No, they're not in Tensorboard
Yep that makes sense
Logger.current_logger().report_scalar("test", test_metric, posttrain_metrics[test_metric], 0)
That seems like a great solution
This seems to work:
` from clearml import Logger
for test_metric in posttrain_metrics:
print(test_metric, posttrain_metrics[test_metric])
#report_scalar(title, series, value, iteration)
Logger.current_logger().report_scalar("test", test_metric, posttrain_metrics[test_metric], 0) `
AgitatedDove14 yes, I called init and tensorboard is installed. It successfully uploaded the metrics from trainer.train(), just not from the next cell where we do trainer.predict
By default the pl Trainer will output everything to TB, which we automatically store. But verify that TB is installed