Closed DomenicoMessina closed 3 years ago
Hi @DomenicoMessina, you should pass one of the cast strategies in order to make your code work. For example, with true_positive
metric:
from keras_metrics import metrics
from keras_metrics import casts
binary_true_positive = metrics.true_positive(name="tp", cast_strategy=casts.binary)
I tried to customize keras-metrics, because i want to use a balanced_accuracy as metric. So i added keras-metrics in a folder of my project, but i can't modify ìt as well.
In metrics.py:
def __init__(self, name=None, label=0, cast_strategy=None, **kwargs): super(layer, self).__init__(name=name, **kwargs) self.stateful = True self.label = label self.cast_strategy = cast_strategy self.epsilon = K.constant(K.epsilon(), dtype="float64")
but cast_strategy is called, there is
return self.cast_strategy( y_true, y_pred, dtype=dtype, label=self.label)
cast strategy is not callable! Can someone help me? I'm working for my master thesis.