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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\"
26 Ιαν 2021 · It wraps up the Roblox API in a neat little bow that lets you interact with Roblox in Python code. For example, you could. view information about a user; manage trades; accept join requests; respond to chat messages; hundreds of other actions I can’t be bothered to put here; without ever dealing with an API request yourself.
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.
SciSharp provides ports and bindings to cutting edge Machine Learning frameworks like TensorFlow, Keras, PyTorch, Numpy and many more in .NET Core.
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.
In order to pass a C# object to the Python runtime, it must be converted to a PyObject. This is done using the ToPython() extension method. The PyObject may then be set as a variable in a PyScope. Code executed from the scope will have access to the variable: