lasdi.postprocess

Functions

`compute_errors`(X_pred, physics, X_test)	Compute the maximum relative errors on a parameter
`plot_prediction`(param, autoencoder, physics, sindy, ...)
`plot_gp2d`(p1_mesh, p2_mesh, gp_mean, gp_std, param_train)
`heatmap2d`(values, p1_grid, p2_grid, param_train, n_init)

lasdi.postprocess.compute_errors(X_pred, physics, X_test): Compute the maximum relative errors on a parameter

lasdi.postprocess.plot_prediction(param, autoencoder, physics, sindy, gp_dictionnary, n_samples, true, scale=1)

lasdi.postprocess.plot_gp2d(p1_mesh, p2_mesh, gp_mean, gp_std, param_train, param_labels=['p1', 'p2'], plot_shape=[6, 5], figsize=(15, 13), refine=10, cm=plt.cm.jet, margin=0.05)

lasdi.postprocess.heatmap2d(values, p1_grid, p2_grid, param_train, n_init, figsize=(10, 10), param_labels=['p1', 'p2'], title='')