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

Visibility: public Uploaded 12-07-2017 by Michael Torres sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 8 runs
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Automatically created scikit-learn flow.

Components

estimator

sklearn.svm.classes.SVC(9)

Parameters

draw_samples		default: 150
encoded_params		default: {"@preprocessor": [{"params": {"copy": true, "with_mean": true, "with_std": true}, "source": "sklearn.preprocessing.data.StandardScaler"}], "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"]}
estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
inner_cv		default: 10
max_eval_time		default: 120
n_iter		default: 10
random_search		default: false
scoring		default: "accuracy"
timeout_score		default: 0
use_ei_per_second		default: false
verbose		default: true

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

Components

Parameters

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