Exemple #1
0
def tearDown():
    dataset_store.delete('yeast')
Exemple #2
0
def tearDown():
    dataset_store.delete('abalone')
Exemple #3
0
def tearDown():
    dataset_store.delete('mturk')
Exemple #4
0
def tearDown():
    dataset_store.delete('adult')
Exemple #5
0
def tearDown():
    dataset_store.delete('mturk')
Exemple #6
0
def tearDown():
    dataset_store.delete("cadata")
Exemple #7
0
def tearDown():
    dataset_store.delete('letor_mq2007')
Exemple #8
0
def tearDown():
    dataset_store.delete('web')
Exemple #9
0
def tearDown():
    dataset_store.delete('corrupted_mnist')
Exemple #10
0
def tearDown():
    dataset_store.delete('corel5k')
Exemple #11
0
def tearDown():
    dataset_store.delete('newsgroups')
Exemple #12
0
def tearDown():
    dataset_store.delete('housing')
Exemple #13
0
def tearDown():
    dataset_store.delete('bibtex')
Exemple #14
0
def tearDown():
    dataset_store.delete('occluded_faces_lfw')
Exemple #15
0
def tearDown():
    dataset_store.delete('scene')
Exemple #16
0
def tearDown():
    dataset_store.delete('medical')
Exemple #17
0
def tearDown():
    dataset_store.delete('nips')
Exemple #18
0
def tearDown():
    dataset_store.delete('binarized_mnist')
Exemple #19
0
def tearDown():
    dataset_store.delete('mnist')
Exemple #20
0
def tearDown():
    dataset_store.delete('mnist_rotated')
Exemple #21
0
def tearDown():
    dataset_store.delete('heart')
Exemple #22
0
def tearDown():
    dataset_store.delete('ocr_letters')
Exemple #23
0
def tearDown():
    dataset_store.delete('mnist_rotated_background_images')
Exemple #24
0
def tearDown():
    dataset_store.delete('corrupted_ocr_letters')
Exemple #25
0
def tearDown():
    dataset_store.delete('medical')
Exemple #26
0
def tearDown():
    dataset_store.delete("rcv1")
Exemple #27
0
def tearDown():
    dataset_store.delete('web')
Exemple #28
0
def tearDown():
    dataset_store.delete('mnist_background_random')
Exemple #29
0
def tearDown():
    dataset_store.delete('heart')
Exemple #30
0
def tearDown():
    dataset_store.delete('sarcos')
Exemple #31
0
def tearDown():
    dataset_store.delete('convex')
Exemple #32
0
def tearDown():
    dataset_store.delete('housing')
Exemple #33
0
def tearDown():
    dataset_store.delete('bibtex')
Exemple #34
0
def tearDown():
    dataset_store.delete('scene')
Exemple #35
0
def tearDown():
    dataset_store.delete('mnist_basic')
Exemple #36
0
def tearDown():
    dataset_store.delete('rectangles')
Exemple #37
0
def tearDown():
    dataset_store.delete('connect4')
Exemple #38
0
def tearDown():
    dataset_store.delete('newsgroups')
Exemple #39
0
def tearDown():
    dataset_store.delete('face_completion_lfw')
Exemple #40
0
def tearDown():
    dataset_store.delete('rectangles')
Exemple #41
0
def tearDown():
    dataset_store.delete('mediamill')
Exemple #42
0
def tearDown():
    dataset_store.delete('occluded_mnist')
Exemple #43
0
def tearDown():
    dataset_store.delete('binarized_mnist')
Exemple #44
0
def tearDown():
    dataset_store.delete('convex')
Exemple #45
0
def tearDown():
    dataset_store.delete('mediamill')
Exemple #46
0
def tearDown():
    dataset_store.delete('connect4')
Exemple #47
0
def tearDown():
    dataset_store.delete('mushrooms')
Exemple #48
0
def tearDown():
    dataset_store.delete('face_completion_lfw')
Exemple #49
0
def tearDown():
    dataset_store.delete('letor_mq2008')
Exemple #50
0
def tearDown():
    dataset_store.delete('majmin')
Exemple #51
0
def tearDown():
    dataset_store.delete('mnist_basic')
Exemple #52
0
def tearDown():
    dataset_store.delete('yeast')