Double Blind Machine Learning Insight Interface Apparatuses, Methods and Systems

A machine learning workflow decoupling apparatus, comprising:

• a memory;
• a component collection in the memory, including:
• a machine learning workflow decoupler component;
• a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory,
• wherein the processor issues instructions from the machine learning workflow decoupler component, stored in the memory, to:
• obtain, via at least one processor, a decoupled machine learning workflow generation request;
• determine, via at least one processor, a set of decoupled tasks specified via the decoupled machine learning workflow generation request, wherein each decoupled task in the set of decoupled tasks is associated with a corresponding class;
• determine, via at least one processor, dependencies among decoupled tasks in the set of decoupled tasks;
• and
• generate, via at least one processor, a decoupled machine learning workflow structure comprising the set of decoupled tasks and the determined dependencies, wherein the decoupled machine learning workflow structure is executable via a decoupled machine learning workflow controller to produce machine learning results.