Completes OPEN-3551 Remove missing value validation from the dataset upload process

Author: gustavocidornelas

openlayer/validators.py

@@ -556,12 +556,6 @@ def _validate_dataset_and_config_consistency(self):
             text_column_name = self.dataset_config.get("textColumnName")
             predictions_column_name = self.dataset_config.get("predictionsColumnName")
 
-            if self._contains_null_values(dataset_df):
-                dataset_and_config_consistency_failed_validations.append(
-                    "The dataset contains null values, which are currently not supported. "
-                    "Please provide a dataset without null values."
-                )
-
             if self._contains_unsupported_dtypes(dataset_df):
                 dataset_and_config_consistency_failed_validations.append(
                     "The dataset contains unsupported dtypes. The supported dtypes are "
@@ -698,11 +692,6 @@ def _validate_dataset_and_config_consistency(self):
             dataset_and_config_consistency_failed_validations
         )
 
-    @staticmethod
-    def _contains_null_values(dataset_df: pd.DataFrame) -> bool:
-        """Checks whether the dataset contains null values."""
-        return dataset_df.isnull().values.any()
-
     @staticmethod
     def _labels_not_zero_indexed(
         dataset_df: pd.DataFrame, label_column_name: str, class_names: List[str]