Methods and apparatus for machine learning predictions of manufacturing processes

One or more non-transitory computer memory devices storing software instruction for controlling one or more processors to provide:

• a graphical user interface configured to receive, at a processor and from a remote compute device, a manufacturing process request, wherein the manufacturing process request includes a digital model representative of a physical object to be manufactured;
• and
• a predictive engine configured to generate at least one non-deterministic predictive value associated with manufacturing the physical object, wherein the predictive engine is configured based at least in part upon the digital model or a set of features derived from the digital model, and based at least in part upon one or more machine learning models, at least one of the machine learning models being an unsupervised machine learning model trained with an incomplete training set;
• wherein at least one of the one or more machine learning models is trained using a set of previously manufactured physical objects;
• and
• wherein the graphical user interface is also configured to provide a prediction report associated with manufacturing the physical object, the prediction report including manufacturing cost information based upon the at least one non-deterministic predictive value.