Machine Learning Beginner
continuous feature
A floating-point feature with an infinite range of possible values, such as temperature or weight.
Plain English Explanation
A floating-point feature with an infinite range of possible values, such as temperature or weight. Contrast with discrete feature.
How is it used?
Practitioners refer to continuous feature when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.