Before getting started with Machine Learning in F# Interactive it’s best to prepare it for large datasets so you don’t get blindsided with strange errors when you happen to cross the line. The good news is it’s a simple process that should only take a few minutes.
The first step is to go into the configuration and set fsi to 64-bit. It’s only matter of changing a boolean value buried deep in the Visual Studio settings. First, Go into Tools->Settings.
Then find the “F# Tools” section on the left and select the “F# Interactive” subsection.
Finally, set “64-bit F# Interactive” to true and click OK.
What this does is set Visual Studio to use “FsiAnyCPU.exe” for the F# Interactive window instead of 32-bit “Fsi.exe”.
Now, after we restart Visual Studio, your F# Interactive is running with as many bits as your operating system can handle. However, if we want to support really big matrices we’re going to need to go a bit further. If we want really large arrays, that is greater than 2 gigabytes, we’re going to need to fiddle with the F# Interactive application config and enable the “gcAllowVeryLargeObjects” attribute.
For .NET 4.5 on Windows 7, Windows 8 and Windows Sever 2008R2 the standard directory for both the fsi exeuctables and their application configs is:
“C:\Program Files (x86)\Microsoft SDKs\F#\3.0\Framework\v4.0″
Navigate there and open “FsiAnyCPU.exe.config” in your favorite text editor. Then just add:
<gcAllowVeryLargeObjects enabled=”true” />
When you’re done it should look like:
<?xml version="1.0" encoding="utf-8"?> <configuration> <runtime> <gcAllowVeryLargeObjects enabled="true" /> <legacyUnhandledExceptionPolicy enabled="true" /> <assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1"> <dependentAssembly> <assemblyIdentity name="FSharp.Core" publicKeyToken="b03f5f7f11d50a3a" culture="neutral"/> <bindingRedirect oldVersion="184.108.40.206" newVersion="220.127.116.11"/> <bindingRedirect oldVersion="18.104.22.168" newVersion="22.214.171.124"/> </dependentAssembly> </assemblyBinding> </runtime> </configuration>
And there you have it. Your F# Interactive can now handle large datasets and loading external 64-bit native libraries.
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