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MoodySheep3
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3 Questions, 18 Answers
  Active since 10 January 2023
  Last activity 8 months ago

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18 × Eureka!
0 Votes
7 Answers
1K Views
0 Votes 7 Answers 1K Views
Hi when i run Task.init(…) i get the following error: 2022-07-03 18:43:29,022 - clearml.Repository Detection - WARNING - Failed accessing the jupyter server:...
2 years ago
0 Votes
15 Answers
1K Views
0 Votes 15 Answers 1K Views
Hi, I am trying to use the ParameterSet for hyper-parameter tuning with dependencies, an example of how i use it: ParameterSet([{“prm1”:1, “prm2": 1},{“prm1”...
2 years ago
0 Votes
10 Answers
1K Views
0 Votes 10 Answers 1K Views
Hi, i have a visualization issue when using plotly and then “report_plotly” My code is fig=px.pie(X, names='a', facet_col='b') clearml_logger.report_plotly('...
one year ago
0 Hi When I Run Task.Init(…) I Get The Following Error: 2022-07-03 18:43:29,022 - Clearml.Repository Detection - Warning - Failed Accessing The Jupyter Server: 403 Client Error: Forbidden For Url:

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.

2 years ago
0 Hi, I Am Trying To Use The Parameterset For Hyper-Parameter Tuning With Dependencies, An Example Of How I Use It: Parameterset([{“Prm1”:1, “Prm2": 1},{“Prm1”:2, “Prm2":2}]) But I Get A Warning :

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?

2 years ago
0 Hi, I Am Trying To Use The Parameterset For Hyper-Parameter Tuning With Dependencies, An Example Of How I Use It: Parameterset([{“Prm1”:1, “Prm2": 1},{“Prm1”:2, “Prm2":2}]) But I Get A Warning :

` 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...

2 years ago
0 Hi, I Have A Visualization Issue When Using Plotly And Then “Report_Plotly” My Code Is

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

one year ago
one year ago
0 Hi, I Have A Visualization Issue When Using Plotly And Then “Report_Plotly” My Code Is

` 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...

one year ago
0 Hi, I Have A Visualization Issue When Using Plotly And Then “Report_Plotly” My Code Is

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 ...

one year ago
0 Hi, I Have A Visualization Issue When Using Plotly And Then “Report_Plotly” My Code Is

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

one year ago
0 Hi, I Am Trying To Use The Parameterset For Hyper-Parameter Tuning With Dependencies, An Example Of How I Use It: Parameterset([{“Prm1”:1, “Prm2": 1},{“Prm1”:2, “Prm2":2}]) But I Get A Warning :

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
},
{
...

2 years ago