Machine learning in trading: theory, models, practice and algo-trading - page 3244

You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Why aren't the strings supported????
https://www.mql5.com/ru/docs/onnx/onnx_types_autoconversion
Don't ask questions like, "Why do you need strings?"
I asked katbust developers if it is possible to change the second output to tensor instead of zipmap in a simple way - silence. There is no disabling button via onnxmltools either, other boosts have it. You can use sklearn2onnx, but it's ugly - a lot of code.
Although everyone realises that this method is inefficient in terms of speed, but they still do it for some reason.
The advisor has nothing to do with MOE. This is a technical test of how the proposed template works.
Why to go to the MO thread and report that MO is not working - I don't know.
What's the point of the tambourine dance?
What's the tambourine dance for?
Has anyone tried networks like PINNs (Physics-informed neural networks)?
It looks like you can drive formulas into their layers by constraining the gradient vector, which seems interesting.
Whether ONNX supports them is also a question....
is there a comparison test to say that?
or the usual...
is there a comparison test to say that?
or the usual.