Sampling-based preview mode for a data intake and query system

A system, comprising:

• one or more data stores including computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions, wherein execution of the computer-executable instructions causes the system to:
• provide a user interface depicting a graph representing a data processing pipeline, wherein the graph comprises a first data processing node of the data processing pipeline interconnected with a machine learning model and a second data processing node of the data processing pipeline, wherein the second data processing node receives input data, transforms the input data into transformed data, and provides the transformed data as an input to the first data processing node, and wherein the first data processing node generates first data based on the transformed data provided as an input to the first data processing node;
• receive, via the user interface, a request to activate a preview mode in association with the machine learning model;
• obtain the first data generated by the first data processing node;
• apply the first data as an input to the machine learning model to generate output data;
• determine that the output data comprises a first number of a first label type and a second number of a second label type;
• select a first subset of the first number of the first label type and a second subset of the second number of the second label type;
• and
• cause the user interface to display a preview of the output data output by the machine learning model that comprises the first subset of the first number of the first label type and the second subset of the second number of the second label type.

A non-transitory computer-readable medium comprising instructions executable by a computing system to:

• provide a user interface depicting a graph representing a data processing pipeline, wherein the graph comprises a first data processing node of the data processing pipeline interconnected with a machine learning model and a second data processing node of the data processing pipeline, wherein the second data processing node receives input data, transforms the input data into transformed data, and provides the transformed data as an input to the first data processing node, and wherein the first data processing node generates first data based on the transformed data provided as an input to the first data processing node;
• receive, via the user interface, a request to activate a preview mode in association with the machine learning model;
• obtain the first data generated by the first data processing node;
• apply the first data as an input to the machine learning model to generate output data;
• determine that the output data comprises a first number of a first label type and a second number of a second label type;
• select a first subset of the first number of the first label type and a second subset of the second number of the second label type;
• and
• cause the user interface to display a preview of the output data output by the machine learning model that comprises the first subset of the first number of the first label type and the second subset of the second number of the second label type.