Visualization of a model selection process in an automated model selection system

A computer-implemented method, comprising:

• obtaining, by a system operatively coupled to a processor, one or more assessment metrics of a plurality of model pipeline candidates wherein the one or more assessment metrics comprises a percentage of training data allocated to a pipeline candidate by an automated pipeline selection process;
• rendering, by the system, a progress visualization of the plurality of model pipeline candidates based on the one or more assessment metrics, wherein the progress visualization comprises rendering as solid black dots to indicate that various operations have been completed and rendering in dots inside of other dots to indicate evaluation or training is in progress, a first type of line to indicate selected model pipeline candidates and a second type of line to indicate discarded model pipeline candidates;
• and
• wherein the one or more assessment metrics is a build time metric, and wherein a first model pipeline candidate comprises a first combination of a machine learning model, a transformer and an estimator and wherein a second model pipeline candidate comprises a second combination of a machine learning model, a transformer and an estimator.

A computer program product facilitating a visualized model selection process, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• obtain, by the processor, one or more assessment metrics of a first model pipeline candidate and a second model pipeline candidate wherein the one or more assessment metrics comprises a percentage of training data allocated to a pipeline candidate by an automated pipeline selection process;
• render, by the processor, a progress visualization of the first model pipeline candidate and a progress visualization of the second model pipeline candidate based on the one or more assessment metrics, wherein the progress visualization comprises rendering in dots inside of other dots to indicate evaluation or training is in progress, a first type of line to indicate selected model pipeline candidates and a second type of line to indicate discarded model pipeline candidates;
• and
• wherein the one or more assessment metrics is a build time metric, and wherein the first model pipeline candidate comprises a first combination of a machine learning model, a transformer and an estimator and wherein the second model pipeline candidate comprises a second combination of a machine learning model, a transformer and an estimator.