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## Ignore Visual Studio temporary files, build results, and | ||
## files generated by popular Visual Studio add-ons. | ||
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# User-specific files | ||
*.suo | ||
*.user | ||
*.userosscache | ||
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# User-specific files (MonoDevelop/Xamarin Studio) | ||
*.userprefs | ||
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# Build results | ||
[Dd]ebug/ | ||
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x86/ | ||
bld/ | ||
[Bb]in/ | ||
[Oo]bj/ | ||
[Ll]og/ | ||
[Bb]uild/ | ||
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# Visual Studio 2015 cache/options directory | ||
.vs/ | ||
# Uncomment if you have tasks that create the project's static files in wwwroot | ||
#wwwroot/ | ||
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# MSTest test Results | ||
[Tt]est[Rr]esult*/ | ||
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# NUNIT | ||
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TestResult.xml | ||
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# Build Results of an ATL Project | ||
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# DNX | ||
project.lock.json | ||
artifacts/ | ||
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# Chutzpah Test files | ||
_Chutzpah* | ||
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ipch/ | ||
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$tf/ | ||
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DocProject/Help/*.hhp | ||
DocProject/Help/Html2 | ||
DocProject/Help/html | ||
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# Click-Once directory | ||
publish/ | ||
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# Publish Web Output | ||
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*.azurePubxml | ||
# TODO: Comment the next line if you want to checkin your web deploy settings | ||
# but database connection strings (with potential passwords) will be unencrypted | ||
*.pubxml | ||
*.publishproj | ||
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# NuGet Packages | ||
*.nupkg | ||
# The packages folder can be ignored because of Package Restore | ||
**/packages/* | ||
# except build/, which is used as an MSBuild target. | ||
!**/packages/build/ | ||
# Uncomment if necessary however generally it will be regenerated when needed | ||
#!**/packages/repositories.config | ||
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# Microsoft Azure Build Output | ||
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*.build.csdef | ||
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ApplicationInsights.config | ||
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AppPackages/ | ||
BundleArtifacts/ | ||
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# files ending in .cache can be ignored | ||
*.[Cc]ache | ||
# but keep track of directories ending in .cache | ||
!*.[Cc]ache/ | ||
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# Others | ||
ClientBin/ | ||
~$* | ||
*~ | ||
*.dbmdl | ||
*.dbproj.schemaview | ||
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*.publishsettings | ||
node_modules/ | ||
orleans.codegen.cs | ||
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# RIA/Silverlight projects | ||
Generated_Code/ | ||
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# Backup & report files from converting an old project file | ||
# to a newer Visual Studio version. Backup files are not needed, | ||
# because we have git ;-) | ||
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Backup*/ | ||
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UpgradeLog*.htm | ||
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*.mdf | ||
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# Node.js Tools for Visual Studio | ||
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# Visual Studio 6 workspace options file | ||
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# Visual Studio LightSwitch build output | ||
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_Pvt_Extensions | ||
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# Paket dependency manager | ||
.paket/paket.exe | ||
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# FAKE - F# Make | ||
.fake/ | ||
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# Compiled Object files | ||
*.slo | ||
*.lo | ||
*.o | ||
*.obj | ||
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# Precompiled Headers | ||
*.gch | ||
*.pch | ||
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# Compiled Dynamic libraries | ||
*.so | ||
*.dylib | ||
*.dll | ||
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# Fortran module files | ||
*.mod | ||
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# Compiled Static libraries | ||
*.lai | ||
*.la | ||
*.a | ||
*.lib | ||
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# Executables | ||
*.exe | ||
*.out | ||
*.app | ||
/windows/LightGBM.VC.db |
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cmake_minimum_required(VERSION 2.8) | ||
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PROJECT(LightGBM) | ||
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OPTION(USE_MPI "MPI based parallel learning" OFF) | ||
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if(USE_MPI) | ||
find_package(MPI REQUIRED) | ||
ADD_DEFINITIONS(-DUSE_MPI) | ||
MESSAGE(${MPI_LIBRARIES}) | ||
MESSAGE(${MPI_CXX_LIBRARIES}) | ||
else() | ||
ADD_DEFINITIONS(-DUSE_SOCKET) | ||
endif() | ||
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if(UNIX) | ||
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -fopenmp -pthread -O2 -std=c++11") | ||
endif() | ||
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SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -fopenmp -O2 -std=c++11") | ||
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SET(LightGBM_HEADER_DIR ${PROJECT_SOURCE_DIR}/include) | ||
SET(EXECUTABLE_OUTPUT_PATH ${PROJECT_SOURCE_DIR}) | ||
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ADD_SUBDIRECTORY(src) | ||
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LightGBM, Light Gradient Boosting | ||
========== | ||
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LightGBM is a gradient boosting framework that using histogram based tree learning algorithm. It can outperform existing boosting tools on both learning speed and accuracy. Our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) shows it is about 6x faster than xgboost with much better prediction accuracy. | ||
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LightGBM can be run on multiple machines, Our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) shows it can perform linear speed up in parallel learning. | ||
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* [**Wiki**](https://github.com/Microsoft/LightGBM/wiki) | ||
* [**Installation**](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) | ||
* [**Quick Start**](https://github.com/Microsoft/LightGBM/wiki/Quick-Start) | ||
* [**Feature Highlight**](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight) | ||
* [**Parallel Learning Guide**](https://github.com/Microsoft/LightGBM/wiki/Parallel-Learning-Guide) | ||
* [**Parameters**](https://github.com/Microsoft/LightGBM/wiki/Parameters) | ||
* [**Examples**](https://github.com/Microsoft/LightGBM/tree/master/examples) | ||
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Examples | ||
===================== | ||
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You can learn how to use LightGBM by these examples. If you have any questions, please refer to our [wiki](https://github.com/Microsoft/LightGBM/wiki). | ||
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Binary Classification Example | ||
===================== | ||
Here is an example for LightGBM to run binary classification task. | ||
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***You should copy executable file to this folder first.*** | ||
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#### Training | ||
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For windows, by running following command in this folder: | ||
``` | ||
LightGBM.exe config=train.conf | ||
``` | ||
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For linux, by running following command in this folder: | ||
``` | ||
./LightGBM config=train.conf | ||
``` | ||
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#### Prediction | ||
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You should finish training first. | ||
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For windows, by running following command in this folder: | ||
``` | ||
LightGBM.exe config=predict.conf | ||
``` | ||
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For linux, by running following command in this folder: | ||
``` | ||
./LightGBM config=predict.conf | ||
``` | ||
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