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Feature extraction from text and images.

FUNCTION

sklearn.feature_extraction

Multi-select
Status
Not started
URL
  • sklearn.feature_extraction.text: Text feature extraction.
  • sklearn.feature_extraction.image: Image feature extraction.

šŸ” Study Note: sklearn.feature_extraction

User guide.Ā See theĀ Feature extractionĀ 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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DictVectorizer