Parsing issue in ergo core about ergo HOT 24 CLOSED

oook, so the problem is caused by sklearn, the new version broke backwards compatibility by removing the micro avg metric and replacing it with accuracy which has less columns in the classification_report ... working on a fix for both

ironically, it was my environment to be outdated, apologies.

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yes

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So I've inserted the following line at line 30 (original file, not the capture above):
if len(row) > len(measures):
And if you don't care about the json report it seems to be fixing it.

Side note: That'd be great to mention you also need to install python3-tk package somewhere in the doc

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could you attach the dataset so I can reproduce it?

Besides:

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Ok for the doc, thanks.
The dataset is yours, from the pe-av example.

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I just loaded the dataset with no issue whatsoever, maybe some more details about your config? can you post here the output of ergo info ?

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Sure. EDIT: Can you tell me what versions of tf/keras you have ?
Also Ubuntu 16.04, Python 3.5.2

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Can you try:

sudo pip3 uninstall tensorflow
sudo pip3 install tensorflow==1.12.0

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Ok, done. I'm restarting a training.

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Hi Tigzy,

It's very odd that you don't have those metrics in the report. That's generated from sklearn. Can you please report the output of this code snippet:

from sklearn.metrics import classification_report
from sklearn import __version__
print (__version__)
a = [ 0,1,0,1]
b = [0,1,1,0]
print (classification_report(a,b))

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tf to 1.12 didn't fix, let me get this output @nicochidt

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to be honest i'm glad it didn't, it'd be very f weird

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Here you go (don't mind my monkey typing :p)
It's not there either...

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this is what you should be seeing ...

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Maybe I should revert to version 0.20 ? Is that a python module ?

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Wtf 0.0 version.... :/

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Thanks a lot ! So in theory if I want to continue working on it today I just need to revert sklearn to 0.20 right ?

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Oh I see there's a fix already, neat.

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or just uninstall ergo-ai and install this repo from sources

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yeah yeah I was heading this way rather.

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Was looking at the fix and shouldn't it be a label replacement somewhere as well? Where's that accuracy VS micro avg defined?

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i don't understand the question ... the new version just does not present any micro average, but instead there's a new global accuracy metric

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The question is: I see there's None returned when unable to parse properly
Isn't that possible to have actual accuracy (the old micro avg) values instead of just handle the parsing issue and ignore rows ?

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Oh OK I think I understand. The new accuracy doesn't replace micro AVG, it's a totally other metric that only has f1-score and support, am I right ?

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