feat: Allow ModelTrainer to accept hyperparameters file

[benieric]

Issue #, if available:

Description of changes:

• This PR allows users to set hyperparameters via a yaml or json file
• Also gives adds integs for additional hp contracts using custom tooling like OmegaConf

Example Customer Usage

Example hyperparameters.yaml file

batch_size: 32
learning_rate: 0.001

Create ModelTrainer with hyperparameters from file

model_trainer = ModelTrainer(
	...,
	hyperparameters="<path>/<to>/hyperparameters.yaml"
)
model_trainer.train()

Load Hyperparameters in training script

import os
import json
from dataclasses import dataclass
from omegaconf import OmegaConf


# Access as dictionary
hp_dict = json.loads(os.environ["SM_HPS"])
batch_size = hp_dict["batch_size"]


# Access as typed dataclass
@dataclass
class	HPConfig:
    batch_size: int
    learning_rate: float

hp_config: HPConfig = OmegaConf.merge(
	OmegaConf.structured(HPConfig), 
	OmegaConf.create(hp_dict)
)
batch_size = hp_config.batch_size

Testing done:

• Added unit and integ tests

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

General

• I have read the CONTRIBUTING doc
• I certify that the changes I am introducing will be backward compatible, and I have discussed concerns about this, if any, with the Python SDK team
• I used the commit message format described in CONTRIBUTING
• I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
• I have updated any necessary documentation, including READMEs and API docs (if appropriate)

Tests

• I have added tests that prove my fix is effective or that my feature works (if appropriate)
• I have added unit and/or integration tests as appropriate to ensure backward compatibility of the changes
• I have checked that my tests are not configured for a specific region or account (if appropriate)
• I have used unique_name_from_base to create resource names in integ tests (if appropriate)
• If adding any dependency in requirements.txt files, I have spell checked and ensured they exist in PyPi

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.