Catasta

Features and Changes
* Improved the training remaining time for real
* RegressionTrainInfo class:
* Changed the attribute name from "train_loss" to "train_losses"
* Changed the attribute name from "eval_loss" to "val_losses"
* Added attributes "best_val_loss", "best_train_loss", and "lr_values"
* Deleted the "verbose" argument from training as it does not have a significant impact in performance

Features and Changes
* Improved evaluation time with batch inference
* Deleted predict method from Scaffold
* Changed the name in RegressionEvalInfo from "stds" to "predicted_std"
* Changed the name n RegressionPrediction from "prediction" to "value" and "stds" to "std"
* Implemented Kalman filter to transformations

Features and Changes
* Now the model can be saved to the specified path
* A new class has been added to make the predictions given a model
* Improved the error message of the regression dataset when the path is not found
* Now "/" is added at then end of the path if not specified
* The learning rate is now displayed in scientific notation
* Deleted ms/batch metric

Bug fixes
* Now the model state manager saves the first model state so it is not empty when saved
* The time remaining is displayed more accurately