How to compute f1 in tensorflow












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i have a code which computes the accuracy, but now i want to compute the f1 score.



accuracy_1 = tf.reduce_mean(tf.cast(tf.equal(
tf.argmax(output_1, axis=-1),
tf.argmax(y_1, axis=-1)), tf.float32), name="accuracy_1")
accuracy_2 = tf.reduce_mean(tf.cast(tf.equal(
tf.argmax(output_2, axis=-1),
tf.argmax(y_2, axis=-1)), tf.float32), name="accuracy_2")


How to compute f1 equivalent for the above code. I'm finding it difficult as i am very new to tensorflow.









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    0












    $begingroup$


    i have a code which computes the accuracy, but now i want to compute the f1 score.



    accuracy_1 = tf.reduce_mean(tf.cast(tf.equal(
    tf.argmax(output_1, axis=-1),
    tf.argmax(y_1, axis=-1)), tf.float32), name="accuracy_1")
    accuracy_2 = tf.reduce_mean(tf.cast(tf.equal(
    tf.argmax(output_2, axis=-1),
    tf.argmax(y_2, axis=-1)), tf.float32), name="accuracy_2")


    How to compute f1 equivalent for the above code. I'm finding it difficult as i am very new to tensorflow.









    share







    New contributor




    William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      i have a code which computes the accuracy, but now i want to compute the f1 score.



      accuracy_1 = tf.reduce_mean(tf.cast(tf.equal(
      tf.argmax(output_1, axis=-1),
      tf.argmax(y_1, axis=-1)), tf.float32), name="accuracy_1")
      accuracy_2 = tf.reduce_mean(tf.cast(tf.equal(
      tf.argmax(output_2, axis=-1),
      tf.argmax(y_2, axis=-1)), tf.float32), name="accuracy_2")


      How to compute f1 equivalent for the above code. I'm finding it difficult as i am very new to tensorflow.









      share







      New contributor




      William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      i have a code which computes the accuracy, but now i want to compute the f1 score.



      accuracy_1 = tf.reduce_mean(tf.cast(tf.equal(
      tf.argmax(output_1, axis=-1),
      tf.argmax(y_1, axis=-1)), tf.float32), name="accuracy_1")
      accuracy_2 = tf.reduce_mean(tf.cast(tf.equal(
      tf.argmax(output_2, axis=-1),
      tf.argmax(y_2, axis=-1)), tf.float32), name="accuracy_2")


      How to compute f1 equivalent for the above code. I'm finding it difficult as i am very new to tensorflow.







      machine-learning tensorflow metric





      share







      New contributor




      William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






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      William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 4 mins ago









      William ScottWilliam Scott

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      961




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      New contributor





      William Scott is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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      Check out our Code of Conduct.






















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