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Hi,
is there a way to penalize the magnitude of the constants (via, e.g., L2 regularization)? I am trying to fit a `SymbolicRegressor` with some noisy data and sometimes I get very large values for…
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the default value of regularization parameters might need to be changed in the documentation
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Thank you for sharing your code and great work! I have been running the code and using the VGAE to extract features for clustering. However, I’ve noticed that the clustering results are inconsistent a…
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why is the params.feature_downsample_ratio = [4, 14] in the run_DeepSTRCF.m?
it is prior knowledge?
thx advance.
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The `grn` step uses sklearn `gradient boosting regularization`. Can `xgboost` or `lightgbm` be used instead? What are the parameters like?
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### Describe the workflow you want to enable
Currently, there is no included implementation of a PCA algorithm made for handling binary data in the scikit-learn library. However, the algorithm for …
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Dear iancovert
I hope this email finds you well.
I have been working with the code you provided on GitHub and had a few questions regarding the AUROC calculation. Specifically, I would like to u…
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I believe the below MWE should work according to the `ScalarDiffusivity` docstring, but from the error it seems to be expecting `funky_diffusion(x, y, z, t)` instead of `funky_diffusion(x, y, z, t, p)…
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Overview of the documentation refactoring plan:
- [x] **Home:** hyperlinks to some other references.
- [x] **Quickstart:** *See issue #220*
- [x] **Install**
- [ ] **Background:** *Theory focus, intr…
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### Feature request
I want to add L1/L2 regularization to the transformer training.
### Motivation
Adding L1/L2 reg can promote sparser models that can accelerate inference and reduce storage.
###…