René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"On-demand feature view cannot handle boolean Pandas native type","articleBody":"## Expected Behavior \r\nAfter applying some extra transformation steps within on-demand feature view decorator, the returned dataframe as Pandas DataFrame, which contains couple of `boolean` type columns (not `bool`). I was expecting type mapping mechanism can internally infer them as bool type also.\r\n\r\n## Current Behavior\r\nIt throws exception right here [line 201](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/type_map.py#L201)\r\n\r\n\u003cimg width=\"474\" alt=\"image\" src=\"https://user-images.githubusercontent.com/22145541/206345466-e257353b-9f5a-4465-b714-52ae602bbb68.png\"\u003e\r\n\r\n## Steps to reproduce\r\n- Use on_demand_feature_view \r\n- transform the input dataframe and cast some columns as `boolean` type\r\n- return immediately \r\n- apply the created on-demand view\r\n\r\n### Specifications\r\n\r\n- Version: 0.27.0\r\n- Platform: Linux/AMD64\r\n- Subsystem: Ubuntu\r\n\r\n## Possible Solution\r\nSimple add a `boolean` mapping below this [line](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/type_map.py#L149)\r\n","author":{"url":"https://github.com/sudohainguyen","@type":"Person","name":"sudohainguyen"},"datePublished":"2022-12-08T03:08:13.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/3382/feast/issues/3382"}