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EnviousStarfish54
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26 Questions, 157 Answers
  Active since 10 January 2023
  Last activity 10 months ago

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151 × Eureka!
0 Votes
30 Answers
1K Views
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Hi, I have a few questions regards to Publish Experiment , I would like to understand what is the use case for it? It turns a experiment into read-only(view)...
3 years ago
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16 Answers
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Is there a way to programatically define api_host/web_host?
4 years ago
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16 Answers
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4 years ago
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Bug reporting: Just updated to trains==0.16.3. Tested with lightgbm==3.0.0 File "/home/nokchan/anaconda3/envs/cba/lib/python3.7/site-packages/trains/binding/...
4 years ago
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6 Answers
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3 years ago
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2 Answers
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Is there a nicer way to program the color for report_scalar? By default it use a color scheme that is very hard to compare when I have multiple lines. I can ...
4 years ago
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8 Answers
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0 Votes 8 Answers 1K Views
Hi, I wonder if the Trains UI could save user UI view? It seems that if I order the column (red) and hit F5, it will re-order again. In contrast, if I move t...
4 years ago
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8 Answers
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4 years ago
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5 Answers
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Is there a way to set default "customizable column"? I want to removed the "started" column and add "description" as default.
4 years ago
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7 Answers
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4 years ago
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Hi, does anyone use mlflow / Weight & Biases / http://neptune.ai before, and how does that compare to allegroai-trains? I am trying to understand the tooling...
4 years ago
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5 Answers
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I am using tasks = Task.get_tasks(project_name='project', task_name='partial_task_name_here') to retrieve my experiments metadata for analysis. I want to exp...
3 years ago
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17 Answers
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3 years ago
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Hi, currently we can add "Tags" on experiments. When filtering the tags in the dashboard, it seems to default to filter as a "OR" condition, is it possible t...
3 years ago
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1 Answers
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Quest about clearml-task I found an example from documentation, how can I pass an argument without value? For example, my entrypoint looks like this original...
3 years ago
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if i had a trains server now, is there any migration guide to switch to clearml?
4 years ago
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And if Allegros trains doc on GitHub as well? I found some documentation are wrong and would like to make PRs along the way.
4 years ago
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[Feature Request] - Support more common type for logging Currently Allegro doesn't support datetime ValueError: Only builtin types (str, int, str, float, lis...
4 years ago
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18 Answers
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is there an enterprise version of trains? if yes, what are the addition features, the website shows allegros enterprise version that seems not related to tra...
4 years ago
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8 Answers
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None . Is there a tab showing the resource usage(CPU/GPU per experiment? I would like to use it to better profiling my code)
4 years ago
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17 Answers
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Trains seems to fail to capture my conda environment, any idea? OS: Window 10
4 years ago
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3 years ago
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Hi, does trains support plotting charts like ROC of precision recall curve?
4 years ago
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Thanks ClearML Team, great to see these requested features are released! Add metric snapshot plot to project overview UI - Show an aggregated view of all pro...
3 years ago
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I hit a issue that I cannot see my matplotlib plot, but it was shown in the panel. any idea?
4 years ago
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I am running trains=0.16.4 python==3.7.5 , and notice that the "Log" page sometimes didn't capture the console log from my program. Is this a known issue, an...
3 years ago
0 I Need To Create Some Meta-Analysis Of My Experiments. Is There A "Dashboard" View For Trains That I Can Create Plots For All Experiments Metadata? If Not, Is There An Easy Way To Export The Tables So I Can Make This Plot Locally. I Want To Create A "Kp

For example, I am logging these metrics as a "configuration/hyperparameters". The reason I am not using report_scalar() because it only support the "last/min/max". This way I can control whatever custom logic I need in my code.

I need to compare the metadata across experiments. Although the dashboard support choosing "min/max/last", it cannot support comparing "the lowest loss" across experiment.

