Do you think such a feature exists in ClearML?

Currently this is "fixed" for iterations (which is actually just a integer monotonic value) or the time stamp.
But I cannot see any reason why we could not allow users to control the x-axis title, and to be able to set it in code, I'm assuming this is what you have in mind?

Yeah I think this kind of makes sense to me, any chance you can open a GH issue on this feature request?

Hi @<1523701205467926528:profile|AgitatedDove14> , this is it yes!
A solution for freely choosing the x-axis title in the UI depending on the scalar (e.g., as in the screenshot above, but with "Epochs" instead of "Iterations" for the plot on the left 😉 ).
Do you think such a feature exists in ClearML?

Hi @<1523701205467926528:profile|AgitatedDove14> , that's a very good point!
I found issue " Possibility to choose any scalar for horizontal x-axis #1186 " opened one month ago that is pretty close to what I suggest. I will complement it with my graph screenshots to illustrate the issue!
Thank you for your recommendation 🙇

Oh I see, basically a UI feature.
I'm assuming this is not just changing the x-axis in the UI, but somehow store the x-axis as part of the scalars reported?

Yes, I mean in the UI, just for the title of the x-axis.
For instance, in the graphs below, I am reporting "mIoU" metric by epochs . It's ok for "time" for instance to leave the x-axis title as "Iterations", but for "mIoU", I was wondering if it would be possible to change "Iterations" to "Epochs" for clarity 🙄 .
Thank you again for your reactivity and support! 🙏

Hi @<1663354518726774784:profile|CrookedSeal85>

However, I systematically notice a jump of some number of "ghost iterations" when resuming my trainings...

Try the following:

task = Task.init(..., continue_last_task=0

from the Task.init docstring (Notice this value can be both boolean and integer)

        :param bool continue_last_task: Continue the execution of a 
...
          - An integer - Specify initial iteration offset (override the auto automatic last_iteration_offset). Pass 0, to disable the automatic last_iteration_offset or specify a different initial offset. You can specify a Task ID to be used with `reuse_last_task_id='task_id_here'`

Hi @<1523701205467926528:profile|AgitatedDove14> ,

That was exactly that! Thank you for the hint! ✅ My scalars now get pursued as they should when resuming a training from latest checkpoint! 🤩

Just one more question, do you have any idea about how I could change the x-axis label from "Iterations" to "Epochs" for some specific scalars only? I saw from " ClearML Doc > CearML Fundamentals > Logger > Types of Logged Results " that this should be effectively possible:

Scalars - Time series data. X-axis is always a sequential number, usually iterations but can be epochs or others.

I have checked ClearML code, among others the Reporter and Logger classes, but I can't find it in the code.

Thank you very much in advance for your help again! 🙏

Yes, this is that indeed 😉 , to be able to freely choose the a-axis title depending on whether we intend to log data according to iterations or epochs 😃 .

Just one more question, do you have any idea about how I could change the x-axis label from "Iterations" to "Epochs"

You mean in the UI (i.e. just the title) ? or are you actually reporting iterations instead of epochs? and if so is this auto connected to tensorboard or is it reported manually ?