afa8828a97c2d51f994cdfb35af132f658db3e39,snorkel/learning/disc_models/logistic_regression.py,LogisticRegression,_build_model,#LogisticRegression#Any#,16

Before Change

            f_w_temp = tf.concat([f_w, tf.ones_like(f_w)], axis=1)
            print(f_w_temp.get_shape())
            b_temp = tf.stack([tf.ones_like(self.b), self.b], axis=0)
            print(b_temp.get_shape())
            self.logits = tf.matmul(f_w_temp, b_temp)
        else:
            self.logits = tf.nn.bias_add(tf.matmul(self.X, self.w), self.b)

After Change

        if self.deterministic:
            // TODO: Implement for categorical as well...
            if self.cardinality > 2:
                raise NotImplementedError(
                    "Deterministic mode not implemented for categoricals.")

            // Make deterministic
            // See: https://www.twosigma.com/insights/a-workaround-for-non-determinism-in-tensorflow
            f_w = tf.matmul(self.X, self.w)

Instances