Update import_model docs

[hannah-tillman]

Main file: https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/h2o.html#h2o.import_file

The first sentence clearly say the dataset need exist on the cluster, however it also mentioned “this method imports remote files (i.e. files local to the server)“.

No, you can read a remote files for example from s3, http, but the path must be visible to all h2o nodes:
h2o.import_file("https://raw.githubusercontent.com/h2oai/sparkling-water/master/examples/smalldata/cars_20mpg.csv")

can we use this api to upload file from local laptop to remote h2o cluster or?

yes, you with this method you upload a file which is visible to python client.

it seems we don’t support google cloud storage(gs:/), but i guess we can use https scheme

This should be possible. it’s covered by tests.
List of supported files needs updated here (User Guide) & here (PyDocs).

For rephrase, can use explanation from R-docs.