The detailed description of the Polynomial Regression via Latent Tensor Reconstruction(LTR) solver is in ltr_user_guide_10.pdf which is located in the docs subdirectory, LTR user guide
The application of the LTR assumes the Python interpreter, version at least 3.7, and the Numpy package, version at least 1.20.
To run the examples also requires the matplotlib and scikit-learn packages. All these packages can be freely downloaded and installed from pypi.org.
The LTR package might be installed by the following procedures.
pip3 install git+https://github.com/aalto-ics-kepaco/LTR_multiview.git#egg=LTR_multiview
mkdir ltrpath
cd ltrpath
After downloading the LTR package it can be installed by the following command:
pip3 install ltrpath/LTR_Multiview
Before installing the LTR package the latest version of the Python packages pip and build need to be installed.
pip3 install --upgrade pip
pip3 install --upgrade build
The LTR can be imported as
import ltr_multiview as ltr
and the solver object can be constructed by
cmodel = ltr.ltr_solver_cls(norder=2, rank=10)
Further details about the application of the LTR package can be found within the PDF document in Section \ref{sec:basic_class}, and in Section \ref{sec:methods_paramaters}, and in the example files, in the directory of examples.