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Building windows old solution
Jack Gerrits edited this page Jun 5, 2021
·
1 revision
- Open
vowpalwabbit\vw.sln
in Visual Studio 2017 - Do not retarget projects if prompted
- Set startup project as vw (or the test project)
- Select x64 platform (Configuration Manager>Active solution platform)
- Select x64 as test platform (Test>Test settings>Default Processor Architecture)
- Build solution by clicking Build>Rebuild Solution
Available configurations are "Release" and "Debug". Available platforms are "x64" and "Win32":
msbuild /p:Configuration="Release" /p:Platform="x64" vw.sln
- Open CMake GUI
- Specify the following entries:
CMAKE_TOOLCHAIN_FILE=<vcpkg_root>/scripts/buildsystems/vcpkg.cmake
VCPKG_TARGET_TRIPLET=x64-windows
- Configure
- Choose generator (for example, Visual Studio 15 2017 Win64)
- Generate
- Open Project
mkdir build
cd build
cmake .. -DCMAKE_TOOLCHAIN_FILE=<vcpkg_root>\scripts\buildsystems\vcpkg.cmake -DVCPKG_TARGET_TRIPLET=x64-windows
.\vowpal_wabbit.sln
- Home
- First Steps
- Input
- Command line arguments
- Model saving and loading
- Controlling VW's output
- Audit
- Algorithm details
- Awesome Vowpal Wabbit
- Learning algorithm
- Learning to Search subsystem
- Loss functions
- What is a learner?
- Docker image
- Model merging
- Evaluation of exploration algorithms
- Reductions
- Contextual Bandit algorithms
- Contextual Bandit Exploration with SquareCB
- Contextual Bandit Zeroth Order Optimization
- Conditional Contextual Bandit
- Slates
- CATS, CATS-pdf for Continuous Actions
- Automl
- Epsilon Decay
- Warm starting contextual bandits
- Efficient Second Order Online Learning
- Latent Dirichlet Allocation
- VW Reductions Workflows
- Interaction Grounded Learning
- CB with Large Action Spaces
- CB with Graph Feedback
- FreeGrad
- Marginal
- Active Learning
- Eigen Memory Trees (EMT)
- Element-wise interaction
- Bindings
-
Examples
- Logged Contextual Bandit example
- One Against All (oaa) multi class example
- Weighted All Pairs (wap) multi class example
- Cost Sensitive One Against All (csoaa) multi class example
- Multiclass classification
- Error Correcting Tournament (ect) multi class example
- Malicious URL example
- Daemon example
- Matrix factorization example
- Rcv1 example
- Truncated gradient descent example
- Scripts
- Implement your own joint prediction model
- Predicting probabilities
- murmur2 vs murmur3
- Weight vector
- Matching Label and Prediction Types Between Reductions
- Zhen's Presentation Slides on enhancements to vw
- EZExample Archive
- Design Documents
- Contribute: