Installing Machine Learning Server 9.4.7 on Windows
Machine Learning Server is an enterprise-grade platform that makes it easier for developers and data scientists to build, train, and deploy machine learning models at scale. It can run on popular operating systems such as Windows, macOS, and Linux, and supports a wide range of programming languages and environments. In this article, we will focus on how to install Machine Learning Server 9.4.7 on the Windows operating system.
1. Pre-requisites
Before you start the installation process, you need to check if your system meets the following pre-requisites:
– Windows Server version 2012 or later, or Windows 10 version 1809 or later.
– 64-bit operating system.
– At least 16 GB of RAM.
– At least 4-core processor.
– 10 GB of free hard disk space.
– Microsoft Visual C++ Redistributable for Visual Studio 2017 (x64).
2. Download Machine Learning Server
Once you have verified that your system meets the pre-requisites, you can download the Machine Learning Server installer from the Microsoft website. Make sure to select the correct version for your operating system, and then follow the on-screen instructions to start the download process.
3. Install Machine Learning Server
After the download is complete, double-click on the installer to start the installation process. You will need administrative privileges to install the software. Here are the steps you need to follow:
– Accept the License Agreement.
– Choose the installation location or use the default one.
– Select the setup type (Typical or Custom).
– Select the components you want to install (R for Windows, Python, Visual Studio Code, ML Server).
– Choose the port number for the R operationalization web service.
– Enter a secure password for the R operationalization administrator account.
– Wait for the installation process to complete.
4. Verify the Installation
Once the installation process is finished, you can verify that Machine Learning Server is installed correctly by checking the following:
– Open a web browser and go to http://localhost:12800. This should open the Machine Learning Server homepage.
– Open R or Python and verify that the corresponding libraries and tools are installed and working correctly.
– Open Visual Studio Code and verify that the Machine Learning Server extension is installed and working correctly.
5. Conclusion
Installing Machine Learning Server on Windows can be a straightforward process if you follow the pre-requisites and installation steps correctly. It provides a powerful platform that can help you build, train, and deploy machine learning models at scale. Remember to always keep your software up to date with the latest security updates and patches. With this installation, you have unlocked the full potential of Machine Learning Server for your data science projects.
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