dannyvanpoucke/lssvmlib

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

lssvmlib's Issues

Neo LS-SVM

Hi there, since this is one of the very few LS-SVM implementations, I thought you might be interested to know that I've recently released a new LS-SVM package called Neo LS-SVM. The idea is that LS-SVMs have a lot of untapped potential, but that they could use a little more love ❤️ now that most of the attention is going to deep learning and gradient-boosted decision trees. Hope it's useful to you!

Implement Classifier Class

Implement a Classifier Class using the LS-SVM model.
(Delayed, as no need for a classifier is present. All current work is purely regression.)

numpy.linalg.LinAlgError: SVD did not converge

LSSVMRegression.py", line 251
numpy.linalg.LinAlgError: SVD did not converge

do you have code example but for categorical data and continues target?

great code thanks
do you have example like
https://github.com/DannyVanpoucke/LSSVMlib/blob/master/examples/LSSVMlib-example6.ipynb

but for categorical data and continues target?

i can not install LSSVMlib by pip install git+https://github.com/DannyVanpoucke/LSSVMlib#egg=LSSVMlib

error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [15 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.

  Here is how to fix this error in the main use cases:
  - use 'pip install scikit-learn' rather than 'pip install sklearn'
  - replace 'sklearn' by 'scikit-learn' in your pip requirements files
    (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
  - if the 'sklearn' package is used by one of your dependencies,
    it would be great if you take some time to track which package uses
    'sklearn' instead of 'scikit-learn' and report it to their issue tracker
  - as a last resort, set the environment variable
    SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error

  More information is available at
  https://github.com/scikit-learn/sklearn-pypi-package
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

import error （Solved, but can not find the root of the problem）

ModuleNotFoundError: No module named 'LSSVMRegression' when I import this package
The solution I found is to change
'from LSSVMRegression import LSSVMRegression'
to
'from LSSVMlib.LSSVMRegression import LSSVMRegression'

Maybe my computer system is causing the problem
my environment is
python 3.7.10
Windows 10