FUNCTION
sklearn.feature_extraction
Multi-select
Status
Not started
URL
sklearn.feature_extraction.text: Text feature extraction.sklearn.feature_extraction.image: Image feature extraction.
🔍 Study Note: sklearn.feature_extraction
sklearn.feature_extraction
Feature extraction from raw data. User guide. See the Feature extraction section for further details. From images: Utilities to extract features from images. From text: Utilities to build feature v...
scikit-learn.org
User guide. See the Feature extraction section for further details.
DictVectorizer | Transforms lists of feature-value mappings to vectors. |
FeatureHasher | Implements feature hashing, aka the hashing trick. |
From images
Utilities to extract features from images.
image.PatchExtractor | Extracts patches from a collection of images. |
image.extract_patches_2d | Reshape a 2D image into a collection of patches. |
image.grid_to_graph | Graph of the pixel-to-pixel connections. |
image.img_to_graph | Graph of the pixel-to-pixel gradient connections. |
image.reconstruct_from_patches_2d | Reconstruct the image from all of its patches. |
From text
Utilities to build feature vectors from text documents.
text.CountVectorizer | Convert a collection of text documents to a matrix of token counts. |
text.HashingVectorizer | Convert a collection of text documents to a matrix of token occurrences. |
text.TfidfTransformer | Transform a count matrix to a normalized tf or tf-idf representation. |
text.TfidfVectorizer | Convert a collection of raw documents to a matrix of TF-IDF features. |
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