Chained feature synthesis and dimensional reduction

A method comprising:

• obtaining a first dataset comprising a first feature set;
• generating a first set of feature values by providing the first dataset to a set of feature primitive stacks, wherein providing the first dataset to the set of feature primitive stacks comprises:
• determining whether a first feature of the first feature set was previously provided to a first feature primitive of the set of feature primitive stacks;
• and
• in response to a determination that the first feature of the first feature set was previously provided to the first feature primitive, retrieving a stored set of feature values associated with the first feature primitive, wherein the first set of feature values comprises the stored set of feature values;
• determining a reduced set of feature values based on the first set of feature values by dimensionally reducing features of the first set of feature values;
• generating an intermediate set of feature values by providing a value of the first dataset and a value of the reduced set of feature values to at least one feature primitive of the set of feature primitive stacks;
• updating the reduced set of feature values by dimensionally reducing features of the intermediate set of feature values;
• and
• storing a second dataset comprising features of the intermediate set of feature values in association with the first feature set.

A set of non-transitory, machine-readable media storing program instructions that, when executed by a set of processors, causes the set of processors to perform operations comprising:

• obtaining a first dataset comprising a first feature set;
• generating a first set of feature values by providing the first dataset to a set of feature primitive stacks, wherein the set of feature primitive stacks does not comprise a second feature primitive stack;
• determining a reduced set of feature values based on the first set of feature values by dimensionally reducing features of the first set of feature values;
• generating an intermediate set of feature values by (i) providing a first value of the first dataset and a first value of the reduced set of feature values to at least one feature primitive of the set of feature primitive stacks and (ii) providing a second value of the first dataset and a second value of the reduced set of feature values to the second feature primitive stack;
• updating the reduced set of feature values by dimensionally reducing features of the intermediate set of feature values;
• and
• storing a second dataset comprising features of the intermediate set of feature values in association with the first feature set.