real-time churn prediction with automl and superset

[sabrinaaquino]

No description provided.

[stella-ds]

In inference.ipynb
def download_model() function is calling download_from_cloud which doesn't exist, need to change it to s3fs.get() or import utils

example_notebooks/Churn-Prediction/pipeline.yaml change the script to the inference.ipynb

readme is the datadownloadable there?

in train.ipynb remove the write to superset part

[sabrinaaquino]

addressed the issues:

"def download_model() function is calling download_from_cloud which doesn't exist, need to change it to s3fs.get() or import utils

example_notebooks/Churn-Prediction/pipeline.yaml change the script to the inference.ipynb

in train.ipynb remove the write to superset part"

[stella-ds]

@sabrinaaquino could you please address the following

• change 'postgresql://superset:superset@example/superset' to os.environ['SUPERSET_HOST_URL']
• put the folder under the folder blog/
• hide the output of the pip install cell in the notebooks
• remove redundant cells like # pip install --upgrade numpy
• add text under Split to Train/Test disclaim that this is an naive way of spliting the train test for demo purposes.
• remove the function upload_to_cloud use just the line for s3 because it's not an useful function for this demo