
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| `frequency_encoding` | [MlDataframeAnalysisFeatureProcessorFrequencyEncoding](./MlDataframeAnalysisFeatureProcessorFrequencyEncoding.md) | The configuration information necessary to perform frequency encoding. |
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| `multi_encoding` | [MlDataframeAnalysisFeatureProcessorMultiEncoding](./MlDataframeAnalysisFeatureProcessorMultiEncoding.md) | 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. |
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| `n_gram_encoding` | [MlDataframeAnalysisFeatureProcessorNGramEncoding](./MlDataframeAnalysisFeatureProcessorNGramEncoding.md) | 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. |
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| `one_hot_encoding` | [MlDataframeAnalysisFeatureProcessorOneHotEncoding](./MlDataframeAnalysisFeatureProcessorOneHotEncoding.md) | The configuration information necessary to perform one hot encoding. |
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| `target_mean_encoding` | [MlDataframeAnalysisFeatureProcessorTargetMeanEncoding](./MlDataframeAnalysisFeatureProcessorTargetMeanEncoding.md) | The configuration information necessary to perform target mean encoding. |
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