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Taking too much time to run .

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  • Lazy Predict version:
  • Python version:
  • Operating System:

Description

I tried to run lazypredict regressor on a black friday sales train dataset n it gets stuck on 60 %-63% . dataset has 55,000 rows.

What I Did


 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ                                | 26/43 [33:11<04:11, 14.82s/it]

Issue Analytics

  • State:open
  • Created 3 years ago
  • Comments:13 (3 by maintainers)

github_iconTop GitHub Comments

5reactions
shankarpandalacommented, Feb 17, 2021

We can see which model is running by setting verbose>1 Some models take really long time and memory to build models.

I have manually removed them from the list already but still there are some models that take long time.

My long term plan is to divide algorithms by time-complexity let users choose which complexity they want

2reactions
SSMK-wqcommented, Nov 15, 2022

@shankarpandala - how to specify the list of algorithms that we want to try? Is there any syntax that you can share? Am not able to find anything in the documentation. Can help please?

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