Change bulid target name to lower case.

CMakeLists.txt

@@ -1,6 +1,6 @@
 cmake_minimum_required(VERSION 2.8)
 
-PROJECT(LightGBM)
+PROJECT(lightgbm)
 
 OPTION(USE_MPI "MPI based parallel learning" OFF)
 

examples/binary_classification/README.md

@@ -8,13 +8,13 @@ Here is an example for LightGBM to run binary classification task.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=train.conf
+lightgbm.exe config=train.conf
 ```
 
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=train.conf
+./lightgbm config=train.conf
 ```
 
 #### Prediction
@@ -23,12 +23,12 @@ You should finish training first.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=predict.conf
+lightgbm.exe config=predict.conf
 ```
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=predict.conf
+./lightgbm config=predict.conf
 ```
 
 

examples/lambdarank/README.md

@@ -8,13 +8,13 @@ Here is an example for LightGBM to run lambdarank task.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=train.conf
+lightgbm.exe config=train.conf
 ```
 
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=train.conf
+./lightgbm config=train.conf
 ```
 
 #### Prediction
@@ -23,11 +23,11 @@ You should finish training first.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=predict.conf
+lightgbm.exe config=predict.conf
 ```
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=predict.conf
+./lightgbm config=predict.conf
 ```
 

examples/parallel_learning/README.md

@@ -12,9 +12,9 @@ Here is an example for LightGBM to perform parallel learning for 2 machines.
 2. Copy this folder and executable file to these 2 machines that you want to run application on.
 3. Run command in this folder on both 2 machines:
 
-  For windows:```LightGBM.exe config=train.conf```
+  For windows:```lightgbm.exe config=train.conf```
   
-  For linux:```./LightGBM config=train.conf```
+  For linux:```./lightgbm config=train.conf```
 
 This parallel learning example is based on socket. LightGBM also support parallel learning based on mpi.
 

examples/regression/README.md

@@ -8,13 +8,13 @@ Here is an example for LightGBM to run regression task.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=train.conf
+lightgbm.exe config=train.conf
 ```
 
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=train.conf
+./lightgbm config=train.conf
 ```
 
 #### Prediction
@@ -23,11 +23,11 @@ You should finish training first.
 
 For windows, by running following command in this folder:
 ```
-LightGBM.exe config=predict.conf
+lightgbm.exe config=predict.conf
 ```
 
 For linux, by running following command in this folder:
 ```
-./LightGBM config=predict.conf
+./lightgbm config=predict.conf
 ```
 

windows/LightGBM.vcxproj

@@ -54,18 +54,22 @@
   <PropertyGroup Condition="'$(configuration)|$(Platform)'=='Debug|x64'">
     <IncludePath>..\include;$(VC_IncludePath);$(WindowsSDK_IncludePath);</IncludePath>
     <LibraryPath>$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);</LibraryPath>
+    <TargetName>lightgbm</TargetName>
   </PropertyGroup>
   <PropertyGroup Condition="'$(configuration)|$(Platform)'=='Debug_mpi|x64'">
     <IncludePath>$(MSMPI_INC);..\include;$(VC_IncludePath);$(WindowsSDK_IncludePath);</IncludePath>
     <LibraryPath>$(MSMPI_LIB64);$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);</LibraryPath>
+    <TargetName>lightgbm</TargetName>
   </PropertyGroup>
   <PropertyGroup Condition="'$(configuration)|$(Platform)'=='Release|x64'">
     <IncludePath>..\include;$(VC_IncludePath);$(WindowsSDK_IncludePath);</IncludePath>
     <LibraryPath>$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);</LibraryPath>
+    <TargetName>lightgbm</TargetName>
   </PropertyGroup>
   <PropertyGroup Condition="'$(configuration)|$(Platform)'=='Release_mpi|x64'">
     <IncludePath>$(MSMPI_INC);..\include;$(VC_IncludePath);$(WindowsSDK_IncludePath);</IncludePath>
     <LibraryPath>$(MSMPI_LIB64);$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);</LibraryPath>
+    <TargetName>lightgbm</TargetName>
   </PropertyGroup>
   <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug_mpi|x64'">
     <ClCompile>