046f6b64c1ac5cb6b03e5ee3cca26f9ddc84ae95,auto_ml/utils.py,BasicDataCleaning,turn_strings_to_floats,#BasicDataCleaning#Any#Any#,34

Before Change

            else:
                for row in X:
                    for key, val in row.items():
                        try:
                            row[key] = float(val)
                        except:
                            pass

        return X


    def transform(self, X, y=None):

After Change

                col_desc = self.column_descriptions.get(key)
                if col_desc == "categorical":
                    row[key] = str(val)
                elif col_desc in (None, "continuous", "numerical", "float", "int"):
                    row[key] = float(val)
                else:
                    // covers cases for dates, target, etc.

Instances