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3.6.10.14. The eigenfaces example: chaining PCA and SVMs ...
3.6.10.14. The eigenfaces example: chaining PCA and SVMs ...

Ideally, we would use a dataset consisting of a subset of the Labeled Faces in the Wild data that is available with sklearn.datasets.,fetch_lfw_people,(). However, this is a relatively large download (~200MB) so we will do the tutorial on a simpler, less rich dataset.

sklearn.datasets.fetch_lfw_people — scikit-learn 0.18.dev0 ...
sklearn.datasets.fetch_lfw_people — scikit-learn 0.18.dev0 ...

This documentation is for scikit-learn version 0.18.dev0 — Other versions. If you use the software, please consider citing scikit-learn.. sklearn.datasets.,fetch_lfw_people,. Examples using sklearn.datasets.,fetch_lfw_people

Python Examples of sklearn.datasets.fetch_openml
Python Examples of sklearn.datasets.fetch_openml

.,fetch_lfw_people,() .load_boston() .make_blobs() .load_diabetes() .,fetch,_mldata() .make_classification() .,fetch,_20newsgroups() .load_breast_cancer() .make_circles() .load_files() .,fetch,_olivetti_faces() .,fetch,_20newsgroups_vectorized() .load_svmlight_file() .make_regression() .make_moons() .make_spd_matrix() .,fetch,_california_housing()

The Labeled Faces in the Wild face recognition dataset ...
The Labeled Faces in the Wild face recognition dataset ...

Both for the fetch_lfw_people and fetch_lfw_pairs function it is possible to get an additional dimension with the RGB color channels by passing color=True, in that case the shape will be (2200, 2, 62, 47, 3).

In Depth: Principal Component Analysis | Python Data ...
In Depth: Principal Component Analysis | Python Data ...

from sklearn.datasets import ,fetch_lfw_people, faces = ,fetch_lfw_people, (min_faces_per_person = 60) print (faces. target_names) print (faces. images. shape)

ML | Face Recognition Using PCA Implementation - GeeksforGeeks
ML | Face Recognition Using PCA Implementation - GeeksforGeeks

26/3/2020, · Now we import the LFW_people dataset using sklearn’s fetch_lfw_people function API. LFW_prople is the preprocess excerpt of LFW. It contains 13233 images of 5749 classes of shape 125 * 94. This function provides an parameter min_faces_per_person.

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