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issue used for adding pictures for GPU installation on Windows
Changing PATH:
![image](https://cloud.githubusercontent.com/assets/9083669/24928495/e3293b12-1f02-11e7-861d-37ec2d086dba.png)
![…
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Please check the image, where to execute that instructions.
![image](https://user-images.githubusercontent.com/3966230/28275545-ca5fcf44-6b31-11e7-8aa0-c3c6bd6c77ab.png)
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Bagging is very slow. I am not sure what is causing it. See https://github.com/Microsoft/LightGBM/issues/562 for the dataset. I am using 0.40 subsampling to have this issue, it is not reproducible whe…
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(Requires investigation)
This issue reflects an issue found on the following issues:
* https://github.com/Microsoft/LightGBM/issues/446: Installation of CMake&MinGW is slow than Visual Studio
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LightGBM is so amazingly fast it would be important to implement
a native grid search for the single executable EXE that covers the
most common influential parameters such as num_leaves, bins, featu…
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It is about time to tackle the elephant in the room: performance on multi-core CPUs.
# Description of Problem
Currently, the `hist` tree-growing algorithm (`tree_method=hist`) scales poorly on mul…
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This is broken and it was such an incredible resource, I would hate to see it disappear. Could you take a look at fixing it?
Or, maybe put the table contents in a github repo readme? I'd be happy t…
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`memoise(f,cache = ...)` fails when specifying a cache with `attempt to apply non-function`
**Example**
```r
library(memoise)
library(cachem)
f
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In Windows, you can copy and paste the R package after you installed LightGBM R-package on a local computer. It works very well as long as you have the pre-requisites to run the VS C++ runtime.
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Specs:
* R 3.4.0
* MinGW 7.1
* Windows Server 2012 R2
* 2x 10 core Xeon (total of 40 threads)
Random Forest can be extremely slow for unknown reasons.
To reproduce the issue (requires [Bos…