![LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub](https://user-images.githubusercontent.com/22273557/59056607-93400980-8866-11e9-824d-3df958d0e3d5.png)
LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub
![LightGBM-gpu doesn't work on win10 even if I have figured and compiled right in CMake and no errors when specifying GPU parameters. · Issue #2221 · microsoft/LightGBM · GitHub LightGBM-gpu doesn't work on win10 even if I have figured and compiled right in CMake and no errors when specifying GPU parameters. · Issue #2221 · microsoft/LightGBM · GitHub](https://user-images.githubusercontent.com/43337427/59038511-bb029200-88a5-11e9-976c-e11ebdead749.png)
LightGBM-gpu doesn't work on win10 even if I have figured and compiled right in CMake and no errors when specifying GPU parameters. · Issue #2221 · microsoft/LightGBM · GitHub
![Szilard [Deeper than Deep Learning] on Twitter: "5/n My recommendations are still: If you don't have a GPU, lightgbm (CPU) is the fastest. If you have a GPU, xgboost (GPU) is also Szilard [Deeper than Deep Learning] on Twitter: "5/n My recommendations are still: If you don't have a GPU, lightgbm (CPU) is the fastest. If you have a GPU, xgboost (GPU) is also](https://pbs.twimg.com/media/D5fkhanUcAAD102.jpg:large)
Szilard [Deeper than Deep Learning] on Twitter: "5/n My recommendations are still: If you don't have a GPU, lightgbm (CPU) is the fastest. If you have a GPU, xgboost (GPU) is also
![LightGBM GPU Python 3.7 CUDA 10.1 Windows Server boost 1.73 success compilation but running error · Issue #3316 · microsoft/LightGBM · GitHub LightGBM GPU Python 3.7 CUDA 10.1 Windows Server boost 1.73 success compilation but running error · Issue #3316 · microsoft/LightGBM · GitHub](https://user-images.githubusercontent.com/34490641/90680894-38c47a80-e26b-11ea-9285-c3fedfc98fbb.png)
LightGBM GPU Python 3.7 CUDA 10.1 Windows Server boost 1.73 success compilation but running error · Issue #3316 · microsoft/LightGBM · GitHub
![LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub](https://user-images.githubusercontent.com/22273557/59079046-eab69780-88af-11e9-8537-465c55e5ace2.png)
LightGBMError: GPU Tree Learner was not enabled in this build. · Issue #2222 · microsoft/LightGBM · GitHub
![LightGBM-gpu doesn't work on win10 even if I have figured and compiled right in CMake and no errors when specifying GPU parameters. · Issue #2221 · microsoft/LightGBM · GitHub LightGBM-gpu doesn't work on win10 even if I have figured and compiled right in CMake and no errors when specifying GPU parameters. · Issue #2221 · microsoft/LightGBM · GitHub](https://user-images.githubusercontent.com/43337427/59035952-f058b100-88a0-11e9-8fb0-f09f176e2810.png)