Centralized machine learning predictor for a remote network management platform

An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a remote network management platform, cause the remote network management platform to perform operations comprising:

• operating a first set of computational resources of the remote network management platform to provide an end-user computational instance that is dedicated to a managed network;
• operating a second set of computational resources of the remote network management platform to provide a training computational instance that is configured to perform operations including:
• (i) receiving, from the end-user computational instance, a corpus of textual records, (ii) training, based on the corpus of textual records, a machine learning (ML) model to determine a degree of numerical similarity between input textual records and textual records in the corpus of textual records, and (iii) transmitting, to the end-user computational instance, the ML model;
• and
• operating a third set of computational resources of the remote network management platform to provide a prediction computational instance that is configured to perform operations including:
• (i) receiving, from the end-user computational instance, an additional textual record, (ii) receiving, from the end-user computational instance, the ML model, (iii) determining, by the ML model, respective numerical similarities between the additional textual record and the textual records in the corpus of textual records, and (iv) based on the respective numerical similarities, transmitting, to the end-user computational instance, representations of one or more of the textual records in the corpus of textual records.

A method comprising:

• operating a first set of computational resources of a remote network management platform to provide an end-user computational instance that is dedicated to a managed network;
• operating a second set of computational resources of the remote network management platform to provide a training computational instance that is configured to perform operations including:
• (i) receiving, from the end-user computational instance, a corpus of textual records, (ii) training, based on the corpus of textual records, a machine learning (ML) model to determine a degree of numerical similarity between input textual records and textual records in the corpus of textual records, and (iii) transmitting, to the end-user computational instance, the ML model;
• and
• operating a third set of computational resources of the remote network management platform to provide a prediction computational instance that is configured to perform operations including:
• (i) receiving, from the end-user computational instance, an additional textual record, (ii) receiving, from the end-user computational instance, the ML model, (iii) determining, by the ML model, respective numerical similarities between the additional textual record and the textual records in the corpus of textual records, and (iv) based on the respective numerical similarities, transmitting, to the end-user computational instance, representations of one or more of the textual records in the corpus of textual records.