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Return None where no predictions are available

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abigailt 2022-07-12 09:45:15 +03:00 • committed by abigailgold
parent 00f9c16863
commit bc28f7f26a
1 changed files with 3 additions and 3 deletions
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6
apt/utils/datasets/datasets.py
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@ -258,7 +258,7 @@ class ArrayDataset(Dataset):
:return: predictions as numpy array :return: predictions as numpy array
""" """
raise NotImplementedError return None
class DatasetWithPredictions(Dataset): class DatasetWithPredictions(Dataset):
@ -333,7 +333,7 @@ class PytorchData(Dataset):
if self.is_pandas: if self.is_pandas:
self.features_names = x.columns self.features_names = x.columns
if y is not None and len(self._x) != len(self._y): if self._y is not None and len(self._x) != len(self._y):
raise ValueError('Non equivalent lengths of x and y') raise ValueError('Non equivalent lengths of x and y')
if self._y is not None: if self._y is not None:
@ -363,7 +363,7 @@ class PytorchData(Dataset):
:return: predictions as numpy array :return: predictions as numpy array
""" """
raise NotImplementedError return None
def get_sample_item(self, idx: int) -> Tensor: def get_sample_item(self, idx: int) -> Tensor:
""" """