leaspy.io.logs.visualization.plotter

Classes

Plotter

Class defining some plotting tools.

Module Contents

class Plotter(output_path=None)

Class defining some plotting tools.

Parameters:

output_pathstr (optional)

Folder where plots will be saved. If None, default to current working directory.

Parameters:

output_path (Optional[str])

output_path = None

plt_show()

plot_mean_trajectory(model, *, n_pts=100, n_std_left=3, n_std_right=6, **kwargs)

Parameters:

• model (McmcSaemCompatibleModel)

• n_pts (int)

• n_std_left (int)

• n_std_right (int)

plot_mean_validity(model, results, **kwargs)

Parameters:

model (McmcSaemCompatibleModel)

Return type:

None

plot_patient_trajectory(model, results, indices, **kwargs)

Parameters:

model (McmcSaemCompatibleModel)

Return type:

None

plot_from_individual_parameters(model, indiv_parameters, timepoints, **kwargs)

Parameters:

• model (McmcSaemCompatibleModel)

• indiv_parameters (leaspy.utils.typing.DictParamsTorch)

• timepoints (Tensor)

Return type:

None

plot_distribution(results, parameter, cofactor=None, **kwargs)

Parameters:

parameter (str)

plot_correlation(results, parameter_1, parameter_2, cofactor=None, **kwargs)

plot_patients_mapped_on_mean_trajectory(model, results, *, n_std_left=2, n_std_right=4, n_pts=100)

Parameters:

• model (McmcSaemCompatibleModel)

• n_std_left (int)

• n_std_right (int)

• n_pts (int)

Return type:

None

classmethod plot_error(path, dataset, model, param_ind, colors=None, labels=None)

Parameters:

model (McmcSaemCompatibleModel)

classmethod plot_patient_reconstructions(path, dataset, model, param_ind, *, max_patient_number=5, attribute_type=None)

Parameters:

• path (str)

• dataset (Dataset)

• model (McmcSaemCompatibleModel)

• param_ind (leaspy.utils.typing.DictParamsTorch)

• max_patient_number (int)

static plot_param_ind(path, param_ind)

static plot_convergence_model_parameters(path, path_saveplot_1, path_saveplot_2, model)