900e03a46c6a3aeaf6aa1c058f53979134061549,snorkel/learning/logistic_regression.py,LogisticRegression,_build,#LogisticRegression#,31

Before Change

        s1, s2 = self.seed, (self.seed + 1 if self.seed is not None else None)
        self.w = tf.Variable(tf.random_normal((self.d,), stddev=SD, seed=s1))
        self.b = tf.Variable(tf.random_normal((1,), stddev=SD, seed=s2))
        h = tf.nn.bias_add(tf.matmul(self.X, self.w), self.b)
        // Noise-aware loss
        self.loss = tf.reduce_sum(
            tf.nn.sigmoid_cross_entropy_with_logits(logits=h, labels=self.Y)
        )

After Change

        s1, s2 = self.seed, (self.seed + 1 if self.seed is not None else None)
        self.w = tf.Variable(tf.random_normal((self.d, 1), stddev=SD, seed=s1))
        self.b = tf.Variable(tf.random_normal((1,), stddev=SD, seed=s2))
        h = tf.squeeze(tf.nn.bias_add(tf.matmul(self.X, self.w), self.b))
        // Noise-aware loss
        self.loss = tf.reduce_sum(
            tf.nn.sigmoid_cross_entropy_with_logits(logits=h, labels=self.Y)
        )

Instances