fd633602af08b199d87d222a8cfb85acea17b55a,optuna/visualization.py,,_get_intermediate_plot,#Any#,52

Before Change

    traces = []
    for __, row in dst_df.iterrows():
        trace = go.Scatter(
            x=row["intermediate_values"].index,
            y=row["intermediate_values"],
            mode="lines+markers",
            marker={
                "maxdisplayed": 10
            },
            name="Trial{}".format(row["trial_id"][0]))
        traces.append(trace)

    figure = go.Figure(data=traces, layout=layout)

After Change

        showlegend=False
    )

    trials = study.trials

    if len(trials) == 0:
        logger.warning("Study instance does not contain trials.")
        return go.Figure(data=[], layout=layout)
    if hasattr(trials[0], "intermediate_values") is False:
        logger.warning(
            "You need to set up the pruning feature to utilize plot_intermediate_values()")
        return go.Figure(data=[], layout=layout)

Instances