it seems that if I don't use plt.show() it won't show up in Allegro, is this a must?

Btw, I am able to isolate the code that causing the problem. It maybe easier for you to debug.

` import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
from trains import Task

task = Task.init(project_name='examples', task_name='Matplotlib example')
x = [ 1,2,3]
y = [1,2,3]
x = list(x)
y = list(y)
f, ax = plt.subplots(figsize=(50, 0.7 * len(x)))
sns.barplot(y, x, orient="h", ax=ax)
plt.show() `

Great discussion, I agree with you both. For me, we are not using clearml-data, so I am a bit curious how does a "published experiment" locked everything (including input? I assume someone can still just go inside the S3 bucket and delete the file without Clearml noticing).

From my experience, absolute reproducibility is code + data + parameter + execution sequence. For example, random seed or some parallelism can cause different result and could be tricky to deal with sometimes. We did bu...

for workaround, I write a function to recursive cast my config dictionary into string if needed.

I have been using this line to prevent experiments won't accidentally sent to the public server (I have my custom self-hosted server)
Task.set_credentials("PLACEHOLDER", "PLACEHOLDER","PLACEHOLDER")

However, when I upgraded from 0.17.5 -> > 1.0.0. Weird stuff happen.
Since upgrade from v0.17.5 -> > 1.0.0, it has issue replacing the credentials.

Expected Behavior:

Conf should replace the "PLACEHOLDER" is the conf file exist. Else it should fails the experiment.

What happened:

The ...

thanks!

my workaround is making it into string before hand -> but it will breaks if I used trains-agent too since it will accept a string parameters instead of datetime

This will make the plotting fail

yes

I tried pass the dictionary but the output is not ideal. I would want to have some nested dict like the "execution" > "Source" layout.

As number of parameters can be large, having some hierarchy in the UI will be much easier for comparison

Oh great! This works like a charm

It's for addition filtering only right? My use case is to prevent user accidentally querying the entire database.

I want to achieve something similar we would do in SQL

select * from user_query limit 100;

I don't want user making heavy requests

I want the support for click as well, or is there any adhoc solution?

@<1523701087100473344:profile|SuccessfulKoala55> Thx! I swear I saw it before, but somehow I just overlooked it.

AgitatedDove14
are the data versioning completely different from the Trains Artifact/storage solution? or it's some enhanced feature.

Ok, will prepare a PR and script to reproduce the error

GrumpyPenguin23 yes, those features seems to related to other infrastructure, not Trains (ML experiment management)

for the most common workflow, I may have some csv, which may be updated from time to time

let me know how can I provide better debug message

This log does not always show up, even tho it is logged when I run it on Machine B. In contrast, I run it on Machine A, this message did show up, but nothing is logged.

` 2020-09-10 09:15:06,914 - trains.Task - INFO - Waiting for repository detection and full package requirement analysis
======> WARNING! UNCOMMITTED CHANGES IN REPOSITORY origin <======
2020-09-10 09:15:10,378 - trains.Task - INFO - Finished repository detection and package ...

Ok, then maybe it can be still used as a data versioning solution. Except that I have to manually track the task id (those generate artifact) for versioning myself.

Supplement the error.

I am not sure what's the difference of logging with "configuration" and "hyperparameters", for now , I am only using it as logging, I guess hyperparmeters has special meaning if I want to use "trains" for some other features.

Yup, I am only more familiar with the experiment tracking part, so I don't know if I have a good understanding before I have reasonable knowledge of the entire ClearML system.

VivaciousPenguin66 How are you using the dataset tool? Love to hear more about that.

and the 8 charts are actually identical

It will pop up a window like this, and the program only continues when I close this window.

AgitatedDove14 No, unless I close the window manually.

Disable the matplotlib GUI does work.

It's good that you have version your dataset with name, I have seen many trained model that people just replace the dataset directly.

Thank you!

Cool! Will have a look at the fix when it is done. Thanks a lot AgitatedDove14