Ejemplos de Dataset_Generator.get_swiss_roll_dataset en Python

Ejemplo n.º 1

def main():
    # X = np.arange(9).reshape(9,1).astype(np.float64)
    X = np.array(dg.get_swiss_roll_dataset(5000), np.float64)
    print("The input data:")
    print(X) # for test only
    Y, error = locally_linear_embedding(X, 5, 2)
    print("The output data:")
    print(Y) # for test only
    print(error) # for test only

Ejemplo n.º 2

hd_dataset = dg.get_hd_dataset(5000)
reduced_hd = eval.pca_dim_reduction(hd_dataset, 3)
ploter.plot3D(reduced_hd)

broken_swiss_roll_dataset = dg.get_broken_swiss_roll_dataset(5000)
ploter.plot3D(broken_swiss_roll_dataset)
reduced_broken_swiss = eval.pca_dim_reduction(broken_swiss_roll_dataset, 2)
ploter.plot2D(reduced_broken_swiss)

broken_helix_dataset = dg.get_helix_dataset(5000)
ploter.plot3D(broken_helix_dataset)
reduced_helix = eval.pca_dim_reduction(broken_helix_dataset, 2)
ploter.plot2D(reduced_helix)

swiss_roll_dataset = dg.get_swiss_roll_dataset(5000)
ploter.plot3D(swiss_roll_dataset)
reduced_swiss = eval.pca_dim_reduction(swiss_roll_dataset, 2)
ploter.plot2D(reduced_swiss)

twin_peaks_dataset = dg.get_twin_peaks(5000)
ploter.plot3D(twin_peaks_dataset)
reduced_twin_peaks = eval.pca_dim_reduction(twin_peaks_dataset, 2)
ploter.plot2D(reduced_twin_peaks)

# ***********************************scripts to evaluate Trust

# Swiss roll
import Dataset_Generator as dg
import Evaluation as eval