f.target_label] ==  str(self.target_label_positive)]
            df0 = df[df[self.target_label] ==  str(self.target_label_negative)]
            col1 = df1.replace(&#39;&#39;, pd.NA).dropna(axis=1, how=&#39;all&#39;).columns
            col0 = df0.replace(&#39;&#39;, pd.NA).dropna(axis=1, how=&#39;all&#39;).columns
            col = [x for x in col0 if x in col1]
            return df[col]
        else:
            return remove_identical_columns(df_)    </code></pre>
</details>
<h3>Methods</h3>
<dl>
<dt id