Discussing the article: "Classification models in the Scikit-Learn library and their export to ONNX"
MetaQuotes:
Check out the new article: Classification models in the Scikit-Learn library and their export to ONNX.
Author: MetaQuotes
Very useful article,thank you!
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Check out the new article: Classification models in the Scikit-Learn library and their export to ONNX.
In this article, we will explore the application of all classification models available in the Scikit-Learn library to solve the classification task of Fisher's Iris dataset. We will attempt to convert these models into ONNX format and utilize the resulting models in MQL5 programs. Additionally, we will compare the accuracy of the original models with their ONNX versions on the full Iris dataset.
In the press release "ONNX Runtime is now open source", it is claimed that ONNX Runtime also supports the ONNX-ML profile:
The ONNX-ML profile is a part of ONNX designed specifically for machine learning (ML) models. It is intended for describing and representing various types of ML models, such as classification, regression, clustering, and others, in a convenient format that can be used on various platforms and environments that support ONNX. The ONNX-ML profile simplifies the transmission, deployment, and execution of machine learning models, making them more accessible and portable.
In this article, we will explore the application of all classification models in the Scikit-learn package for solving the Fisher's Iris classification task. We will also attempt to convert these models into the ONNX format and use the resulting models in MQL5 programs.
Author: MetaQuotes