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As far as I can tell, there is currently no way to do NMF (or other decomposition methods) with missing data. This could be useful for at least a couple of reasons:
1. Data imputation: Using factor…
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When running `run_decoden` I receive a lot of warnings
```
/cluster/gjb_lab/mgierlinski/software/miniconda3/envs/decoden/lib/python3.10/site-packages/sklearn/decomposition/_nmf.py:874: RuntimeWarn…
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> Quick notes on College level of Math or Stats for machine learning.
## Study resources
- [x] [Wiki: List of linear algebra topics](https://en.wikipedia.org/wiki/List_of_linear_algebra_topics)
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I am estimating a relatively large earnings model using the lmer command. The model is a regression of log annual earnings on experience and hours (the fixed effects) and partially crossed person and …
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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How do we want the top-level functions?
Even in the two uses case in the gallery we have one with test data (the naive Bayes classifier) and one without. Should be always have a `Rcpp::Nullable` t…
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Where did you get `a = [-2 2];` in ZFR.m?
Per the source, _Murty and Yegnanarayana_, wouldn't there be three coefficients, [1, -2, 1] or am I completely misunderstanding both the Matlab and the equ…
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# Stan Frequently Answered Questions (FAQ)
This is more of a collection of answers than questions hence the name. It might be better to reformulate it eventually so users can index by question rat…
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Hi all,
as I delved further into the topic of recommender systems, the question came up of what the difference is between the two-tower model used here "https://www.tensorflow.org/recommenders/exampl…
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Hi,
I'am currently working on a data with 1624 individuals and 43 variables. I would like to run an analysis with a weight per individual. Is it possible in your package? Have you an idea about how …