Master

machineLearning/nn/observable.py

-from ..utility.format import Format
-from ..utility.trainingObservables import Observable, TrainingObservables
-
-
-class NetworkObservables(TrainingObservables):
-    """
-    Stores all the observables of the training process.
-    It tracks the training and validation loss during training and writes out the learning rate.
-    Additionally, it prints/writes the losses to CLI/a log file and plots the losses after training.
-    """
-    __slots__ = ['losses', 'validation', 'accuracy', 'learningRate']
-
-    def __init__(self, epochs: int) -> None:
-        super().__init__(epochs)
-        self.losses = Observable(epochs, colors='descending')
-        self.validation = Observable(epochs, colors='descending')
-        self.accuracy = Observable(epochs, colors='ascending')
-        self.learningRate = Observable(epochs)