Notrain = (Noinst * 0.8).astype(int)
Notest = (Noinst * 0.2).astype(int)
Se_train = Se[:Notrain, :, :, :]
R_train = R[:Notrain * i, :]
R_test = R[Notrain * i:Noinst * i, :]
Se_test = Se[Notrain:Noinst, :, :, :]
mod1 = GCRFC()
mod21 = GCRFC_fast()
mod22 = GCRFC_fast()
mod23 = GCRFC_fast()
mod3 = GCRFC_fast()
mod4 = GCRFC_fast()
mod5 = GCRFC_fast()
mod6 = GCRFCNB()
mod1.alfa = np.array([3, 4])
mod1.beta = np.array([4, 5])
prob, Y, _ = mod1.predict(R, Se)
Y_test = Y[Notrain:Noinst, :]
Y_train = Y[:Notrain, :]
start_time = time.time()
mod1.fit(R_train, Se_train, Y_train, learn='TNC', maxiter=500)
time_1[k] = time.time() - start_time
start_time = time.time()
mod21.fit(R_train,
x_train_com, y_train_com, x_test, Y_test)
""" UNSTRUCTURED PREDICTORS """
Skor_com_AUC[i, :], Skor_com_AUC2[i, :], Skor_com_ACC[i, :], Skor_com_ACC2[
i, :], Skor_com_HL[
i, :], R_train, R_test, R2, Noinst_train, Noinst_test, timeUN[
i, :] = Nestrukturni_fun(x_train_un, y_train_un, x_train_st,
Y_train, x_test, Y_test, No_class)
""" STructured matrix """
Se_train, Se_test = Struktura_fun(No_class, NoGraph, R2, y_train_com,
Noinst_train, Noinst_test)
""" Model GCRFC """
Y_train = Y_train.values
Y_test = Y_test.values
start_time = time.time()
mod1 = GCRFCNB()
mod1.fit(R_train,
Se_train,
Y_train,
learn='TNC',
learnrate=6e-4,
maxiter=iteracija)
probNB, YNB = mod1.predict(R_test, Se_test)
timeNB[i] = time.time() - start_time
start_time = time.time()
mod2 = GCRFC()
mod2.fit(R_train,
Se_train,
Y_train,
learn='TNC',
i2 = np.arange(Noinst)
a = np.random.rand(Nopoint, 2)
Se = np.random.rand(Noinst, NoGraph, NodeNo, NodeNo)
Notrain = (Noinst * 0.8).astype(int)
Notest = (Noinst * 0.2).astype(int)
Se_train = Se[:Notrain, :, :, :]
R_train = R[:Notrain * NodeNo, :]
R_test = R[Notrain * NodeNo:Noinst * NodeNo, :]
Se_test = Se[Notrain:Noinst, :, :, :]
mod1 = GCRFC()
mod2 = GCRFCNB()
mod3 = GCRFC_fast()
k1 = 0
for i in rang:
k2 = 0
for j in rang:
mod1.alfa = np.array([i])
mod1.beta = np.array([j])
prob, Y, _ = mod1.predict(R, Se)
Y_test = Y[Notrain:Noinst, :]
Y_train = Y[:Notrain, :]
start_time = time.time()