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autosklearn.estimators.AutoSklearnClassifier

autosklearn.estimators.AutoSklearnClassifier

Visibility: public Uploaded 29-07-2019 by Pieter Gijsbers sklearn==0.19.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • auto-sklearn_0.5.1 openml-python python scikit-learn sklearn sklearn_0.19.2
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Automatically created scikit-learn flow.

Parameters

delete_output_folder_after_terminatedefault: true
delete_tmp_folder_after_terminatedefault: true
disable_evaluator_outputdefault: false
ensemble_memory_limitdefault: 1024
ensemble_nbestdefault: 50
ensemble_sizedefault: 50
exclude_estimatorsdefault: null
exclude_preprocessorsdefault: null
get_smac_object_callbackdefault: null
include_estimatorsdefault: null
include_preprocessorsdefault: null
initial_configurations_via_metalearningdefault: 25
logging_configdefault: null
metadata_directorydefault: null
ml_memory_limitdefault: 3072
n_jobsdefault: null
output_folderdefault: null
per_run_time_limitdefault: 360
resampling_strategydefault: "holdout"
resampling_strategy_argumentsdefault: null
seeddefault: 1
shared_modedefault: false
smac_scenario_argsdefault: null
time_left_for_this_taskdefault: 3600
tmp_folderdefault: null

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