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Change num_ouput_nodes to num_output_nodes in dice_tensorflow1.py #292

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Merged
gaugup merged 1 commit into from
May 5, 2022
+4 −4
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Change num_ouput_nodes to num_output_nodes in dice_tensorflow1.py #292

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8 changes: 4 additions & 4 deletions dice_ml/explainer_interfaces/dice_tensorflow1.py
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Original file line number Diff line number Diff line change
Expand Up @@ -225,7 +225,7 @@ def do_cf_initializations(self, total_CFs, algorithm, features_to_vary):
def predict_fn(self, input_instance):
"""prediction function"""
temp_preds = self.dice_sess.run(self.output_tensor, feed_dict={self.input_tensor: input_instance})
return np.array([preds[(self.num_ouput_nodes-1):] for preds in temp_preds])
return np.array([preds[(self.num_output_nodes-1):] for preds in temp_preds])

def predict_fn_for_sparsity(self, input_instance):
"""prediction function for sparsity correction"""
Expand All @@ -239,22 +239,22 @@ def compute_yloss(self, method):
if method == "l2_loss":
temp_loss = tf.square(tf.subtract(
self.model.get_output(self.cfs_frozen[i]), self.target_cf))
temp_loss = temp_loss[:, (self.num_ouput_nodes-1):][0][0]
temp_loss = temp_loss[:, (self.num_output_nodes-1):][0][0]
elif method == "log_loss":
temp_logits = tf.log(
tf.divide(
tf.abs(tf.subtract(self.model.get_output(self.cfs_frozen[i]), 0.000001)),
tf.subtract(1.0, tf.abs(tf.subtract(self.model.get_output(
self.cfs_frozen[i]), 0.000001)))))
temp_logits = temp_logits[:, (self.num_ouput_nodes-1):]
temp_logits = temp_logits[:, (self.num_output_nodes-1):]
temp_loss = tf.nn.sigmoid_cross_entropy_with_logits(
logits=temp_logits, labels=self.target_cf)[0][0]
elif method == "hinge_loss":
temp_logits = tf.log(
tf.divide(
tf.abs(tf.subtract(self.model.get_output(self.cfs_frozen[i]), 0.000001)),
tf.subtract(1.0, tf.abs(tf.subtract(self.model.get_output(self.cfs_frozen[i]), 0.000001)))))
temp_logits = temp_logits[:, (self.num_ouput_nodes-1):]
temp_logits = temp_logits[:, (self.num_output_nodes-1):]
temp_loss = tf.losses.hinge_loss(
logits=temp_logits, labels=self.target_cf)

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