civilinformer

This seems like it could be a great project. I am trying to calculate the pseudo inverse with uncertainties for an array size (21931, 3). Using np.linalg.pinv (without uncertainties) this...

The problem I am trying to solve is AX = b. A is only 3 wide so x is a vector of length three. So there are only 3 unknowns....

Just want to add that the solution I came up with is to assume a distributions for the errors of the data, add noise to the data following that distribution...

This fix worked: `c_int(self.max_iter), # 18 c_int(self.n_jobs), # 19`

I agree that it is a very rare enviroment where this occurs. Hopefully I have built something special then. In any case the fix occurred to me because I saw...

@benfred What a great library! I am using the precision_at_k to tune parameters of the model, including two parameters for my custom importance function, the regularization parameter, number of factors...

Thank you so much for that post! I assume you are using 0.8.1. Try this: 1. Replace `n_random_starts` with `n_initial_points`. 2. Until they find a fix, set the value of...

For some reason the checkpoint pickler needs more information about the function to minimize than my code is able to provide it. Probably because it needs to be a local...

I would like to reopen this issue. I made some small modifications to the above code: ``` from thundergbm import TGBMRegressor from sklearn.datasets import load_boston from sklearn.metrics import mean_squared_error from...

How is this progressing? It would be great to have a fix!