deepchecks / deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Home Page:https://docs.deepchecks.com/stable

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

[Docs] Documentation contains a mistake.

arterm-sedov opened this issue · comments

Package Version: 0.17

There might be grammar and logic issues in the paragraph below (issues and suggested changes are marked in bold):

Original page: https://docs.deepchecks.com/stable/tabular/usage_guides/dataset_object.html#inferring-categorical-features

ORIGINAL TEXT

Inferring Categorical Features

.. warning::
It is highly recommended to explicitly state the categorical features or define their column type to be category.
Otherwise, the inherent limitations of the automatic, and may cause inconsistencies (misdetection, different detection between
train and test, etc.), and required tuning and adaptions.

SUGGESTED TEXT

Inferring Categorical Features

.. warning::
It is highly recommended to explicitly state the categorical features or define their column type to be category.
Otherwise, the inherent limitations of the automatic may cause inconsistencies (misdetection, different detection between
train and test, etc.) and require tuning and adaptions.