Adding Training Strategies to dae_solvers.jl

[hippyhippohops]

Added in StochasticTraining strategy for generate_loss function

Checklist

• Appropriate tests were added
• Any code changes were done in a way that does not break public API
• All documentation related to code changes were updated
• The new code follows the
  contributor guidelines, in particular the SciML Style Guide and
  COLPRAC.
• Any new documentation only uses public API

Additional context

Add any other context about the problem here.

[hippyhippohops]

I have refactoed the generate_loss function for ode_solve. I just merged all the functions into one main function and added the conditional statements to carry out the different tasks based on the abstract type of the strategy.

[sathvikbhagavan]

No, that was not the issue. The issue was to refactor common computations in generate_loss in ODEs and DAEs into common functions such that we don't repeat ourselves.

[hippyhippohops]

I have added the WeightedIntervalTraining Strategy in dae_solve.jl and the relevant test in NNDAE_test.jl, which the strategy passes. I would like to push that to be merged. My code has been formatted using JuliaFormatter too.

[sathvikbhagavan]

I think we should add rest of the strategies before merging.

[sathvikbhagavan]

Closing this in favour of #876