def callback_recovery(loc):
d = loc['dict_obj']
d.wc.append(emd(loc['dictionary'], d.generating_dict,
'chordal', scale=True))
d.wfs.append(emd(loc['dictionary'], d.generating_dict,
'fubinistudy', scale=True))
d.hc.append(hausdorff(loc['dictionary'], d.generating_dict,
'chordal', scale=True))
d.hfs.append(hausdorff(loc['dictionary'], d.generating_dict,
'fubinistudy', scale=True))
d.bd.append(beta_dist(d.generating_dict, loc['dictionary']))
d.dr99.append(detection_rate(loc['dictionary'],
d.generating_dict, 0.99))
d.dr97.append(detection_rate(loc['dictionary'],
d.generating_dict, 0.97))
def callback_recovery(loc):
d = loc["dict_obj"]
d.wc.append(
emd(loc["dictionary"], d.generating_dict, "chordal", scale=True))
d.wfs.append(
emd(loc["dictionary"], d.generating_dict, "fubinistudy", scale=True))
d.hc.append(
hausdorff(loc["dictionary"], d.generating_dict, "chordal", scale=True))
d.hfs.append(
hausdorff(loc["dictionary"],
d.generating_dict,
"fubinistudy",
scale=True))
d.bd.append(beta_dist(d.generating_dict, loc["dictionary"]))
d.dr99.append(detection_rate(loc["dictionary"], d.generating_dict, 0.99))
d.dr97.append(detection_rate(loc["dictionary"], d.generating_dict, 0.97))
def test_inhomogeneous_dims():
idx = arange(n_dims)
for g in ['chordal_principal_angles', 'binetcauchy', 'geodesic']:
for i in range(n_dims, 0, -1):
assert_almost_equal(
0., emd(dm, [a[:, idx[:i]] for a in dm], g, scale=True))
assert_almost_equal(
0., hausdorff(dm, [a[:, idx[:i]] for a in dm], g, scale=True))
for g in ["chordal", "fubinistudy", "frobenius"]:
assert_raises(ValueError, emd, dm, [a[:, :-1] for a in dm], g)
assert_raises(ValueError, hausdorff, dm, [a[:, :-1] for a in dm], g)
def callback_recovery(loc):
d = loc['dict_obj']
d.wc.append(emd(loc['dictionary'], d.generating_dict,
'chordal', scale=True))
d.wfs.append(emd(loc['dictionary'], d.generating_dict,
'fubinistudy', scale=True))
d.wcpa.append(emd(loc['dictionary'], d.generating_dict,
'chordal_principal_angles', scale=True))
d.wbc.append(emd(loc['dictionary'], d.generating_dict,
'binetcauchy', scale=True))
d.wg.append(emd(loc['dictionary'], d.generating_dict,
'geodesic', scale=True))
d.wfb.append(emd(loc['dictionary'], d.generating_dict,
'frobenius', scale=True))
d.hc.append(hausdorff(loc['dictionary'], d.generating_dict,
'chordal', scale=True))
d.hfs.append(hausdorff(loc['dictionary'], d.generating_dict,
'fubinistudy', scale=True))
d.hcpa.append(hausdorff(loc['dictionary'], d.generating_dict,
'chordal_principal_angles', scale=True))
d.hbc.append(hausdorff(loc['dictionary'], d.generating_dict,
'binetcauchy', scale=True))
d.hg.append(hausdorff(loc['dictionary'], d.generating_dict,
'geodesic', scale=True))
d.hfb.append(hausdorff(loc['dictionary'], d.generating_dict,
'frobenius', scale=True))
d.dr99.append(detectionRate(loc['dictionary'],
d.generating_dict, 0.99))
d.dr97.append(detectionRate(loc['dictionary'],
d.generating_dict, 0.97))
def callback_recovery(loc):
d = loc["dict_obj"]
d.wc.append(emd(loc["dictionary"], d.generating_dict, "chordal", scale=True))
d.wfs.append(emd(loc["dictionary"], d.generating_dict, "fubinistudy", scale=True))
d.wcpa.append(
emd(loc["dictionary"], d.generating_dict, "chordal_principal_angles", scale=True)
)
d.wbc.append(emd(loc["dictionary"], d.generating_dict, "binetcauchy", scale=True))
d.wg.append(emd(loc["dictionary"], d.generating_dict, "geodesic", scale=True))
d.wfb.append(emd(loc["dictionary"], d.generating_dict, "frobenius", scale=True))
d.hc.append(hausdorff(loc["dictionary"], d.generating_dict, "chordal", scale=True))
d.hfs.append(
hausdorff(loc["dictionary"], d.generating_dict, "fubinistudy", scale=True)
)
d.hcpa.append(
hausdorff(
loc["dictionary"], d.generating_dict, "chordal_principal_angles", scale=True
)
)
d.hbc.append(
hausdorff(loc["dictionary"], d.generating_dict, "binetcauchy", scale=True)
)
d.hg.append(hausdorff(loc["dictionary"], d.generating_dict, "geodesic", scale=True))
d.hfb.append(hausdorff(loc["dictionary"], d.generating_dict, "frobenius", scale=True))
d.dr99.append(detection_rate(loc["dictionary"], d.generating_dict, 0.99))
d.dr97.append(detection_rate(loc["dictionary"], d.generating_dict, 0.97))
def test_inhomogeneous_dims():
idx = arange(n_dims)
for g in ['chordal_principal_angles', 'binetcauchy', 'geodesic']:
for i in range(n_dims, 0, -1):
assert_almost_equal (0., emd(dm, [a[:,idx[:i]] for a in dm],
g, scale=True))
assert_almost_equal(0., hausdorff(dm, [a[:,idx[:i]] for a in dm],
g, scale=True))
for g in ["chordal", "fubinistudy", "frobenius"]:
assert_raises(ValueError, emd, dm,
[a[:,:-1] for a in dm], g)
assert_raises(ValueError, hausdorff, dm,
[a[:,:-1] for a in dm], g)
