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## Context: the new `global_random_seed` fixture
#22749 introduces a new `global_random_seed` fixture to make it possible to run the same test with any seed between 0 and 99 included. By default, w…
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### 進度
1. 決定做 IBM HR Analytics Employee Attrition & Performance 資料
### 分組
- @davidlinn89222 : Logistic regression model
- @LeeHongWei-1997 & @Nick-wang920 : Naive Bayes and Boosting
- @1…
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**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
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I have a project where I would like to use a LightGBM model trained in Python do perform prediction on feature contributions (Shapley values), in the same manner as answered in this StackOverflow ques…
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I am using XGBoost version 1.3.3 on Windows with Python 3.6.8. On attempting to do training with objective set to `survival:cox`, I repeatedly get this error.
Traceback (most recent call last)…
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Hello.
I want to ask you to put CCrossValidationSubProblem into public interfaces (from https://github.com/neoml-lib/neoml/blob/master/NeoML/src/TraditionalML/CrossValidationSubProblem.h).
It woul…
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Here is an outline with a todo list for various sections. Please edit as needed and update status. They can be checked off if they are mostly there, as I'm sure we will tinker until the course starts.…
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## Description
After training in CLI a model I get a txt file with a model. Is it possible to provide more information about the structure of this txt file.
![image](https://user-images.githubuser…
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Could you let me know how to use it in Jupyter notebook.
Should I add something to lightgbm package ?
Can u add an example
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Both XGBoost and LightGBM support a "Random Forest" mode.
In XGBoost you set the `num_parallel_tree` parameter with `nrounds=1` (https://xgboost.readthedocs.io/en/latest/R-package/discoverYourDat…