More routes/methods to implement pre-post processing about deepaas

[vykozlov]

In a very general case, data-processing might be an asset in itself, like we may have modules which do only 'training' (e.g. benchmarks), we may have modules with only predict (well-trained model, only inference is published), why not to complement with modules which focus on data-processing. Not sure, but this could be, e.g.:

GET  /v3/dataops/usermodel/          # returns list of dataops methods available, e.g. [acquire, parse, augment, clean, convert]
POST /v3/dataops/usermodel/acquire      # configure and execute data acquisition
POST /v3/dataops/usermodel/parse        # configure and execute parsing of data
POST /v3/dataops/usermodel/augment     # data augmentation
POST /v3/dataops/usermodel/clean         # data cleaning
POST /v3/dataops/usermodel/convert       # data format conversion
POST /v3/dataops/usermodel/process       # execute combination of dataops, input is RequestBody JSON with corresponding dataop and parameters (?)

OR it is still under "models":

GET  /v3/models/usermodel/dataops/       # returns list of dataops methods available
POST /v3/models/usermodel/dataops/acquire
POST /v3/models/usermodel/dataops/parse
POST /v3/models/usermodel/dataops/augment
POST /v3/models/usermodel/dataops/clean
POST /v3/models/usermodel/dataops/convert
POST /v3/models/usermodel/dataops/process 

For evaluation it should be easy:

POST /v3/models/usermodel/evaluate/       # to evaluate model on the testing dataset (e.g. model changed or test data changed)