MAML is expecting more parameters than being passed

[AnirudhM1]

jeta/jeta/maml.py

Lines 14 to 15 in e55bf83

	maml_lr: Float,
	fas: Integer,

The above lines cause an error while running MAML using OptiTrainer

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OptiTrainer calls the function maml_adapt and it's parameters are passed in OptiTrainer itself.

Note: maml_adapt is passed as a parameter to OptiTrainer as adapt_fn

jeta/jeta/opti_trainer.py

Line 145 in e55bf83

theta = adapt_fn(params, apply_fn, loss_fn, support_set)

An error is being thrown because maml_adapt expects the above 2 arguments which are not being passed.

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fas can be included into OptiTrainer as this parameter is common across many Optimization based approaches, but maml_lr can't be included as it is specific to only MAML.
Hence a different approach must be used to allow it as a parameter.

[veds12]

Looks like a bug introduced in #39.
We can add kwargs in OptiTrainer. That will solve the problem of passing maml_lr.