NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Hello,
Thanks you for this library .
I was using it and I had one edge case. my home folder name ends with .py it is /home/espoir.py so anytime I am running the code to load a local module this code here it is failing because after splitting it is trying to save the code
#9130 adds a sort_results argument to assert_eq, which allows us to assert DataFrame equality without sorting them (by default, assert_eq sorts the input DataFrames before checking equality). It'll be nice to identify+update the tests that would benefit from it.
A first step could be to run the dataframe tests with check_index=False and sort_results=False as defaults.
I think I have discovered a very minor bug - or rather inconsistency with numpy - in Numba's implementation
Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html
https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html
Seems args are different
dtype argument added in NumPy version 1.20.
如何导入pytorch训练好的模型或者权重文件？
Wondering if this already exists? If not happy to create if valuable.
I'm looking for a mapping from the column names outputted, to the actual technical indicator it represents.
examples:
momentum_ao == "Momentum, Awesome Oscilator"
momentum_kama == "Momentum, Kaufman’s Adaptive Moving Average (KAMA)"
Can help quickly grasp what the features represent without having to refer back to do
Created by Travis Oliphant
Latest release 3 days ago
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis