Training a Multi-Target Multilinear Regression Model in PyTorch
The multi-target multilinear regression model is a type of machine learning model that takes single or multiple features as input to make multiple predictions. In our earlier post, we discussed how to make simple predictions with multilinear regression and generate multiple outputs. Here we’ll build our model and train it on a dataset.
In this post, we’ll generate a dataset and define our model with an optimizer and a loss function. Then, we’ll train our model and visualize the results of the training process. Particularly, we’ll explain:
- How to train a multi-target multilinear regression model in PyTorch.
- How to generate a simple dataset and feed it to the model.
- How to build the model using built-in packages in PyTorch.