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):
After Change
The features for the features set.
with open(f, "r" if PY3 else "rb") as buff:
lines = [json.loads(line.strip()) for line in buff
if line.strip() and not line.startswith("//")]
// create a data frame; if it"s empty,
