Wrappers initialisation from full list of hyper-params

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Feature Description

Wrappers initialisation from full list of hyper-params (including wrapped)

Why this feature?

• It will help us for save/load functions to models.
• It will help running experiment from configs (not supported in framework but often used by users)
• It will simplify code for experiments

Additional context

Interface is not decided. Options are:

1. model_factory method that accepts smth like:

model_type: ials
model_params:
    fit_features_together: True
    implicit_factors: 32
    implicit_alpha: 10

2. accept params in __init__:

ials = ImplicitALSWrapperModel(fit_features_together=True, wrapped_params = {"factors: 32, alpha: 10"})

wrapped_params and initialised instance of wrapped model are both optional and user needs to pass one of them. If none is passed then default params are used.