netrack keras-metrics issues

netrack / keras-metrics

Metrics for Keras. DEPRECATED since Keras 2.3.0

MIT License

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issues

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sparse_categorical metrics do not work for tensorflow 2.7

#52 henghamao closed 2 years ago
2
TypeError: 'NoneType' object is not callable

#51 DomenicoMessina closed 3 years ago
1
Upgrading keras gives decimal values for true_positive, false_positive, true_negative, false_negative

#50 amolgharat opened 5 years ago
3
Add deprecation warning

#49 ybubnov closed 5 years ago
0
Make initialised metrics picklable.

#48 chrissype closed 2 years ago
0
Metrics are not pickleable

#47 chrissype opened 5 years ago
4
Cross-validation with scikit

#46 ybubnov closed 5 years ago
0
Discrepancy between keras-metrics and scikit-learn

#45 david-b-6 opened 5 years ago
3
Non-Sensical Print Values For Metrics

#44 onurdanaci opened 5 years ago
4
Closing bracket was missing

#43 ashutosh1919 closed 5 years ago
1
I can save the model when recall reaches max by code?

#42 BachTuan975 opened 5 years ago
1
Precision and Recall and F1-Score > 1 ?

#41 hachreak opened 5 years ago
5
Metrics for multi-label..

#40 Sathibhu opened 5 years ago
1
Metrics does not work with tf.keras.estimator.model_to_estimator

#39 NKUCodingCat opened 5 years ago
8
Release version 1.1.0

#38 ybubnov closed 5 years ago
0
Add classes validation

#37 YiqinZhao closed 5 years ago
0
Average recall returns zero value for a single class

#36 ybubnov closed 5 years ago
7
Release 1.1.0 version

#35 ybubnov closed 5 years ago
0
Add Average Recall Metric

#34 YiqinZhao closed 5 years ago
2
Feature request: Multi-class average recall metric

#33 YiqinZhao closed 5 years ago
4
Release version 1.0.0

#32 ybubnov closed 5 years ago
0
Independent metrics

#31 ybubnov closed 5 years ago
0
Added support for sparse labels

#30 aronhoff closed 5 years ago
1
Version 0.0.7

#29 ybubnov closed 5 years ago
0
Separate test for model loading

#28 ybubnov closed 5 years ago
0
Rework model loading

#27 ybubnov opened 5 years ago
7
Example for how to use metric with multi-label (ValueError for more than 2 classes)

#26 NumesSanguis opened 5 years ago
2
Allow saving and loading models (ugly hack).

#25 janstrohbeck closed 5 years ago
5
Bump lib version to 0.0.6

#24 ybubnov closed 5 years ago
0
Allow y_pred to have more than 2 dimensions.

#23 janstrohbeck closed 5 years ago
1
"ValueError: too many values to unpack (expected 2)" on using precision and recall metrics for binary segmentation

#22 JennyLouise closed 5 years ago
8
"FailedPreconditionError" upon using precision and recall metrics

#21 michael-ziedalski opened 5 years ago
6
auc?

#20 yuanjie-ai opened 5 years ago
1
Make metrics stateful

#19 ybubnov closed 6 years ago
0
What does the `reset_states` do?

#18 jyhong836 closed 6 years ago
10
Input support for Tensorflow.data.Dataset

#17 GalAvineri closed 6 years ago
2
Bump package version to 0.0.4

#16 ybubnov closed 6 years ago
0
Fix Div by 0 Nan

#15 dgrahn closed 6 years ago
1
f1_score: nan

#14 gshpychka closed 6 years ago
8
load_model problem

#13 Bjoux2 closed 5 years ago
6
Release version 0.0.3

#12 ybubnov closed 6 years ago
0
Multi-label F1 score

#11 ybubnov closed 6 years ago
0
Add F1 score to metrics

#10 michetonu closed 6 years ago
3
fix copy/paste

#9 jeffgreenca closed 6 years ago
1
Validate only metrics for binary cross etropy

#8 ybubnov closed 6 years ago
1
Release version 0.0.2

#7 ybubnov closed 6 years ago
0
Unit adjustment is added

#6 Avcu closed 6 years ago
2
Multi-label metrics

#5 ybubnov closed 6 years ago
4
Additional if statement to solve the problem of 2 units

#4 Avcu closed 6 years ago
2
Binary classification with 2 units gives wrong precision and recall

#3 Avcu closed 6 years ago
1