(self, X)
| 110 | return tf.matmul(Z, tf.transpose(a=self.W)) + self.b |
| 111 | |
| 112 | def forward_output(self, X): |
| 113 | return tf.nn.sigmoid(self.forward_logits(X)) |
| 114 | |
| 115 | def transform(self, X): |
| 116 | # accepts and returns a real numpy array |
nothing calls this directly
no test coverage detected