# Feature Transformation

**URL:** <https://community.sparkflows.ai/t/feature-transformation/236>\
**Category:** Machine Learning\
**Created:** [December 29, 2025, 4:29pm UTC](https://community.sparkflows.ai/t/feature-transformation/236 "2025-12-29T16:29:32Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Tarika](https://avatars.discourse-cdn.com/v4/letter/t/8491ac/32.png) [@Tarika](https://community.sparkflows.ai/u/Tarika)\
**Post date:** [December 29, 2025, 4:29pm UTC](https://community.sparkflows.ai/t/feature-transformation/236/1 "2025-12-29T16:29:32Z")

</div>

Feature transformation is simply a function that **transforms features from one representation to another**. Feature transformation techniques are used for several reasons:

- Data types are not suitable to be fed into a machine learning algorithm, e.g. text, categories

- Feature values may cause problems during the learning process, e.g. data represented in different scales

- We want to reduce the number of features to plot and visualize data, speed up training or improve the accuracy of a specific model

Sparkflows provides many feature transforming nodes through Spark ML. To find the full list and learn more about them go here: [Feature Transformation — Sparkflows 3.0 documentation](https://docs.sparkflows.io/en/latest/user-guide/machine-learning/sparkml/feature-transformation.html)