Error handling for invalid dataset type when creating models. #2328
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| @@ -90,6 +90,7 @@ def _find_only_column_of_type(sframe, target_type, type_name, col_name): | |||
| raised. The name and type of the target column should be provided as | |||
| strings for the purpose of error feedback. | |||
| """ | |||
| _raise_error_if_not_sframe(sframe,"dataset") | |||
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If the sframe variable is not an SFrame, this will raise an error message claiming the name of the input parameter was "dataset". I don't think we want to assume the input parameter will always be name "dataset".
Sadly, I think we'll need to add this check to each .create method that doesn't already have it.
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Just fixed all files which didn't check the type error.
| @@ -220,6 +220,8 @@ def create(dataset, target, feature=None, model = 'resnet-50', | |||
| ImageClassifier | |||
| """ | |||
| start_time = _time.time() | |||
| if not isinstance(dataset,_tc.SFrame): | |||
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Nit: you should have a space after the comma.
| @@ -101,6 +101,8 @@ def create(dataset, label = None, feature = None, model = 'resnet-50', verbose = | |||
| [500 rows x 4 columns] | |||
| """ | |||
| start_time = _time.time() | |||
| if not isinstance(dataset,_tc.SFrame): | |||
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Nit: same as previous comment.
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Just fixed it
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Here too use https://help.github.com/en/articles/closing-issues-using-keywords to refer the #1978, and give the PR and commit message more descriptive text
jakesabathia2
changed the title
Just add one line to check the datatype for sframe,
since some codes don't check datatype for the dataset before passing it into _find_only_column_of_type()
Close #1978