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Metrics for multi-label..
#40 · Sathibhu opened on May 9, 2019
1

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Upgrading keras gives decimal values for true_positive, false_positive, true_negative, false_negative

#50

· amolgharat opened

on Oct 4, 2019

Metrics are not pickleable

#47

· chrissype opened

on Sep 30, 2019

Discrepancy between keras-metrics and scikit-learn

#45

· david-b-6 opened

on Aug 30, 2019

Non-Sensical Print Values For Metrics

#44

· onurdanaci opened

on Aug 30, 2019

I can save the model when recall reaches max by code?

#42

· BachTuan975 opened

on Jul 14, 2019

Precision and Recall and F1-Score > 1 ?

#41

· hachreak opened

on Jun 25, 2019

Metrics for multi-label..

kind/feature-request

#40

· Sathibhu opened

on May 9, 2019

Metrics does not work with tf.keras.estimator.model_to_estimator

#39

· NKUCodingCat opened

on May 1, 2019

Rework model loading

kind/feature-request

#27

· ybubnov opened

on Jan 21, 2019

Example for how to use metric with multi-label (ValueError for more than 2 classes)

#26

· NumesSanguis opened

on Jan 21, 2019

"FailedPreconditionError" upon using precision and recall metrics

area/algorithms

status/cannot-reproduce

#21

· michael-ziedalski opened

on Dec 12, 2018

auc?

area/algorithms

kind/feature-request

#20

· yuanjie-ai opened

on Dec 7, 2018

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