def claim_n_points(self, nnn, newclazz):
working_set = self.working_set
if self.classcounts_ws[newclazz] == self.size_ws:
raise Exception('The whole working set already belongs to class ' +
str(newclazz))
gradient_vec = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(
self.Y_ws, gradient_vec, self.classcounts_ws, self.classvec_ws,
self.size_ws, self.size, self.DVTY, self.sqrtRx2_ws,
self.sqrtR.shape[1], newclazz, tempvec, self.Y.shape[1])
claiminds = np.argsort(gradient_vec)
clazzcountchanges = np.zeros((self.labelcount), dtype=np.int32)
_interactive_rls_classifier.claim_n_points(
self.Y_ws, gradient_vec, self.classcounts_ws, self.classvec_ws,
claiminds, nnn, self.DVTY, self.sqrtRx2_ws, self.sqrtR.shape[1],
newclazz, clazzcountchanges)
self.Y[working_set] = self.Y_ws
self.classvec[working_set] = self.classvec_ws
#self.classcounts[oldclazz] -= nnn
self.classcounts[newclazz] += nnn
for i in range(self.labelcount):
self.classcounts[i] += clazzcountchanges[i]
def compute_steepness_vector(self):
gradient_vec0 = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(self.Y_ws,
gradient_vec0,
self.classcounts_ws,
self.classvec_ws,
self.size_ws,
self.size,
self.DVTY,
self.sqrtRx2_ws,
self.sqrtR.shape[1],
0,
tempvec,
self.Y.shape[1])
gradient_vec1 = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(self.Y_ws,
gradient_vec1,
self.classcounts_ws,
self.classvec_ws,
self.size_ws,
self.size,
self.DVTY,
self.sqrtRx2_ws,
self.sqrtR.shape[1],
1,
tempvec,
self.Y.shape[1])
steepness_vector = np.zeros((self.size_ws))
steepness_vector[0:self.classcounts_ws[1]] = np.sort(gradient_vec0)[0:self.classcounts_ws[1]][::-1]
steepness_vector[self.classcounts_ws[1]:] = np.sort(gradient_vec1)[0:self.classcounts_ws[0]]
#print steepness_vector
return steepness_vector
def compute_steepness_vector(self):
gradient_vec0 = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(
self.Y_ws, gradient_vec0, self.classcounts_ws, self.classvec_ws,
self.size_ws, self.size, self.DVTY, self.sqrtRx2_ws,
self.sqrtR.shape[1], 0, tempvec, self.Y.shape[1])
gradient_vec1 = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(
self.Y_ws, gradient_vec1, self.classcounts_ws, self.classvec_ws,
self.size_ws, self.size, self.DVTY, self.sqrtRx2_ws,
self.sqrtR.shape[1], 1, tempvec, self.Y.shape[1])
steepness_vector = np.zeros((self.size_ws))
steepness_vector[0:self.classcounts_ws[1]] = np.sort(
gradient_vec0)[0:self.classcounts_ws[1]][::-1]
steepness_vector[self.classcounts_ws[1]:] = np.sort(
gradient_vec1)[0:self.classcounts_ws[0]]
#print steepness_vector
return steepness_vector
def claim_n_points(self, nnn, newclazz):
working_set = self.working_set
if self.classcounts_ws[newclazz] == self.size_ws:
raise Exception('The whole working set already belongs to class '+str(newclazz))
gradient_vec = np.zeros((self.size_ws))
tempvec = np.zeros((self.Y.shape[1]))
_interactive_rls_classifier.compute_gradient(self.Y_ws,
gradient_vec,
self.classcounts_ws,
self.classvec_ws,
self.size_ws,
self.size,
self.DVTY,
self.sqrtRx2_ws,
self.sqrtR.shape[1],
newclazz,
tempvec,
self.Y.shape[1])
claiminds = np.argsort(gradient_vec)
clazzcountchanges = np.zeros((self.labelcount), dtype = np.int32)
_interactive_rls_classifier.claim_n_points(self.Y_ws,
gradient_vec,
self.classcounts_ws,
self.classvec_ws,
claiminds,
nnn,
self.DVTY,
self.sqrtRx2_ws,
self.sqrtR.shape[1],
newclazz,
clazzcountchanges)
self.Y[working_set] = self.Y_ws
self.classvec[working_set] = self.classvec_ws
#self.classcounts[oldclazz] -= nnn
self.classcounts[newclazz] += nnn
for i in range(self.labelcount):
self.classcounts[i] += clazzcountchanges[i]
