What are some alternative machine learning libraries for real-time applications?

auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Contents ... Baseline models are so common and important that Scikit-Learn actually provides a class of these models. There is a base class titled dummy , and it ... Mar 19, 2025 ... NVIDIA cuML's zero-code-change capability allows scikit-learn users to accelerate their machine learning workflows on NVIDIA GPUs without ... Aug 28, 2021 ... Essentially, sklearn is a dummy project on PyPi that will in turn install scikit-learn . Therefore, if you uninstall sklearn you are just ... Jul 28, 2021 ... Yes, scikit-learn can use for production, or any small python object like scikit-learn can use for production. For API, just scale up ... Jul 25, 2022 ... The imputer is an estimator used to fill the missing values in datasets. For numerical values, it uses mean, median, and constant. For ... Aug 17, 2023 ... Top 10 use cases of scikit-learn: · Classification · Regression · Clustering · Dimensionality Reduction · Feature Selection · Model Selection ... The error happens when you try to import Python module sklearn. The Python complains that sklearn module can't be importend because its path is not present in ... Jul 30, 2023 ... The streamlit app is working in my local machine, but when I deploy it gives error like no module named sklearn in Prediction.py. I have entered scikit-learn ... Repository files navigation ... scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The ...