Python sklearn.datasets.fetch_olivetti_faces() Examples

The following are 2 code examples of sklearn.datasets.fetch_olivetti_faces(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module sklearn.datasets , or try the search function .
Example #1
Source File: skimage_lbp_simple.py    From optuna with MIT License 7 votes vote down vote up 
def load_data():
    rng = np.random.RandomState(0)
    dataset = fetch_olivetti_faces(shuffle=True, random_state=rng)
    faces = dataset.images
    target = dataset.target
    classes = np.unique(target)
    classes.sort()

    ref_index = np.argmax(target == classes[:, None], axis=1)
    valid_index = np.delete(np.arange(len(faces)), ref_index)

    x_ref = faces[ref_index]
    y_ref = target[ref_index]
    x_valid = faces[valid_index]
    y_valid = target[valid_index]
    return x_ref, x_valid, y_ref, y_valid
Example #2
Source File: svd.py    From ml_code with Apache License 2.0 5 votes vote down vote up 
def getImgAsMat(index):
    ds = datasets.fetch_olivetti_faces()
    return np.mat(ds.images[index])