AUTOMATIC PERFORMANCE OF COMPUTER ACTION(S) RESPONSIVE TO SATISFACTION OF MACHINE-LEARNING BASED CONDITION(S)

摘要

Implementations are directed to automatically performing one or more computer actions responsive to satisfaction of one or more machine learning (ML)-based conditions. Some implementations are directed to determining which ML-based condition(s) to render in an automation interface and/or how to render the machine-learning based conditions in the automation interface. Those implementations can result in a reduced quantity of user inputs (or even no user inputs) being needed to define action condition(s) for computer action(s). Those implementations can additionally or alternatively result in a shortened duration of interaction in defining the action condition(s), which can reduce the duration that component(s) of a client device, being used to interact with the interface, are active and/or are active at a higher-powered state.