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I tried to use sr for mnist classification training, but the results were not good.
I hope you can help me see where I need to improve
MNIST is 28*28 images, 10 classes label.
```
using SymbolicR…
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### Describe the workflow you want to enable
I'd like to have a feature importance method native to linear models (without L1 penalty) that is calculated on the training set:
```python
clf = Logi…
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**Objective**
Develop an efficient method to compute the statistics s(c) for a given non-linear n-dimensional function f(x, y) with dependent variables x and y, such that F(f(s(x), s(y))) = s(c) whil…
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https://doi.org/10.1101/095638 (http://biorxiv.org/content/early/2016/12/20/095638)
> Learning the joint distributions of measurements, and in particular identification of an appropriate low-dimens…
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I test the 2D visulization of ivis with mnist dataset. I found the distribution of point is very crowded in the 2D figure, my code is below:
```
from sklearn.datasets import fetch_openml
from ivis…
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When my label is a high-dimensional vector, and the label is not sparse. I find that the training loss has not been reduced(or the reduction is particularly small),and the end result is not good.how t…
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Every search is returning the same set of results.
```
> library(pkgsearch)
> ps("survival")
- "survival" -------------------------------------------------------------------------- 19749 packag…
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- It nearly spends a whole day to simulate, which is inconvenient.
- I encountered an error like this when I try to simulate a 2000cell*150000peak scATAC. Could you tell me how to fix it?
```
Input…
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# Why clipping is not as bad as it looks, and how we can use the features to make recommendations for better map-design.
## How the current predictor works
These features are used in the new di…