Right now, the main library lets users train their own custom Torch models by using the Trainer class. However, we want to give users who are not familiar with Torch the possibility to create some basic models.
Taking inspiration from scikit-learn's workflow, we first want to support the creation of SLPs (Single Layer Perceptrons) for both classification and regression tasks. The model should have a simple API (please look at https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html) and should internally use our Trainers (do not write any training-related code here).
Since this issue will create a new paradigm for Fenn, please ask questions and collaborate with us while working on this. Feel free to join our Discord channel to collaborate with us!
Right now, the main library lets users train their own custom Torch models by using the
Trainerclass. However, we want to give users who are not familiar with Torch the possibility to create some basic models.Taking inspiration from scikit-learn's workflow, we first want to support the creation of SLPs (Single Layer Perceptrons) for both classification and regression tasks. The model should have a simple API (please look at https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html) and should internally use our Trainers (do not write any training-related code here).
Since this issue will create a new paradigm for Fenn, please ask questions and collaborate with us while working on this. Feel free to join our Discord channel to collaborate with us!