4 years ago
0 Hello! There Is Great Alternative For Argparse Developed By Facebook For Ml Named

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

4 years ago
0 I Need To Create Some Meta-Analysis Of My Experiments. Is There A "Dashboard" View For Trains That I Can Create Plots For All Experiments Metadata? If Not, Is There An Easy Way To Export The Tables So I Can Make This Plot Locally. I Want To Create A "Kp

task_reporting = Task.init(project_name='project', task_name='report') tasks = Task.get_tasks(project_name='project', task_name='partial_task_name_here') for t in tasks: t.get_last_scalar_metrics() task_reporting.get_logger().report_somethingInstead of get_last_scalar_metrics() , I am using t._data.hyperparams['summary'] to get the metrics I needed

4 years ago
0 Dear

Hi, just to be clear, self hosted option is still available right? I need to know this as we have spent some effort on integrating Trains internally and expect to continue the development for a while.

4 years ago
0 Hi, I Have A Few Questions Regards To

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

3 years ago
0 Hi, I Have A Few Questions Regards To

Cool, versioning the difference is useful. It also depends on what kind of data. For example, for tabular data, database might be a natural choice, however, how to integrate it and keep track of the metadata could be tricky. While for images, it probably more suitable for blob storage or per file basis.

3 years ago
0 Hi, I Have A Few Questions Regards To

Oh I did not realize I asked this in a old thread, sorry about that.

3 years ago
0 Hi, I Have A Few Questions Regards To

VivaciousPenguin66 What's your thought on Prefect? There are so many pipeline library and I wasn't so sure how different are they. I have experience with Airflow. With Kedro, we were in hope that data scientist will write the pipeline themselves with minimal effort to handover to another engineer to work on. For serious production (need to scale), we consider convert Kedro pipeline to Airflow, there are plugin to do that, tho I am not sure how mature they are.

3 years ago
0 Hi, I Have A Few Questions Regards To

i.e. some files in a shared drive, then someone silently updated the files and all the experiments become invalid and no one knows when did that happened.

3 years ago
0 Hi, I Have A Few Questions Regards To

lol...... mine is best_model_20210611_v1.pkl and better_model_20210611_v2.pkl or best_baseline_model_with_more_features.pkl

3 years ago
0 Hi, I Have A Few Questions Regards To

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.

3 years ago
0 Bug Reporting: Just Updated To Trains==0.16.3. Tested With Lightgbm==3.0.0

Hi, I think I can confirm this is a bug of Trains. Is that ok if I submit a PR to fix this?

4 years ago
0 Bug Reporting: Just Updated To Trains==0.16.3. Tested With Lightgbm==3.0.0

TimelyPenguin76 It works fine. I may need to check on my side, I just notice it was caused by @funcy.log_durations decorator. It may changes the function signature and causing some issue with it. I don't have time to look into it yet, but the example works fine.

4 years ago
0 Bug Reporting: Just Updated To Trains==0.16.3. Tested With Lightgbm==3.0.0

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

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

potentially both, but let just say structure data first, like CSV, pickle (may not be a table, could be any python object), feather, parquet, some common data format

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

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

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

I am interested in machine learning experiment mangament tools.

I understand Trains already handle a lot of things on the model side, i.e. hyperparameters, logging, metrics, compare two experiments.

I also want it to help reproducible. To achieve that, I need code/data/configuration all tracked.

For code and configuration I am happy with current Trains solution, but I am not sure about the data versioning.

So if you have more details about the dataset versioning with the enterprise offer...

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

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

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

I wonder what's the extra features is offered in the enterprise solution tho

4 years ago
0 Hi

wow, new data version feature and session could be useful

4 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

for the open source version, if I use artifact, if I already have a local file, does it knows to skip downloading it or it will always replace the file? As my dataset is large (~100GBs), I cannot afford it to be re-downloaded everytime

4 years ago
0 Hi, I Have A Few Questions Regards To

AnxiousSeal95 At first sight, the pipeline logic of ClearML seems binding with ClearML quite a bit. Back then I was considering I need something that can convert to Production pipeline (e.g. Airflow DAGs) easily, as we need pipelines not just for Experiments, Airflow seems to be the default one.

Also, clearml-data was not available when we started the development of internal framework. As for clear-agent, from my previous experience, it seems not working great with Window sometimes, and als...

3 years ago
0 Hi, I Have A Few Questions Regards To

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...

3 years ago
0 Is There An Enterprise Version Of Trains? If Yes, What Are The Addition Features,

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.

4 years ago
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