Basic history

In this example, we illustrate the use of the BasicHistory post-processing on the Sobieski's SSBJ problem.

The BasicHistory can plot any of the constraint or objective functions w.r.t. the optimization iterations or sampling snapshots.

from __future__ import annotations

from gemseo import execute_post
from gemseo.settings.post import BasicHistory_Settings

We can post-process the objective:

execute_post(
    "sobieski_mdf_scenario.h5",
    settings_model=BasicHistory_Settings(
        variable_names=["y_4"],
        save=False,
        show=True,
    ),
)

    INFO - 16:25:41: Importing the optimization problem from the file sobieski_mdf_scenario.h5

<gemseo.post.basic_history.BasicHistory object at 0x72a4e0e0f170>

We can also post-process the constraints:

execute_post(
    "sobieski_mdf_scenario.h5",
    settings_model=BasicHistory_Settings(
        variable_names=["g_1", "g_2", "g_3"],
        save=False,
        show=True,
    ),
)

    INFO - 16:25:42: Importing the optimization problem from the file sobieski_mdf_scenario.h5

<gemseo.post.basic_history.BasicHistory object at 0x72a4e1b8eae0>