ML Cocktail: Training A Multi-Layer Perceptron Network¶

In this recipe we will train a multi-layer perceptron (MLP) network to classify the well-known Iris dataset using only the area of the petals and sepals. At the end of this jorney, you will have learned how to:

1. generate a dataset from scikit-learn and write it as Underfolder

2. split your data using Choixe and Piper

3. add new items to the samples using entities and actions

4. create a new Pipelime Command to train your model

5. define a new stage for inference

6. draw the final DAG and track the execution