ParthivNaresh

Woodwork 0.22.0 supports numeric logical type inference for `object` dtypes. This issue tracks updating any failing tests due to this change.

Woodwork updated their Boolean inference in [this](https://github.com/alteryx/woodwork/pull/1549) PR, with an additional update in [this](https://github.com/alteryx/woodwork/pull/1576) one. This issue covers two main areas of change: - Updating tests to be compatible -...

We currently sample 100,000 rows during inference. This spike investigates reducing this number and possibly including a heuristic to change sample size based on the length of the data. In...

Currently, if a user creates a Pandas dataframe and passes it into Woodwork, certain dtypes are already inferred in Pandas which makes inference significantly easier. However there might be cases...

[Here](https://woodwork.alteryx.com/en/latest/guides/custom_types_and_type_inference.html#Defining-Custom-Inference-Functions). In this section, we have `Also note that the not_upc column was identified as Categorical.`. When you look at the schema results a few lines down, `not_upc` is actually...