An apparatus includes a processor to: receive a request to perform a set of tasks; analyze
input data objects used as inputs and output data objects generated as outputs by the set of …

Some embodiments include a method of machine learner workflow processing. For
example, a workflow execution engine can receive an interdependency graph of operator …

Some embodiments include a method of generating a compatibility score for a grouping of
objects based on correlations between attributes of the objects. An example grouping is a …

Some embodiments include a machine learner platform. The machine learner platform can
implement a model tracking service to track one or more machine learning models for one or …

Some embodiments include a workflow authoring tool that accesses a text string
representation of a workflow and a text string representation of at least a data processing …

Some embodiments include an experiment management interface for a machine learning
system. The experiment management interface can manage one or more workflow runs …

The present disclosure is directed to a high-capacity training and prediction machine
learning platform that can support high-capacity parameter models (eg, with 10 billion …

Various embodiments are directed to systems and methods for automatically constructing
executable workflows com prising a plurality of executable modules. The system com prises …

Using static analysis for vulnerability detection, including: inspecting, using an
underapproximate static code analysis, a non-executable representation of an application to …

Various embodiments include a classification platform system. A user can define a
classification experiment on the classification platform system. For example, the user can …