How to get actual topics used to make predictions by LDA

[cwford]

When running the LatentDirichletAllocation.cs sample all that I receive are prediction (correlation) values for the three topics. I do not receive, nor can I find a way to retrieve, the actual three topics ML.NET LDA uses to make predictions.

Can someone help me determine how to get the actual topics, as text strings, which ML.NET uses when performing a Latent Dirichlet Allocation against a set of sample documents?

Thank you.

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Document Details

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• ID: 87b08415-641d-4246-280f-b19e3baa8857
• Version Independent ID: 30d278f5-27f7-eee4-141f-d05dc1d34bfa
• Content: TextCatalog.LatentDirichletAllocation Method (Microsoft.ML)
• Content Source: dotnet/xml/Microsoft.ML/TextCatalog.xml
• Service: dotnet-ml-api
• GitHub Login: @natke
• Microsoft Alias: nakersha