Comments (2)
You need to install the latest version too (not just run the tests on it). Going 'python setup.py develop' from the root of the repo should set you up to do local development on this (incliuding run the tests)
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Thank you, seems I had old version installed and:
sudo pip install implicit --upgrade
did't made an upgrade :(
I had to uninstall and install again.
vagrant@deep-learning:~/implicit/tests$ python knn_test.py
looped in 0.00695395469666
.
----------------------------------------------------------------------
Ran 1 test in 0.011s
OK
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Related Issues (20)
- Evaluation module not working HOT 1
- Adding `numpy` to `requirements.txt`
- pip install implicit is not work to use GPU HOT 3
- Incremental update with old users but new items HOT 4
- als explain method bug HOT 1
- Usage of the trained model on testing.
- ranking metrics fail when model trained on CPU but not GPU?; implicit 0.7.2 HOT 1
- Python issue HOT 4
- Is it possible to compare scores across multiple results?
- function get_lastfm() error
- getting index error while using recommend function while ALS algorithm
- What is a good enough Precision@K and MAP@K value?
- BPR results not reproducible using multiple threads
- gpu issue on colab (implicit==0.7.2 / cuda ==12.1) HOT 1
- Potential error in the calculation of precision@k HOT 2
- Early stopping for ALS
- How recommend method works in Nearest Neighbour Models? HOT 3
- Potential bug in calculation of gradient updates for BPR
- IMPLICIT: No CUDA extension has been built, can't train on GPU HOT 1
- Cuda Error: an illegal memory access was encountered. When latent factors = 1024.
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