Comments (4)
Thanks for the bug report. Will fix this soon, but in the meantime: calling ContentBased
requires having the same number of rows in X and U, without padding either with NAs to accommodate the other.
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Now it should (a) avoid aborting the R session when something like this fails; (b) throw an informative message if the data is not suitable for default option start_with_ALS=TRUE
.
To install the latest version from github:
remotes::install_github("david-cortes/cmfrec")
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I already saw the problem with different dimensions and fixed it.
I still receive the error about DLASCLS. Where is this coming from?
Rstudio is not aborting anymore
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Thanks for the update. I've now expanded a bit the docs to add that option start_with_ALS=TRUE
can lead to errors like this. If you are observing this error, you might probably need to pass start_with_ALS=FALSE
and increase the number of iterations (maxiter
), although it might be a symptom that there is something wrong with your data (e.g. empty or duplicate users/items).
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Related Issues (20)
- I tried pip install cmfrec but get this error: Command errored out with exit status 1, and ERROR: Could not build wheels for cmfrec which use PEP 517 and cannot be installed directly
- something error when install cmfrec on Linux HOT 3
- name 'n' is not defined when using CMF_implicit() HOT 1
- predict_new() for OMF: name 'glob_mean' is not defined HOT 1
- ERROR: Invalid parameter combination, for fitting OMF HOT 1
- topN function for C API HOT 2
- Fetching entire predicted dataset HOT 1
- fit() got an unexpected keyword argument 'X' HOT 4
- Implicit feedback or explicit feedback HOT 1
- Getting different scores with using predict_new and predict methods HOT 1
- Upstream prematurely closing connection on nginx when using topN method HOT 2
- Different topN results using Dataframe vs COO HOT 6
- How to predict items for new users based on a implicit CMFREC Model? (R) HOT 3
- Transforming binary feedback into confidence levels HOT 5
- Logging loss/metrics per iteration HOT 4
- Categorical features for user_info HOT 1
- factors for cold start items HOT 5
- Error when installing cmfrec HOT 1
- Ranking metric for measuring the performance of the model with side info HOT 6
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