Yannick Funk
Yannick Funk
@bluss yes, it should be just the float without the fractional part, just the behavior the mean function has when calculating the mean of few u64's (not 1000 like in...
@xd009642 would casting of the sum results if they exceed u64 be an option?
@xd009642 I'm using mean_axis at the moment to calculate the means of groups of `u64` values along an axis. Can you imagine any workaround at the moment to not encounter...
@bluss thanks! So maybe the first step in this issue should be adding the mentioned panic case to the functions documentation: https://github.com/rust-ndarray/ndarray/blob/4d9641db085e64729d52050ea0c24e4a541629a7/src/numeric/impl_numeric.rs#L70 What do you think?
I personally would volunteer to implement this, but I never contributed here so I might need some Information where to start when making such a change. @jturner314
To achieve this we would need to think of how to accomplish the following: - [ ] Distinguish user written python code from pyscript internal python code (e.g. calls to...
@marimeireles Yeah the output comes directly from pyodide, my intention here was to parse this output and hide the pyodide internals from the user. That's what I meant with >...
If you still want NNs to be working, try sklearn! It works with pyscript and supports MLPs (Fully Connected neural Networks): https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html?highlight=mlp#sklearn.neural_network.MLPClassifier
Thank you for submitting the issue! As stated in the issue linked by you (https://github.com/pyodide/pyodide/issues/1603) > multiprocessing won't work in Pyodide because one cannot create processes (and threads for now)....
Is there any progress here? This feature would be much appreciated