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nosetest broke in Python 3.11
  • AlexanderFabisch
  • Opened 
    on May 21, 2024
  • #53

Hi, I met an issue when i using my own data for training, the error message as follows, I also checked my data and confirmed that there was no NaN in the data: Traceback (most recent call last): File C:/Users/FJL/Downloads/gmr-master/gmr-master/examples/Test2.py ...
  • xlzhu0317
  • 5
  • Opened 
    on May 9, 2024
  • #52

In the R package flexmix, I can specify a model for the priors, rather than just a vector a numbers. The model can depend on some arbitrary set of associated variables, called concomitant variables. https://cran.r-project.org/web/packages/flexmix/vignettes/mixture-regressions.pdf ...
  • travis-leith
  • 1
  • Opened 
    on May 1, 2024
  • #51

Should be float, but is int: https://github.com/AlexanderFabisch/gmr/blob/master/gmr/gmm.py#L612
  • AlexanderFabisch
  • Opened 
    on Mar 4, 2023
  • #50

It s possible my thinking is backward, but I ve long considered regression from an imputation of missing values point of view (e.g., Schneider, 2001; see Sec. 2). Given that, the docstrings for module ...
  • erigler-usgs
  • 2
  • Opened 
    on Jan 27, 2022
  • #44

Hi, thank you for making this package. However, I am failing to see where I can do a GMM regression with a dependent variable y?
  • wout-konings
  • 1
  • Opened 
    on Jan 24, 2022
  • #43

Thank you for your excellent work,I want to know if there is a more flexible GMR, similar to sklearn, which can limit the covariance type to ‘shared’, ‘spherical’ or ‘diag . Sometimes we don’t need a full ...
  • sdodingnan
  • 3
  • Opened 
    on Jan 7, 2022
  • #42

  • AlexanderFabisch
  • Opened 
    on Oct 25, 2021
  • #41

It seems that I ve run into a bug where for a GMM with a single feature the is_in_confidence_region always returns False, and so sample_confidence_region never terminates. I first noticed this with a conditioned ...
  • nardi
  • 3
  • Opened 
    on Oct 22, 2021
  • #39

I would like to perform a specific kind of sampling, and I m not sure what is the best way to go about it. Say I have two variables (1d arrays) X and Y, and I have a GMM trained on the [X Y] dataset. Now ...
  • nardi
  • 1
  • Opened 
    on Oct 21, 2021
  • #38
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