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Hi Khan,
Due to the usage of the modules as imported ones, do you plan including the "main" type of check:
```
if __name__ == '__main__':
...
```
and a respective function that can b…
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arXiv论文跟踪
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I have coded a Probabilistic Matrix Factorization model in Edward. I am trying to port it over to TFP, but I am not sure how to define the log-likelihood and KL divergence terms. Here is the code in E…
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# Probabilistic and Bayesian Matrix Factorizations for Text Clustering | Eigenfoo
This blog post summarizes some literature on probabilistic and Bayesian matrix factorization methods, keeping an eye …
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Looking at https://pymc-devs.github.io/pymc3/notebooks/pmf-pymc.html, it reads:
> As expected, our MCMC sampler provides lower error on the training set. However, it seems it does so at the cost of…
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I am trying to implement the pmf model in the examples and it seems to work with you sample data. But when I tried my own data set, which has more than 20,000 lines of data, something happened:
```
[…
ghost updated
5 years ago
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I would like to know how can I decide the input matrix to complete before using matrix-completion?
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What are the benefits of the `svd` and `eig` implementations for DataMatrix, over using the one from Base?
The comment in the code suggests that this one can handle `NA`. If not already done, this is…
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http://delivery.acm.org/10.1145/2850000/2843948/a13-gomez-uribe.pdf?ip=129.97.124.100&id=2843948&acc=OA&key=FD0067F557510FFB%2E9219CF56F73DCF78%2E4D4702B0C3E38B35%2EE5B8A747884E71D5&__acm__=1540315160…
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Hi,
My professor and I have investigated deeply this library for applying PMF on a ratings matrix and we have encountered a problem during fit() method of PMF.
With 'ratings_matrix' we indicate the …