Currently there are three main steps to obtain predictive models:
Feature generation
Feature reduction
Model generation
CLI integration
They all share and use the common modules video_asset_processor.py and video_metrics.py but make use of different environments (cloud functions, jupyter notebooks, local python scripts and docker images).
It is necessary a seamless integration of all parts.
Currently there are three main steps to obtain predictive models:
They all share and use the common modules video_asset_processor.py and video_metrics.py but make use of different environments (cloud functions, jupyter notebooks, local python scripts and docker images). It is necessary a seamless integration of all parts.