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Note: This is a README.md boilerplate generated using Kedro 0.18.12.
Overview
This pipeline:
splits the data into training dataset and testing dataset using a configurable ratio found in conf/base/parameters.yml
runs a simple 1-nearest neighbour model (make_prediction node) and makes prediction dataset
reports the model accuracy on a test set (report_accuracy node)
Pipeline inputs
example_iris_data
Type
pandas.CSVDataSet
Description
Example iris data containing columns
parameters
Type
dict
Description
Project parameter dictionary that must contain the following keys: train_fraction (the ratio used to determine the train-test split), random_state (random generator to ensure train-test split is deterministic) and target_column (identify the target column in the dataset)