calsurrogate

calsurrogate is the plug-in library for implementing surrogates with wrappers, with TensorFlow being the prototype implementation

calsurrogate is part of an associated suite of tools

%%{init: { "themeVariables": { "fontSize": "24px" } }}%%
flowchart LR
    subgraph Model Simulations 
    doe[Design of experiments] ---> indsm2@{ shape: docs, label: "DSM2 Inputs"}
	doe ---> inschism@{shape: docs, label: "SCHISM Inputs"}
	doe ---> inrma@{shape: docs, label: "RMA Inputs"}
    indsm2 ---> dsm2[DSM2]
    inschism ---> schism[SCHISM]
    inrma ---> rma[RMA]
	dsm2 ---> cassdata@{shape: cyl, label: "casanntra\n/data"}
	schism --->cassdata
	rma ---> cassdata
    end

    subgraph ANN Training
    cassdata ---> casanntra@{shape: rect, label: "cassantra \nANN training library\Python"}
    casanntra --training--> tf[[TensorFlow 
                     Saved Model]]
    end

    subgraph CalSim Application
    tf --> calsur@{shape: rect, label: "calsurrogate\nJava library"}
    wresl[WRESL new linearization] --revised--> CalSim
    CalSim o--plugin jar--o calsur
    wresl ---> calsur
    end

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The calsurrogate project repo is here An example CalSim study is with the new surrogates. This example is not suitable for production study.

Notes:

Repo for main example analogous to DCR

Sequester the materials for eliminating NDOI and for making D-1641 small/large

Todo:

Eliminate reduced_calls files, both at the station and the ANN level.

Fix MRDO implementations. Use required_flow instead.

Fix X2 and find Fall X2

Deal with all the extra stations which we do/don't have implemented.