ForumSections

onnx

New comment

Ive tried everything to get onnx installed.

 note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for onnx
Failed to build onnx
ERROR: Failed to build installable wheels for some pyproject.toml based projects (onnx)

This is boring me and getting on my nerves and wasting my time.

I swear this simple process is done on purpose to make overly difficult.

C:\Windows\System32>python --version
Python 3.13.1

Been  linux 20 years but using windows because wine was too buggy. Anyway cant get onnx installed

pip install onnx

Any ideas

Projects assist in creating profitable trading robots! Or at least, so it seems
Projects assist in creating profitable trading robots! Or at least, so it seems
  • www.mql5.com
A big program starts with a small file, which then grows in size as you keep adding more functions and objects. Most robot developers utilize include files to handle this problem. However, there is a better solution: start developing any trading application in a project. There are so many reasons to do so.

ONNX and  MQL5 Copilot


The forum

  1. MetaTrader 5 Python User Group - the summary (about ONNX as well)
  2. MetaEditor, Open AI and ChatGPT - summary thread (excluding ONNX)
  3. Learning ONNX for trading - key forum thread about ONNX
  4. Practical examples: this page

The articles

  1. How to use ONNX models in MQL5 - Metatrader 5 
  2. Neural Network in Practice: Pseudoinverse (I) - Metatrader 5
  3. Developing a robot in Python and MQL5 (Part 1): Data preprocessing - Metatrader 5
  4. Developing a robot in Python and MQL5 (Part 2): Model selection, creation and training, Python custom tester - Metatrader 5
  5. Developing a trading robot in Python (Part 3): Implementing a model-based trading algorithm - Metatrader 5
  6. Overcoming ONNX Integration Challenges - Metatrader 5
  7. Python, ONNX and MetaTrader 5: Creating a RandomForest model with RobustScaler and PolynomialFeatures data preprocessing - Metatrader 5
  8. Seasonality Filtering and time period for Deep Learning ONNX models with python for EA - Metatrader 5
  9. Cross-validation and basics of causal inference in CatBoost models, export to ONNX format - Metatrader 5
  10. Working with ONNX models in float16 and float8 formats - Metatrader 5
  11. Data label for time series mining (Part 6)：Apply and Test in EA Using ONNX - Metatrader 5
  12. Evaluating ONNX models using regression metrics - MT5
  13. An example of how to ensemble ONNX models in MQL5 - Metatrader 5
  14. Wrapping ONNX models in classes - Metatrader 5
  15. OpenAI's ChatGPT features within the framework of MQL4 and MQL5 development - Metatrader 5
  16. Classification models in the Scikit-Learn library and their export to ONNX - Metatrader 5 
  17. Mastering ONNX: The Game-Changer for MQL5 Traders - Metatrader 5
  18. Causal inference in time series classification problems - Metatrader 5
  19. Regression models of the Scikit-learn Library and their export to ONNX - Metatrader 5
  20. Spurious Regressions in Python - Metatrader 5

    CodeBase

    1. Information about the ONNX model's inputs and outputs - script for MetaTrader 5
    2. ONNX trader - expert for MetaTrader 5
    3. Get info about inputs and outputs of onnx-model - script for MetaTrader 5

    Documentation

    1. ONNX models in machine learning (MT5)

    Learning ONNX for trading - the video:

    1. ONNX Runtime - post  #60
    2. Converting Models to #ONNX Format - post  #61
    3. ONNX – open format for machine learning models​ - post #62
    4. (Deep) Machine Learned Model Deployment with ONNX - post  #63
    5. Recurrent Neural Networks | LSTM Price Movement Predictions For Trading Algorithms- post 
    6. Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka - post  #230
    7. Open Neural Network Exchange (ONNX):
      7.1. Introduction to ONNX - Tutorial 1 - post
      7.2. Challenges in Deep Learning - Tutorial 2 - post
      7.3. All about ONNX - Tutorial 3 - post
      7.4. Design principles - Tutorial 4 - post
      7.5. ONNX file format - Tutorial 5 - post
      7.6. ONNX Data Type - Tutorial 6 - post
      7.7. Machine Learning Example - Tutorial 7 - post
      7.8. ONNX Runtime - Tutorial 8 - post
      7.9. ONNX Model Zoo - Tutorial 9 - post
      7.10. ONNX Model Zoo Demo - Tutorial 10 - post
      7.11. PyTorch to Tensorflow Demo - Tutorial 11 - post
    8. MIT Introduction to Deep Learning:
      8.1. Introduction to Deep Learning - Lecture 1 - post
      8.2. Recurrent Neural Networks and Transformers -  Lecture 2 - post
      8.3. Convolutional Neural Networks - Lecture 3 - post 
      8.4. Deep Generative Modeling -  Lecture 4 - post
      8.5. Reinforcement Learning -  Lecture 5 - post
      8.6. Deep Learning New Frontiers -  Lecture 6 - post
      8.7. LiDAR for Autonomous Driving -  Lecture 7 - post
      8.8. Automatic Speech Recognition -  Lecture 8 - post
      8.9. AI for Science -  Lecture 9 - post
      8.10. Uncertainty in Deep Learning -  Lecture 10 - post

      very nice. ill go through that lot when i get time
      Hello, i'm currently having the same issue, has a solution been found?
      New comment