Learns a linear model based XGBoost model for classification. XGBoost is a popular machine learning library that is based on the ideas of boosting. Checkout the official documentation for some tutorials on how XGBoost works. Since XGBoost requires its features to be single precision floats, we automatically cast double precision values to float, which can cause problems for extreme numbers.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
A zipped version of the software site can be downloaded here.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.