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DEV_TODO
r90 r107 1 1 DIRECT: 2 * Standardize the interfaces, also organize imports better3 2 * Add more python optimizers: scipy, OpenOpt, PARK (snobfit) 4 3 * Genertate python bindings to DAKOTA; add DAKOTA optimizers 5 * Modify Sow to accept n-inputs, instead of just two inputs 6 * Allow for derivative and gradient capture 4 * Allow for derivative and gradient capture -> use Sow? 7 5 * Update the parallel branch (pyina), get "handler" to work in parallel (ipd?) 8 6 * Add "constraints" to models (design similar to pyre.inventory and validators) … … 11 9 * Build a failure test suite, and a proper test suite 12 10 * Try one of the VTF apps... or Sean's "cain" library 11 12 (DONE or MOSTLY DONE): 13 * Standardize the interfaces, also organize imports better 14 * Modify Sow to accept n-inputs, instead of just two inputs
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