Tensorflow Precision / Recall / F1 score and Confusion matrix

Question

I would like to know if there is a way to implement the different score function from the scikit learn package like this one :

from sklearn.metrics import co         


        

Answer 1

Use the metrics APIs provided in tf.contrib.metrics, for example:

labels = ...
predictions = ...

accuracy, update_op_acc = tf.contrib.metrics.streaming_accuracy(labels, predictions)
error, update_op_error = tf.contrib.metrics.streaming_mean_absolute_error(labels, predictions)

sess.run(tf.local_variables_initializer())
for batch in range(num_batches):
  sess.run([update_op_acc, update_op_error])
accuracy, mean_absolute_error = sess.run([accuracy, mean_absolute_error])