search

dlab-berkeley / Python-Text-Analysis-Legacy-2023

D-Lab's 12 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, Gensim, and spaCy in Python.
Creative Commons Attribution 4.0 International
22 stars 9 forks source link

JupyterHub kernel fails after using too much memory #3

Closed joseaveldanes closed 2 years ago

joseaveldanes commented 2 years ago

After using up 1 GB of memory on JupyterHub, the kernel fails. We are not sure of how to remove objects that currently exist in the Jupyter Notebook so that we don't use up all of the memory. Users were having issues with this as well.

pssachdeva commented 2 years ago

This repo is in progress - I assumed you meant to make this on Python-Text-Analysis-Fundamentals. I'm going to make this private in the meantime to avoid confusion.

aculich commented 2 years ago

I'm confused about all the different issues related to this?!

But in any case, the generic campus datahub at https://datahub.berkeley.edu/ is limited to 1GB However we have a D-Lab specific JupyterHub at https://dlab.datahub.berkeley.edu/ has 2GB available (and it is potentially possible to increase that limit, so consider using that instead.

Let me know if you have more questions it.

joseaveldanes commented 2 years ago

Sorry folks,

I accidentally made a second issue in the same erroneous repository. And then resolved immediately because i didn’t know how to delete it.

Good to know! Thank you.

All my best, JMA

On Thu, Feb 17, 2022 at 3:52 PM Aaron Culich @.***> wrote:

I'm confused about all the different issues related to this?!

But in any case, the generic campus datahub at https://datahub.berkeley.edu/ is limited to 1GB However we have a D-Lab specific JupyterHub at https://dlab.datahub.berkeley.edu/ has 2GB available (and it is potentially possible to increase that limit, so consider using that instead.

Let me know if you have more questions it.

— Reply to this email directly, view it on GitHub https://github.com/dlab-berkeley/Python-Text-Analysis/issues/3#issuecomment-1043644470, or unsubscribe https://github.com/notifications/unsubscribe-auth/ANW7U2EDQNTAG45LMMRJ3ULU3WC5DANCNFSM5OWDLCIA . You are receiving this because you modified the open/close state.Message ID: @.***>

--

-- Jose Martin Aveldanes

​Ph.D​ Student i n Sociology University of California, Berkeley ​ Barrows Hall, Berkeley CA, 94720