Reputation
Badges 1
21 × Eureka!I want to play with the experiment and reproduce it 1:1.
I managed to it with the advice of UnevenDolphin73 is there a different way to do it?
Seems like a quiet important feature for basic matrices comparison no ?
Thanks! I'll try runing it with iteration=0 and then adding the value as a field in the experiment overview.
I started to explore clearml as an experiment tracker and I run a simple example of sklearn randomForest. I want to log the accuracy score to compare few experiments based on this index and I'm not sure how to log it.
This is a simple use case not a scalar and iterations.
I thought I'll have a way to compare my models accuracy, precision, recall etc through the web UI
If I'll have time I will take a look 🙂 https://github.com/allegroai/clearml/issues/400
Maybe you can also help me with this:
I'm getting this errors: but it seems like everything is still uploaded correctly so I can't understand why this errors appear.
` 2022-01-18 11:42:16,929 - clearml.storage - ERROR - Failed uploading: cannot schedule new futures after interpreter shutdown
2022-01-18 11:42:16,930 - clearml.storage - ERROR - Failed uploading: cannot schedule new futures after interpreter shutdown
2022-01-18 11:42:16,931 - clearml.storage - ERROR - Failed uploading: cannot sc...
And is there an option to migrate the experiments to a different user workspace?
So if the owner delete the account the entire workspace will be deleted as well?
AgitatedDove14 Updating that the clearml-pycharm-plugin solved the issue.
Even though I run on a remote machine, the git info updated from pycharm.
Thanks!
Yes I'm using PyCharm and connecting remote machine via ssh interpreter.
Sounds interesting I will check it out.
Thanks
Can you direct me to the instructions for doing that?
self.notify('Logging feature importance') feature_importance_series = feature_importance_series[:limit] sns.barplot(feature_importance_series.values, feature_importance_series.index) plt.title('feature importance') plt.show()