This node performs polynomial regression on the input data and computes the coefficients that minimize the
squared error. The user must choose one column as target (dependent variable) and a number of independent variables. By
default, polynomials with degree 2 are computed, which can be changed in the dialog.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model.
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.
To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:
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 email@example.com, 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.