Hints

Maybe installing some missing libraries with !pip

Some of the parameters in the code could be wrong…​

train_test_split has something wrong…​ maybe changing some range in the parameters?

plt.show() is used to visualize the confusion matrix

In the Jupyter Notebook, you have the possibility to use Elyra pipelines…​

And then from the Data Science Pipelines UI you can setup pipeline schedule.

!pip install seaborn

Adjust the test_size to 0.3 from train_test_split in "Train the Model" section as the 30% of the data is used for testing

Substitute cmap="Blue" with cmap="Blues"

From the Jupyter Notebook, in Launcher, click on Pipeline Editor, and drag and drop the stars-classification.ipynb file

While you are on Pipeline Editor, click on the Notebook and open up the properties

Add Stars.csv as a file dependency.

Run the pipeline from Elyra

Open the OpenShift AI dashboard, go to Data Science Pipelines and setup schedule for 24 hours