The code in this repository demonstrates best practice when working with Kedro. It contains a Kedro starter template with some initial configuration and an example pipeline, and originates from the Kedro Iris dataset example.
This Kedro starter uses the simple and familiar Iris dataset. It contains the code for an example machine learning pipeline that trains a random forest classifier to classify an iris.
The pipeline includes two modular pipelines: one for data engineering and one for data science.
The data engineering pipeline includes:
- A node to split the transformed data into training dataset and testing dataset using a configurable ratio
The data science pipeline includes:
- A node to train a simple multi-class logistic regression model
- A node to make predictions using this pre-trained model on the testing dataset
- A node to report the accuracy of the predictions performed by the model