Clean up RepresentablePredictor (#2967)

src/gluonts/model/predictor.py

@@ -26,7 +26,7 @@
 
 import gluonts
 from gluonts.core import fqname_for
-from gluonts.core.component import equals, from_hyperparameters, validated
+from gluonts.core.component import equals, from_hyperparameters
 from gluonts.core.serde import dump_json, load_json
 from gluonts.dataset.common import DataEntry, Dataset
 from gluonts.model.forecast import Forecast
@@ -135,23 +135,18 @@ def from_inputs(cls, train_iter, **params):
 
 class RepresentablePredictor(Predictor):
  """
- An abstract predictor that can be subclassed by models that are not based
- on Gluon. Subclasses should have @validated() constructors.
- (De)serialization and value equality are all implemented on top of the.
+ An abstract predictor that can be subclassed by framework-specific models.
+ Subclasses should have ``@validated()`` constructors:
+ (de)serialization and equality test are all implemented on top of its logic.
 
- @validated() logic.
  Parameters
  ----------
  prediction_length
  Prediction horizon.
+ lead_time
+ Prediction lead time.
  """
 
- @validated()
- def __init__(self, prediction_length: int, lead_time: int = 0) -> None:
- super().__init__(
- lead_time=lead_time, prediction_length=prediction_length
- )
-
  def predict(self, dataset: Dataset, **kwargs) -> Iterator[Forecast]:
  for item in dataset:
  yield self.predict_item(item)