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You should not follow this guide if you are using pre-built BigARTM library via command-line interface or from Python environment. All explicit links are given just for convenience if you are setting up new environment. You are free to choose other versions or tools, and most likely they will work just fine for BigARTM.
To contribute a fix you should fork the repository, code your fix and submit a pull request. Please, keep monitoring the status of your pull request on traviswhich is a continuous integration system used by BigARTM project.
Download and install GitHub for Windows. Download and download python 2.7.6 for windows 32 bit free Visual Studio or any newer version.
Install CMake tested with cmake We suggest to use the Prebuilt Windows Binaries. Make sure to select version that match your version of Visual Studio.
You may choose to work with either x64 or Win32 configuration, both of them are supported. If you have installed boost from download python 2.7.6 for windows 32 bit free link above, and used the default location, then the setting should look similar to this:. For all future details please refer to the documentation of FindBoost module.
We also encourage new CMake users to step through CMake tutorial. Install Python 2. You may choose to work with either x64 or Win32 version download python 2.7.6 for windows 32 bit free the Python, but make sure this matches the configuration of BigARTM you have choosed earlier.
Use CMake to generate Visual Studio projects and solution files. You might have to explicitly specify the cmake generatorespecially if you are working with x64 configuration.
To do so, use the following syntax:. Open generated solution in Visual Studio and build it as you would usually build any other Visual Studio solution. In brief, this instructions ask you to run the following commands:. In the code we follow google code style with the following changes:. Files, generated by protobuf compiler, are the only exceptions from this rule. To run the script you need some version of Python installed on your machine. Then execute the script like this:.
This only applies when ModelConfig. Download and install Boost 1. In brief, this instructions ask you to run the following commands: python setup. Ran tests in 1. The following script had been tested in Ubuntu. Read the Docs v: v0.
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