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Hi Simon!
I'm Francesco. I'm really enthusiastic about using your gimme motif suite to perform differential motif enrichment analysis. When I try with Maelstrom, however, I always received this error…
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This template is for miscellaneous issues not covered by the other issue categories.
When we ran HyperGBM on k8s, if the resources of cpu and memory were far lower than the whole resources on the m…
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Hi, first of all thanks for that great package, which speeds up hyperparameter optimization enormously!!
I am currently stuck with getting reproducible results for xgboost on different machines usi…
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Please fill out the form below.
### System Information
- **Spark or PySpark**: PySpark
- **SDK Version**:
- **Spark Version**: Spark 2.4.3
- **Algorithm (e.g. KMeans)**: XG Boost
### Descri…
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### Week 1 - Get to know the community
- [X] Join the communication channels
- [X] Open a GitHub issue (this one!)
- [x] Install the Ersilia Model Hub and test the simplest model
- [x] Write a motiva…
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- [x] knn via `kknn` package
- [x] `decision_tree` via `rpart`, `C5.0`, `spark` (others?)
- [x] SVM models: linear, RBF, polynomial as separate functions (`kernlab`)
- [x] multinomial regressio…
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Naively passed in catboost classifier in the ClassifierExplainer leads to this error message:
Exception: Currently TreeExplainer can only handle models with categorical splits when feature_perturba…
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I'm running generate_pseudo_pop() on a random subset of my full dataset and get the following two errors when (a) I use a large subset of the data or (b) when I use less trimming in the "trim_quantile…
m-qin updated
2 years ago
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I am a newbie to the optimization methods and I'm really confused with the "default Parameters" for every optimization algorithm and the "Optimizer Parameters".
I was working with the ParticleSwar…
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I'm in the process of implementing the new function `XGDMatrixGetDataAsCSR` in the XGBoost.jl Julia wrapper.
I'm a bit confused about what this is supposed to be returning in the presence of null v…