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In learning.ipynb, the attribute "attr_names" of the Dataset class is incorrectly spelled as "attrnames" in several places, which, when referenced in the code cells, causes an AttributeError as shown in the callback snipped below.
AttributeError Traceback (most recent call last)
Input In [7], in <cell line: 2>()
1 print("attrs:", iris.attrs)
----> 2 print("attrnames (by default same as attrs):", iris.attrnames)
3 print("target:", iris.target)
4 print("inputs:", iris.inputs)
AttributeError: 'DataSet' object has no attribute 'attrnames'
The text was updated successfully, but these errors were encountered:
In learning.ipynb, the attribute "attr_names" of the Dataset class is incorrectly spelled as "attrnames" in several places, which, when referenced in the code cells, causes an AttributeError as shown in the callback snipped below.
The text was updated successfully, but these errors were encountered: