[ERROR] ActiveHyperparameterNotSetError

OS: Ubuntu 24.04(x86_64)
Python version : 3.8.19
Install method : pip install autoPyTorch[forecasting]

Code (In a nutshell example)
---------------------------------------------
from autoPyTorch.api.tabular_classification import TabularClassificationTask

# data and metric imports
import sklearn.model_selection
import sklearn.datasets
import sklearn.metrics
X, y = sklearn.datasets.load_digits(return_X_y=True)
X_train, X_test, y_train, y_test = \
sklearn.model_selection.train_test_split(X, y, random_state=1)

# initialise Auto-PyTorch api
api = TabularClassificationTask()

# Search for an ensemble of machine learning algorithms
api.search(
X_train=X_train,
y_train=y_train,
X_test=X_test,
y_test=y_test,
optimize_metric='accuracy',
total_walltime_limit=300,
func_eval_time_limit_secs=50
)

# Calculate test accuracy
y_pred = api.predict(X_test)
score = api.score(y_pred, y_test)
print("Accuracy score", score)

Error message
---------------------------------------------------------------------------
ActiveHyperparameterNotSetError Traceback (most recent call last)
Cell In[5], [line 1](vscode-notebook-cell:?execution_count=5&line=1)
----> [1](vscode-notebook-cell:?execution_count=5&line=1) api.search(
[2](vscode-notebook-cell:?execution_count=5&line=2) X_train=X_train,
[3](vscode-notebook-cell:?execution_count=5&line=3) y_train=y_train,
[4](vscode-notebook-cell:?execution_count=5&line=4) X_test=X_test,
[5](vscode-notebook-cell:?execution_count=5&line=5) y_test=y_test,
[6](vscode-notebook-cell:?execution_count=5&line=6) dataset_name='digits',
[7](vscode-notebook-cell:?execution_count=5&line=7) optimize_metric='accuracy',
[8](vscode-notebook-cell:?execution_count=5&line=8) total_walltime_limit=300,
[9](vscode-notebook-cell:?execution_count=5&line=9) func_eval_time_limit_secs=50
[10](vscode-notebook-cell:?execution_count=5&line=10) )

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:450, in TabularClassificationTask.search(self, optimize_metric, X_train, y_train, X_test, y_test, dataset_name, feat_types, budget_type, min_budget, max_budget, total_walltime_limit, func_eval_time_limit_secs, enable_traditional_pipeline, memory_limit, smac_scenario_args, get_smac_object_callback, all_supported_metrics, precision, disable_file_output, load_models, portfolio_selection, dataset_compression)
[437](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:437) self._dataset_compression = get_dataset_compression_mapping(memory_limit, dataset_compression)
[439](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:439) self.dataset, self.input_validator = self._get_dataset_input_validator(
[440](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:440) X_train=X_train,
[441](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:441) y_train=y_train,
(...)
[447](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:447) dataset_compression=self._dataset_compression,
[448](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:448) feat_types=feat_types)
--> [450](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:450) return self._search(
[451](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:451) dataset=self.dataset,
[452](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:452) optimize_metric=optimize_metric,
[453](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:453) budget_type=budget_type,
[454](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:454) min_budget=min_budget,
[455](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:455) max_budget=max_budget,
[456](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:456) total_walltime_limit=total_walltime_limit,
[457](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:457) func_eval_time_limit_secs=func_eval_time_limit_secs,
[458](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:458) enable_traditional_pipeline=enable_traditional_pipeline,
[459](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:459) memory_limit=memory_limit,
[460](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:460) smac_scenario_args=smac_scenario_args,
[461](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:461) get_smac_object_callback=get_smac_object_callback,
[462](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:462) all_supported_metrics=all_supported_metrics,
[463](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:463) precision=precision,
[464](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:464) disable_file_output=disable_file_output,
[465](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:465) load_models=load_models,
[466](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:466) portfolio_selection=portfolio_selection,
[467](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/tabular_classification.py:467) )

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1011, in BaseTask._search(self, optimize_metric, dataset, budget_type, min_budget, max_budget, total_walltime_limit, func_eval_time_limit_secs, enable_traditional_pipeline, memory_limit, smac_scenario_args, get_smac_object_callback, tae_func, all_supported_metrics, precision, disable_file_output, load_models, portfolio_selection, dask_client, **kwargs)
[1009](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1009) # Initialise information needed for the experiment
[1010](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1010) experiment_task_name: str = 'runSearch'
-> [1011](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1011) dataset_requirements = get_dataset_requirements(
[1012](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1012) info=dataset.get_required_dataset_info(),
[1013](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1013) include=self.include_components,
[1014](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1014) exclude=self.exclude_components,
[1015](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1015) search_space_updates=self.search_space_updates)
[1016](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1016) self._dataset_requirements = dataset_requirements
[1017](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/api/base_task.py:1017) dataset_properties = dataset.get_dataset_properties(dataset_requirements)

