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I am using `h2o.glm` with coordinate descent. After fitting the model, the model summary says that number_of_iterations = 23. Same with the scoring history.
However, from FLOW I can see that there …
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Related to #22 in that it also requires changes to the website repository:
Some slides in `slides-pdf` which are linked from the website as well are named like this
```
slides-derivfree-1-coord…
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may you help find this data file used in
https://github.com/wiqaaas/youtube/blob/master/Machine_Learning_from_Scratch/Lasso_Regression/Lasso_Regression_using_Coordinate_Descent.ipynb
Dataset is…
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I write a simple test to get the triton code of `WeightOnlyInt8Linear`,the test code is as follows:
```
import torch
import torch.nn as nn
import torch.nn.functional as F
class WeightOnlyInt…
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I haven't been able to find appropriate documentation for the stopping criterion that are used in SAG(A) and coordinate descent. Is it violation of the KKT conditions ? It would be great to make this …
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I am using the GLM algorithm with the following setup:
* binomial distribution in the response
* using the Coordinate Descent Naive solver
* missing values are handled by Mean Imputation
If I ha…
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In the comment of `class RidgeSketch`, "ridgesketch" is listed as an option, but in fact it is not implemented.
```python
solver (str): defaults to 'auto'.
If dimensions small, uses direct so…
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We can treat the discrete variables as continual variables and use the gradient descent method to get a local minimal. Finally, we round it to make discrete.
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Hi there, my optimization problem contains two variables $q_t,e_t\in\mathbb{R}^{3\times1}$, where $t=1,\dots,N$ is the time index. The constraints:
1. $\lVert q_t \rVert=1$
2. $\lVert e_t \rVert=1…
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I'm using matplotlib==3.8.4 scikit-learn==1.4.0 numpy==1.26.0.
When I'm trying to import HSTreeRegressor I get a ImportError:
```
[/usr/local/lib/python3.10/dist-packages/imodels/util/score.py](…
3mMv updated
3 months ago