ca10c185d94470054d693f19e7691523dbe3ec55,skll/data/readers.py,NDJReader,_sub_read,#NDJReader#Any#,434

Before Change

            If IDs cannot be converted to floats, and ``ids_to_floats``
            is ``True``.
        
        for example_num, line in enumerate(f):
            // Remove extraneous whitespace
            line = line.strip()

            // If this is a comment line or a blank line, move on
            if line.startswith("//") or not line:
                continue

            // Process good lines
            example = json.loads(line)
            // Convert all IDs to strings initially,
            // for consistency with csv and megam formats.
            curr_id = str(example.get("id",
                                      "EXAMPLE_{}".format(example_num)))
            class_name = (safe_float(example["y"],
                                     replace_dict=self.class_map)
                          if "y" in example else None)
            example = example["x"]

            if self.ids_to_floats:
                try:
                    curr_id = float(curr_id)
                except ValueError:
                    raise ValueError(("You set ids_to_floats to true, but" +
                                      " ID {} could not be converted to " +
                                      "float").format(curr_id))

            yield curr_id, class_name, example


class MegaMReader(Reader):

    
    Reader to create a ``FeatureSet`` instance from  a MegaM -fvals file.

After Change

        // if it"s PY2 and `id` is in the
        // data frame, make sure it"s a string
        if PY2 and "id" in df:
            df["id"] = df["id"].astype(str)

        // convert the features to a
        // list of dictionaries
        features = df["x"].tolist()
        return self._parse_dataframe(df,
                                     "id" if "id" in df else None,
                                     "y" if "y" in df else None,

Instances