Is it enough ? CostlyOstrich36

Yes, i run it locally,
its even before i run my script, i run the cell:
task = Task.init(project_name="***2", task_name="***3")It happens only with .ipynb, if my experiment is in .py i don’t have this error.

SweetBadger76 CostlyOstrich36 after trying to run the same code (and ignoring the warning) i get a different error:
ValueError: HyperParameter type <class ‘clearml.automation.parameters.ParameterSet’> not supported yet with OptimizerBOHB
I looked at the “OptimizerOptuna” code, (clearml/automation/optuna/optuna.py) and i saw that the paramset is really not suppurted.
Which optimizer support parameterset?

Thanks! I added an issue

` hyper_task = Task.init(project_name="***",
task_name="hyper-param-tuning",
task_type=Task.TaskTypes.optimizer,
reuse_last_task_id=False)

optimizer = HyperParameterOptimizer(
# specifying the task to be optimized, task must be in system already so it can be cloned
base_task_id=task.id,
# setting the hyper-parameters to optimize
hyper_parameters=[
ParameterSet([{"General/data_module": "", "General/model": "*", "Ge...

and when you compare with oter (same tasks) the clearml title goes over the axis labels

Can you maybe provide me an example of how to use the parameterset?

the code is running on a jupyter server, and it works. the only code that creates this error is the clearml line

plotly 5.11.0

make sure you use the same version as i am

second problem:
fig = px.imshow([[1,2], [3,4]], labels=dict(x="Predicted value", y="Real value"), x=['a', 'b'], y=['a','b'], title="Predicted and real values" ) fig.update_xaxes(side="top") clearml_logger.report_plotly('table test 2', series=f"table test 2 ", iteration=0, figure=fig) task.close()in this example you will see ...

yes

CostlyOstrich36 this code will show you the first issue of headline does over the chart facet col header

parameter_optimization_space = [{
type = “ParameterSet”
name = null
values = [{
General/data_module = “”
General/model = “”
General/homogeneous = true
General/model_kwargs/pooling_flow = “source_to_target”
General/trainer_kwargs/epochs = 2
}]
},
{
type = “UniformParameterRange”
name = “General/data_module_kwargs/”
min_value = 0.001
max_value = 0.005
step_size = 0.001
include_max = true
},
{
...

clearml 1.9.0
clearml-agent 1.5.1

` import plotly.express as px
from clearml import Task
import pandas as pd
df = pd.DataFrame({'a': ['val1', 'val1', 'val1', 'val1', 'val1', 'val1', 'val1', 'val1', 'val1', 'val1', 'val2', 'val2', 'val2', 'val2', 'val2', 'val2'],
'b':['group_a', 'group_a', 'group_a', 'group_a', 'group_b', 'group_b', 'group_b', 'group_b', 'group_b', 'group_b', 'group_a', 'group_a', 'group_a', 'group_a', 'group_b', 'group_b']})
task = Task.init(**{"project_name":"test",
"ta...

Hi, any updates ? CostlyOstrich36