Graphically managing data classification workflows in a social networking system with directed graphs

A computer readable data storage memory storing computer-executable instructions that, when executed by a computer system, cause the computer system to perform a computer-implemented method, the computer-executable instructions comprising:

• instructions for defining a classification experiment by at least:
• defining an input data space by selecting at least one of data sources interfaced with a classification platform system;
• and
• defining, via a definition user interface of the classification platform system, a workflow configuration of the classification experiment by graphically arranging a directed graph (DG) to connect a plurality of transformation blocks to represent an experiment workflow, wherein the DG specifies how one or more outputs of each transformation block in the experiment workflow are fed into one or more other transformation blocks;
• and
• instructions for scheduling a distributed computation platform to execute the classification experiment according to the input data space and the workflow configuration

A classification platform system, comprising:

• a memory configured to store executable instructions;
• and
• a processor configured by the executable instructions to implement an experiment management engine and a workflow execution engine;
• wherein the experiment management engine is configured to defining a classification experiment by at least:
• defining an input data space by selecting at least one of data sources interfaced with the classification platform system;
• and
• defining, via a definition user interface, by graphically arranging a directed graph (DG) to connect a plurality of transformation blocks to represent an experiment workflow, wherein the DG specifies how one or more outputs of each of the transformation blocks are fed into one or more other transformation blocks;
• and
• wherein the workflow execution engine is configured to schedule a distributed computation platform to execute the classification experiment according to the input data space and the DG.