v1.2.0

• Rename ELM class to MultiLayerELM class. This new class can be used to define deep ELM network
  by layer_sizes parameter.
• Add AutomatedMhaElmTuner class that can be used to perform hyperparameter tuning for MhaElm models using
  either GridSearchCV or RandomizedSearchCV. Provides an interface for fitting and predicting using the best found model.
• Add AutomatedMhaElmComparator class that automatic compare different MhaElm models based on provided optimizer
  configurations. It provides methods for cross-validation and train-test split evaluation.
• Update docs, examples, and tests.