Error: fairness.plot_bias privileged_group with numerical values

[Nathanlauga]

Errors with numerical attributes in fairness.plot_bias.

Also check fairness.compute_metrics to handle numerical values.

privileged_group = {'SEX': [1]}
fairness.plot_bias(y_test, y_pred_a, X_test, privileged_group, pos_label=0)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-73-ecba7ab9a910> in <module>
----> 1 fairness.plot_bias(y_test, y_pred_a, X_test, privileged_group, pos_label=0)

/opt/conda/lib/python3.7/site-packages/transparentai/fairness/fairness_plots.py in plot_bias(y_true, y_pred, df, privileged_group, pos_label, regr_split, with_text, **kwargs)
    315     for attr, bias_scores in scores.items():
    316         ax = fig.add_subplot(gs[row, :])
--> 317         plot_attr_title(ax, attr, df, privileged_group)
    318 
    319         axes = [fig.add_subplot(gs[row+1+j, i])

/opt/conda/lib/python3.7/site-packages/transparentai/fairness/fairness_plots.py in plot_attr_title(ax, attr, df, privileged_group)
    137         attr, df, privileged_group, privileged=False)
    138 
--> 139     priv_text = format_priv_text(priv_values, max_char=30)
    140     unpriv_text = format_priv_text(unpriv_values, max_char=30)
    141 

/opt/conda/lib/python3.7/site-packages/transparentai/fairness/fairness_plots.py in format_priv_text(values, max_char)
     88 
     89     for val in values:
---> 90         if (len(val) + len(priv_text) > max_char) & (priv_text != ''):
     91             priv_text = priv_text[:-2] + ' and others  '
     92             break

TypeError: object of type 'int' has no len()