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Name | Date | Size | |
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client_secrets.json | 22-Oct-2020 | 267 | |
language_id.txt | 22-Oct-2020 | 143.7K | |
prediction.py | 22-Oct-2020 | 4.7K | |
README | 22-Oct-2020 | 383 | |
setup.sh | 22-Oct-2020 | 490 |
1 Before you can run the prediction sample prediction.py, you must load some csv 2 formatted data into Google Storage. You can do this by running setup.sh with a 3 bucket/object name of your choice. You must first create the bucket you want 4 to use. This can be done with the gsutil function or via the web UI (Storage 5 Access) in the Google APIs Console. 6 7 api: prediction 8 keywords: cmdline 9