Systems and methods for building and deploying machine learning applications

A system comprising:

• one or more processors configured to execute programming instructions to perform operations to deploy machine learning applications according to respective machine learning workflow specifications, each machine learning workflow specification defining a plurality of components of a corresponding machine learning workflow and defining one or more connections between the plurality of components, each of the plurality of components defining an operation to be performed on data and having an associated context, and each of the one or more connections defining a flow of data between components when the corresponding machine learning workflow is executed, the operations comprising:
• identifying a first group of one or more components of a first machine learning workflow as being associated with a first context, based on a first machine learning workflow specification that represents the first machine learning workflow;
• executing, or causing execution of, the one or more components of the first group in an order according to one or more connections between the one or more components of the first group as defined by the first machine learning workflow specification;
• identifying a second group of one or more components of the first machine learning workflow as being associated with a second context, based on the first machine learning workflow specification;
• and
• executing, or causing execution of, the one or more components of the second group in an order according to one or more connections among the one or more components of the second group as defined by the first machine learning workflow specification.

At least one non-transitory computer-readable medium comprising instructions that, when executed by one or more processors on a computing device, are operable to cause the one or more processors to perform operations to deploy machine learning applications according to respective machine learning workflow specifications, each machine learning workflow specification defining a plurality of components of a corresponding machine learning workflow and defining one or more connections between the plurality of components, each of the plurality of components defining an operation to be performed on data and having an associated context, and each of the one or more connections defining a flow of data between components when the corresponding machine learning workflow is executed, the operations comprising:

• identifying a first group of one or more components of a first machine learning workflow as being associated with a first context, based on a first machine learning workflow specification that represents the first machine learning workflow;
• executing, or causing execution of, the one or more components of the first group in an order according to one or more connections between the one or more components of the first group as defined by the first machine learning workflow specification;
• identifying a second group of one or more components of the first machine learning workflow as being associated with a second context, based on the first machine learning workflow specification;
• and
• executing, or causing execution of, the one or more components of the second group in an order according to one or more connections among the one or more components of the second group as defined by the first machine learning workflow specification.