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A collection of search space for the DeepHyper package.

Project description


A collection of search space for the DeepHyper package.



Quick Start

Generate a neural architecture space for fully connected networks with residual connections:

from deepspace.tabular import DenseSkipCoSpace

def create_search_space(input_shape=(54,), output_shape=(7,), **kwargs)
    return DenseSkipCoSpace()(input_shape, output_shape, num_layers=10, dropout=0.0)

Generate a neural architecture space for AutoEncoder guided by an estimator:

from deepspace.tabular import SupervisedRegAutoEncoderSpace

factory = SupervisedRegAutoEncoderSpace()(
     input_shape=(100,), output_shape=[(100), (10,)]

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Files for deepspace, version 0.0.6
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