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GlennEdsonBergstrm-8886 asked YutongTie-MSFT answered

What are the differences between LightGBM and FastTree algorithms used by ML.Net's modelbuilder?

For my master thesis, I am using ML.Net library with the model builder to build machine learning models for regression / to predict values. My field of study is in constructional mechanics, so I'm rather new to machine learning.

For most of my models, tree-based regression algorithms seem to be the best performing, and of these LightGBM and FastTree are the best performing algorithms.

I've tried to read up on LightGBM here: https://www.microsoft.com/en-us/research/publication/lightgbm-a-highly-efficient-gradient-boosting-decision-tree/ And FastTree here: https://docs.microsoft.com/en-us/dotnet/api/microsoft.ml.trainers.fasttree.fasttreeregressiontrainer?view=ml-dotnet

However, I struggle to distinguish what the difference between these algorithms is. Could someone explain what the difference between LightGBM and FastTree is?

azure-machine-learningdotnet-ml-big-data
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1 Answer

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YutongTie-MSFT answered

Hello,

Thanks for reaching out to us! The right place for ML.NET related question is the GitHub forum here, and the Gitter community. Sorry for the inconveniences.

Regards,
Yutong


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