Flow
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)

optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)

Visibility: public Uploaded 05-08-2017 by Jeroen van Hoof sklearn==0.18.2 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.18.2 Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Components

estimatorsklearn.svm.classes.SVC(10)

Parameters

draw_samplesdefault: 10
encoded_paramsdefault: {"@preprocessor": [{"params": {"copy": true, "with_mean": true, "with_std": true}, "source": "sklearn.preprocessing.data.StandardScaler"}, {"params": {"copy": true, "quantile_range": [25.0, 75.0], "with_centering": true, "with_scaling": true}, "source": "sklearn.preprocessing.data.RobustScaler"}], "C": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 16.0, 32.0, 64.0, 128.0, 256.0, 512.0, 1024.0], "gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0], "kernel": ["linear", "poly", "rbf"]}
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
inner_cvdefault: 10
max_eval_timedefault: 120
n_iterdefault: 100
random_searchdefault: false
scoringdefault: "accuracy"
timeout_scoredefault: 0
use_ei_per_seconddefault: false
verbosedefault: true

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