Multi-Modal Machine-Learning Model Training for Search

In a digital medium training environment, a system comprising:

• a multi-mode selection module implemented by a processor to output a preview mode representation and an expanded mode representation;
• a preview mode training module implemented by the processor to generate a preview segment responsive to selection of the preview mode representation, the preview mode training module including:
• a sampling module to generate base training data by sampling corresponding usage data from a base set of entities, defined by a base segment, taken from a plurality of entities included in a data lake;
• a search module to generate search results using a base machine-learning model trained using the base training data, the search results indicating event occurrence probabilities for the plurality of entities;
• a user interface module to receive, via a user interface, a user input specifying an amount of reach or accuracy through interaction with a base accuracy/reach graph generated from the search results in real time;
• and
• a segment generation module to generate the preview segment based on the user input and the base segment;
• and
• an expanded mode training module configured to persist the preview segment as an expanded segment through scheduled training of an expanded machine-learning model responsive to selection of the expanded mode representation.

In a digital medium environment for search, a system comprising:

• means for receiving an input requesting generation of a preview segment from a base segment;
• means for displaying, in real time responsive to the input, a base accuracy/reach graph in a user interface, the displaying means including:
• means for generating base training data by sampling corresponding usage data from a base set of entities, defined by the base segment, taken from a plurality of entities included in a data lake;
• means for training a base machine-learning model using the base training data;
• means for generating search results, using the base machine-learning model, indicating event occurrence probabilities for the plurality of entities;
• and
• means for generating the base accuracy/reach graph from the search results;
• means for generating the preview segment based on a user input specifying an amount of reach or accuracy via the base accuracy/reach graph.