conn2res.plotting.plot_diagnostics

conn2res.plotting.plot_diagnostics(x, y, reservoir_states, trained_model, idx_features=None, n_features=None, scaler=None, palette=None, rc_params={}, fig_params={}, ax_params=[{}, {}, {}], lg_params=[{}, {}, {}], title=None, show=True, savefig=False, fname='diagnostics_curve', **kwargs)[source]

Plot decision function of readout module. Worksvonly if ‘trained_model’ is a classifier.

Parameters:

  • x (_type_) – _description_

  • y (_type_) – _description_

  • reservoir_states (_type_) – _description_

  • trained_model (_type_) – _description_

  • idx_features (_type_, optional) – _description_, by default None

  • n_features (_type_, optional) – _description_, by default None

  • scaler (_type_, optional) – _description_, by default None

  • palette (_type_, optional) – _description_, by default None

  • rc_params (dict) – dictionary of matplotlib rc parameters, by default {}

  • fig_params (dict) – dictionary of figure properties, by default {}

  • ax_params (list of dict) – list of dictionaries setting axes properties, by default [{}] * 3

  • lg_params (list of dict) – list of dictionaries setting legend, by default [{}] * 3

  • title (_type_, optional) – _description_, by default None

  • show (bool, optional) – _description_, by default True

  • savefig (bool, optional) – _description_, by default False

  • fname (_type_, optional) – _description_, by default None