Scikit-learn: Difference between revisions

Revision as of 05:34, 16 October 2024

Revision as of 08:40, 16 October 2024

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==Implementation==

scikit-learn is largely written in Python, and uses [[NumPy]] extensively for high-performance linear algebra and array operations. Furthermore, some core algorithms are written in [[Cython]] to improve performance. Support vector machines are implemented by a Cython wrapper aroudaround [[LIBSVM]]; logistic regression and linear support vector machines by a similar wrapper around [[LIBLINEAR]]. In such cases, extending these methods with Python may not be possible.

scikit-learn integrates well with many other Python libraries, such as [[Matplotlib]] and [[plotly]] for plotting, [[NumPy]] for array vectorization, [[Pandas (software)|Pandas]] dataframes, [[SciPy]], and many more.