Dynamic analysis and monitoring of machine learning processes

A computer-implemented method, comprising:

• receiving, using at least one processor, and from a device, an identifier of a dataset associated with a machine learning process and feature data that specifies an input feature of the machine learning process;
• using the at least one processor, accessing at least a portion of the dataset based on the received identifier and obtaining, from the accessed portion of the dataset, a feature vector associated with the machine learning process;
• generating, using the at least one processor, a plurality of modified feature vectors based on the obtained feature vector, each of the modified feature vectors comprising a modified feature value of the specified input feature;
• and
• based on an application of the machine learning process to the obtained and modified feature vectors, generating and transmitting, using the at least one processor, first explainability data associated with the specified input feature to the device, the device being configured to execute an application program that presents a graphical representation of the first explainability data within a portion of a digital interface.

An apparatus, comprising:

• a memory storing instructions;
• a communications interface;
• and
• at least one processor coupled to the memory and the communications interface, the at least one processor being configured to execute the instructions to:
• receive, from a device via the communications interface, an identifier of a dataset associated with a trained machine learning process and feature data that specifies an input feature of a machine learning process;
• access at least a portion of the dataset based on the received identifier and obtain, from the accessed portion of the dataset, a feature vector associated with the machine learning process;
• generate a plurality of modified feature vectors based on the obtained feature vector, each of the modified feature vectors comprising a modified feature value of the specified input feature;
• based on an application of the trained machine learning process to the obtained and modified feature vectors, generate and transmit, to the device via the communications interface, monitoring data characterizing a performance or an operation of the trained machine learning model, the device being configured to execute an application program that presents a graphical representation of the monitoring data within a portion of a digital interface.