Αποτελέσματα Αναζήτησης
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\"
27 Ιουλ 2023 · roblox-pyc comes with a built-in package manager which allows you to use pip (3), luarocks, and wally packages alongside the packages made specifically for roblox-pyc. If you are still learning Lua, you can embed lua into python or use Lua alongside the included languages.
15 Σεπ 2024 · You can leverage the capabilities of Python directly from your C# applications, making it possible to use Python's extensive libraries and simplicity alongside C#'s strong performance and robust framework.
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.
Applications: Transforming input data such as text for use with machine learning algorithms. Algorithms: Preprocessing, feature extraction, and more...
26 Δεκ 2022 · Welcome to ro.py! ro.py is an asynchronous, object-oriented wrapper for the Roblox web API. The key features are: Asynchronous: ro.py works well with asynchronous frameworks like FastAPI and discord.py. Easy: ro.py's client-based model is intuitive and easy to learn for both the beginner and expert developer.
