TwentyTwentyOne

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class F1Score(tf.keras.metrics.Metric): def __init__(self, name='F1Score', **kwargs): super(F1Score, self).__init__(name=name, **kwargs) self.f1score = self.add_weight(name='F1Score', initializer='zeros') self.count = self.add_weight(name='F1ScoreCount', initializer='zeros') def update_state(self, y_true, y_pred, sample_weight=None): y_true = tf.cast(y_true, tf.bool) y_pred = tf.cast(y_pred, tf...