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21 Δεκ 2017 · The more reliable and way more flexible way is to do the prediction in Python using sklearn and communicate with your C# program via files or (better) a web service. Olivier Grisel (one of the sklearn authors) concisely describes your options in this post.
23 Σεπ 2013 · I am trying to import scikit-learn in a C# (console) application. I am using Python Tools for Visual Studio and IronPython 2.7.3. I managed to run an external python script and I also managed to import numpy by declaring the python path: "C:\Python27\Lib\site-packages\"
4 Ιουλ 2020 · In this article, we’ll look at a better way to bridge the technology gap between Data Scientists and App Developers using the ONNX Model format and the ONNX Runtime. Specifically, we’ll show how you can build and train a model using Sci-kit Learn, then use that same model to perform real-time inference in a .NET Core Web API.
SciSharp provides ports and bindings to cutting edge Machine Learning frameworks like TensorFlow, Keras, PyTorch, Numpy and many more in .NET Core.
26 Ιαν 2021 · However, ro.py allows you to use the Roblox API without using actual ro.py components, and you can send requests without the extra hassle of ROBLOSECURITY cookies, X-CSRF, and other Roblox API quirks.
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed.
12 Απρ 2024 · Scikit-learn stands out as a powerful and versatile machine learning library for Python developers. Its ease of use, extensive algorithm support, and robust tools for data preprocessing and model evaluation make it a go-to choice for both beginners and experts in the field.
