import pandas as pd
import precision_MC as pmc
train_values_ex2 = []
interpolation_values_ex2 = []
for k in range(10):
train, interpolation = pmc.measure_accuracy(a=0,
b=1,
inits=pmc.example2_inits,
loss=pmc.example2_loss,
exact_function=pmc.psi_e2,
epochs=10000)
train_values_ex2.append(train)
interpolation_values_ex2.append(interpolation)
data_ex2 = {
'Train': train_values_ex2,
'Interpolation': interpolation_values_ex2
}
errors_ex2 = pd.DataFrame(data_ex2)
errors_ex2.to_csv('example2_mc_results_e10k.csv', index=False, sep='\t')
import pandas as pd
import precision_MC
train_values_ex2 = []
interpolation_values_ex2 = []
for k in range(10):
train, interpolation = precision_MC.measure_accuracy(0., 2., loss=precision_MC.example2_loss_function_single_point, bias_derivative=precision_MC.example2_bias_change,
visible_derivative=precision_MC.example2_visible_weights_change, hidden_derivative=precision_MC.example2_hidden_weights_change,
initial_value=precision_MC.example2_initial_value, vanishing_function=precision_MC.example2_boundary_vanishing, exact_function=precision_MC.psi_e2,
epochs=10000, verbose=False)
train_values_ex2.append(train)
interpolation_values_ex2.append(interpolation)
data_ex2 = {'Train': train_values_ex2, 'Interpolation': interpolation_values_ex2}
errors_ex2 = pd.DataFrame(data_ex2)
errors_ex2.to_csv('example2_mc_results_e10k.csv', index=False, sep='\t')