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# display difference in coefficients if both models have this information
display(Markdown("### Standardized & relative coefficients"))
df_coefs_diff = combine_old_new_results(outputs_old['df_coef'], outputs_new['df_coef'], 'coefs')
if not df_coefs_diff.empty:
    display(HTML(df_coefs_diff.to_html(index=True, classes=['alternate_colors3_groups'], float_format=float_format_func)))
    section_empty=False
else:
    display(Markdown(no_info_str))


    

In [ ]:

    

if 'betas' in figures_old:
    markdown_str = '''### Feature weight graphs for the old model ({})'''.format(experiment_id_old)
    Markdown(markdown_str)
    if use_thumbnails:
        show_thumbnail(figures_old['betas'], next(id_generator))
    else:
        display(SVG(filename=figures_old['betas']))


    

In [ ]:

    

if 'betas' in figures_new:
    markdown_str = '''### Feature weight graphs for the new model ({})'''.format(experiment_id_new)
    display(Markdown(markdown_str))
    if use_thumbnails:
        show_thumbnail(figures_new['betas'], next(id_generator))
    else:
        display(SVG(filename=figures_new['betas']))


    

In [ ]:

    

df_model_fit_diff = combine_old_new_results(outputs_old['df_model_fit'], outputs_new['df_model_fit'], 'model_fit')
if not df_model_fit_diff.empty:
    markdown_str = '''### Model fit for old and new model'''
    display(Markdown(markdown_str))
    display(HTML(df_model_fit_diff.to_html(index=False, classes=['alternate_colors3_groups'], float_format=float_format_func)))