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:75, in get_dataset_requirements(info, include, exclude, search_space_updates)
[69](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:69) return _get_regression_dataset_requirements(info,
[70](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:70) include if include is not None else {},
[71](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:71) exclude if exclude is not None else {},
[72](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:72) search_space_updates=search_space_updates
[73](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:73) )
[74](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:74) elif task_type in CLASSIFICATION_TASKS:
---> [75](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:75) return _get_classification_dataset_requirements(info,
[76](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:76) include if include is not None else {},
[77](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:77) exclude if exclude is not None else {},
[78](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:78) search_space_updates=search_space_updates
[79](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:79) )
[80](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:80) else:
[81](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:81) if not forecasting_dependencies_installed:

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:116, in _get_classification_dataset_requirements(info, include, exclude, search_space_updates)
[113](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:113) task_type = STRING_TO_TASK_TYPES[info['task_type']]
[115](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:115) if task_type in TABULAR_TASKS:
--> [116](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:116) return TabularClassificationPipeline(
[117](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:117) dataset_properties=info,
[118](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:118) include=include, exclude=exclude,
[119](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:119) search_space_updates=search_space_updates
[120](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:120) ).get_dataset_requirements()
[121](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:121) elif task_type in IMAGE_TASKS:
[122](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:122) return ImageClassificationPipeline(
[123](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:123) dataset_properties=info,
[124](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:124) include=include, exclude=exclude,
[125](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:125) search_space_updates=search_space_updates
[126](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/utils/pipeline.py:126) ).get_dataset_requirements()

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:128, in TabularClassificationPipeline.__init__(self, config, steps, dataset_properties, include, exclude, random_state, init_params, search_space_updates)
[117](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:117) def __init__(
[118](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:118) self,
[119](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:119) config: Optional[Configuration] = None,
(...)
[126](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:126) search_space_updates: Optional[HyperparameterSearchSpaceUpdates] = None
[127](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:127) ):
--> [128](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:128) super().__init__(
[129](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:129) config, steps, dataset_properties, include, exclude,
[130](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:130) random_state, init_params, search_space_updates)
[132](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:132) # Because a pipeline is passed to a worker, we need to honor the random seed
[133](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:133) # in this context. A tabular classification pipeline will implement a torch
[134](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:134) # model, so we comply with https://pytorch.org/docs/stable/notes/randomness.html
[135](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:135) torch.manual_seed(self.random_state.get_state()[1][0])

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:104, in BasePipeline.__init__(self, config, steps, dataset_properties, include, exclude, random_state, init_params, search_space_updates)
[101](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:101) else:
[102](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:102) self.steps = steps
--> [104](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:104) self.config_space = self.get_hyperparameter_search_space()
[106](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:106) if config is None:
[107](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:107) self.config = self.config_space.get_default_configuration()

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:262, in BasePipeline.get_hyperparameter_search_space(self)
[256](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:256) """Return the configuration space for the CASH problem.
[257](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:257)
[258](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:258) Returns:
[259](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:259) ConfigurationSpace: The configuration space describing the Pipeline.
[260](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:260) """
[261](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:261) if not hasattr(self, 'config_space') or self.config_space is None:
--> [262](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:262) self.config_space = self._get_hyperparameter_search_space(
[263](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:263) dataset_properties=self.dataset_properties,
[264](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:264) include=self.include,
[265](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:265) exclude=self.exclude,
[266](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:266) )
[267](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:267) return self.config_space

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:260, in TabularClassificationPipeline._get_hyperparameter_search_space(self, dataset_properties, include, exclude)
[256](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:256) dataset_properties['target_type'] = 'tabular_classification'
[257](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:257) # get the base search space given this
[258](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:258) # dataset properties. Then overwrite with custom
[259](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:259) # classification requirements
--> [260](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:260) cs = self._get_base_search_space(
[261](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:261) cs=cs, dataset_properties=dataset_properties,
[262](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:262) exclude=exclude, include=include, pipeline=self.steps)
[264](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:264) # Here we add custom code, that is used to ensure valid configurations, For example
[265](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:265) # Learned Entity Embedding is only valid when encoder is one hot encoder
[266](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/tabular_classification.py:266) if 'network_embedding' in self.named_steps.keys() and 'encoder' in self.named_steps.keys():

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:376, in BasePipeline._get_base_search_space(self, cs, dataset_properties, include, exclude, pipeline)
[367](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:367) choices_list = find_active_choices(
[368](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:368) matches, node, node_idx,
[369](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:369) dataset_properties,
[370](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:370) include.get(node_name),
[371](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:371) exclude.get(node_name)
[372](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:372) )
[374](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:374) # ignore type check here as mypy is not able to infer
[375](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:375) # that isinstance(node, autoPyTorchChooice) = True
--> [376](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:376) sub_config_space = node.get_hyperparameter_search_space( # type: ignore[call-arg]
[377](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:377) dataset_properties, include=choices_list)
[378](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:378) cs.add_configuration_space(node_name, sub_config_space)
[380](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:380) # If the node is a choice, we have to figure out which of its
[381](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:381) # choices are actually legal choices
[382](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/base_pipeline.py:382) else:

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:213, in FeatureProprocessorChoice.get_hyperparameter_search_space(self, dataset_properties, default, include, exclude)
[210](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:210) config_space = available_[name].get_hyperparameter_search_space(dataset_properties, # type:ignore
[211](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:211) **updates)
[212](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:212) parent_hyperparameter = {'parent': preprocessor, 'value': name}
--> [213](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:213) cs.add_configuration_space(name, config_space,
[214](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:214) parent_hyperparameter=parent_hyperparameter)
[216](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:216) self.configuration_space = cs
[217](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/feature_preprocessing/__init__.py:217) self.dataset_properties = dataset_properties

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:446, in ConfigurationSpace.add_configuration_space(self, prefix, configuration_space, delimiter, parent_hyperparameter)
[443](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:443) conditions_to_add.append(EqualsCondition(param, parent, value))
[445](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:445) if len(conditions_to_add) > 0:
--> [446](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:446) self.add(conditions_to_add)
[448](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:448) return configuration_space

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:351, in ConfigurationSpace.add(self, *args)
[348](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:348) self._dag.add_forbidden(forbidden)
[350](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:350) self._len = len(self._dag.nodes)
--> [351](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:351) self._check_default_configuration()

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:915, in ConfigurationSpace._check_default_configuration(self)
[912](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:912) else:
[913](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:913) values[hp_name] = hp.default_value
--> [915](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration_space.py:915) return Configuration(self, values=values)

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:126, in Configuration.__init__(self, configuration_space, values, vector, allow_inactive_with_values, origin, config_id)
[123](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:123) self._values[key] = value
[124](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:124) self._vector[i] = hp.to_vector(value) # type: ignore
--> [126](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:126) self.check_valid_configuration()
[128](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:128) elif vector is not None:
[129](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:129) if not isinstance(vector, np.ndarray):

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:160, in Configuration.check_valid_configuration(self)
[153](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:153) """Check if the object is a valid.
[154](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:154)
[155](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:155) Raises:
[156](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:156) ValueError: If configuration is not valid.
[157](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:157) """
[158](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:158) from ConfigSpace.util import check_configuration
--> [160](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:160) check_configuration(
[161](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:161) self.config_space,
[162](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:162) self._vector,
[163](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:163) allow_inactive_with_values=self.allow_inactive_with_values,
[164](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/configuration.py:164) )

File ~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:593, in check_configuration(space, vector, allow_inactive_with_values)
[591](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:591) hp_name = space.at[idx]
[592](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:592) hp = space[hp_name]
--> [593](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:593) raise ActiveHyperparameterNotSetError(hp)
[595](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:595) for hp_idx, hp_node in cnode.unique_children.items():
[596](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:596) # OPTIM: We bypass the larger safety checking of the hp and access
[597](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:597) # the underlying transformer directly
[598](https://vscode-remote+ssh-002dremote-002bjongwoo-002dultra.vscode-resource.vscode-cdn.net/home/jwpark0921/rra-ml-study/autopytorch_study/~/miniconda3/envs/auto-pytorch/lib/python3.8/site-packages/ConfigSpace/util.py:598) transformer = hp_node.hp._transformer

ActiveHyperparameterNotSetError: Hyperparameter is active but has no value set.
SelectRatesClassification:mode, Type: Categorical, Choices: {fpr, fdr, fwe, percentile}, Default: fpr