sklearn.utils.extmath
.density¶
- sklearn.utils.extmath.density(w)[source]¶
Compute density of a sparse vector.
- Parameters:
- w{ndarray, sparse matrix}
The input data can be numpy ndarray or a sparse matrix.
- Returns:
- float
The density of w, between 0 and 1.
Examples
>>> from scipy import sparse >>> from sklearn.utils.extmath import density >>> X = sparse.random(10, 10, density=0.25, random_state=0) >>> density(X) 0.25
Examples using sklearn.utils.extmath.density
¶
![](../../_images/sphx_glr_plot_document_classification_20newsgroups_thumb.png)
Classification of text documents using sparse features
Classification of text documents using sparse features