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Improvements suggested for XGBoost default models inside AutoML:
* xgBoostParameters._max_depth should not be 20 (XGB def2). The deepest we should go on this is probably 15 or 13. For reference d…
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Dear, thank again for Your wonderfull job; I have this problem:
1) time ago, I fit thousands models with flaml (environment scikit-learn version 1.0.2, xgboost some few version older)
2) saving …
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Congratulation for your updated version of scCancer2!
I wonder whether the model is suitable to identify malignant cell from gastric cancer?
The scCancer2 provided the jupyter and model.
But the …
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`#ifndef __linux__
#include "stdafx.h"
#endif
#include
#include
double g_array[2] = { 0.0, 0.0 };
double* make_array(double x, double y)
{
g_array[0] = x;
g_array[1] = y;
return g_a…
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note: I first posted this issue on stackoverflow, then realised this was probably a better place to ask.
(https://stackoverflow.com/questions/49280345/can-the-r-version-of-lime-explain-xgboost-models…
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When using XGBClassifier, the model info check fails in detecting the default values.
To reproduce:
https://www.kaggle.com/itay94/notebookd3c7ad4480
![image](https://user-images.githubuserconte…
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The main idea here is to get the output from those two modes of xgboost to stack it into another more standard model like Cox or Weibull similar to the idea of this package, https://loft-br.github.io/…
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Dear, @stevenpawley
### I can't see the scores function table that features the 'variable' and 'scores' columns containing the variable names and their scores. Could you help me find these values?…
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I would like to add how to handle imbalance in datasets and would like to add code for Xgboost
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Seems like it will fail whever an **xgboost** model is fit without a params argument:
```r
library(pdp)
library(xgboost)
boston