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My question is more related to the use of Neptune .
In fact I trained my model and now I want to predict on the test set. I already saved the best model. the experiment is succeed in Neptune .
So, ho can fetch an existing experiment from Neptune and log the confusion matrix?

Hi,

When trying out the Keras Tuner notebook example, trials summaries return number of layers different from the list of units per layer. As shown in the example below, the number of layers is 4 but numbers of units are displayed for 19 layers.

How can I fix it?

Thanks!

XGBoost integration example seems to be missing Graphviz and fails.

It seems that torch==1.6.0 is not available on Windows (though PyTorch site says it should be) and the PL examples don't work.

Hei,

I have tensorboard log files logged from an experiment and I wanted to convert it to neptune experiments. However, when I try to do it, I got following error from the command "! neptune tensorboard output/logs/20210528-101934":

>Cannot load run from file 'events.out.tfevents.1622186389.keras.22115.0'. Expecting value: line 1 column 1 (char 0)

My stack is:

• tensorboard==2.5.0
• neptune-client==0.9.15
• neptune-tensorboard==0.5.1