Can I see visualization of for example categorical columns as bar graphs?
Oh, I think that is for a very small data. I don't think it works for me.
I will have to go for matplotlib or seaborn options.
you can upload the df as artifact.
Or the statistics as a DataFrame and upload as artifact ?
with
df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
'num_wings': [2, 0, 0, 0],
'num_specimen_seen': [10, 2, 1, 8]},
index=['falcon', 'dog', 'spider', 'fish'])
import clearml
task = clearml.Task.current_task()
task.get_logger().report_table(title='table example', series='pandas DataFrame', iteration=0, table_plot=df)
# logger.report_table(title='table example',series='pandas DataFrame',iteration=0,table_plot=df)
task.close()
I mean, depend on what do you want to report ... if you want to stick to table, I suggest earlier to gather your stats in table format ...
Otherwise, matplotlib seems to be the most user friendly way
if you want plot, you can simply generate plot with matplotlib and clearml can upload them in the Plot or Debug Sample section
Yeah actually you are right. I can report the stats as a table, not the whole data.
yup, you have the flexibility and option, that what so nice with ClearML
report_table seems to be the most straight forward without matplotlib integration. Do you think it has plotting features?
because, the param name that takes in the df is table_plot
At least I can do that along with matplotlib
I also use this: None
Which can give more control
and just came across this: None
That sounds like what you may be looking for