How to convert a GCP kubeflow dataset into a pandas dataframe
I figured this out....I needed to put a .output on the input_data variable inside the DataFrame function.
I'm trying to run my first kubeflow pipeline in GCP.  This basically ingest data from a BigQuery data frame then sends that to a dataset where the next component in the pipeline pulls the dataset and runs that data inside a PyMC model.  But I'm getting errors, because the code does not recognize the dataset as a dataframe.
I've tried: df = pd.DataFrame(input_data) but that errors out.
Has anyone had success converting a GCP kubeflow dataset into a pandas dataframe?