Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.25, random_state = 0) X1, X2 = np.meshgrid(np.arange(start = X_set[:, 0].min() - 1, stop = X ...

fx,fy,fz = 0.0e-6,0.0,0.0 niu = 0.16667 #Boundary condition mode: 0=periodic, 1= fix pressure, 2=fix velocity; boundary pressure value (rho); boundary velocity value for vx,vy,vz bc_x_left, rho_bcxl, ...

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...