In Python, I do some SymPy calculations that yield an array full of polynomials in the variables a, b, c, d, e and f such as: array([b*d*e*f, 0, 0, d**3*e, b*d*
This question is a follow-up of tensorflow 2 TextVectorization process tensor and dataset error I would like to make do a word embedding for the processed text
I would like to process text with tensorflow 2.8 on Jupyter notebook. my code: import re import string import tensorflow as tf from tensorflow import keras from
I want to thank you for helping me my related issue. I know if I do a cat /proc/meminfo it will only display in kB. How can I display in MB? I really want to us
how to find a line that contains exactly 3 "w", 5 "t" and no "v" with grep? Input: ---------- aabbccddd4444 wccwwtttjjttuu zzxxxwwwmmmnnnn Expected output: --
Assume this: It needs to pass a file name as an argument. This is the only text I’m showing. The remaining text has more data (not shown
I am following this document clustering tutorial. As an input I give a txt file which can be downloaded here. It's a combined file of 3 other txt files divided