<filename>autokeras/const.py
INITIAL_HPS = {
    'image_classifier': [{
        'image_block_1/block_type': 'vanilla',
        'image_block_1/normalize': True,
        'image_block_1/augment': False,
        'image_block_1_vanilla/kernel_size': 3,
        'image_block_1_vanilla/num_blocks': 1,
        'image_block_1_vanilla/separable': False,
        'image_block_1_vanilla/dropout_rate': 0.25,
        'image_block_1_vanilla/filters_0_1': 32,
        'image_block_1_vanilla/filters_0_2': 64,
        'spatial_reduction_1/reduction_type': 'flatten',
        'dense_block_1/num_layers': 1,
        'dense_block_1/use_batchnorm': False,
        'dense_block_1/dropout_rate': 0,
        'dense_block_1/units_0': 128,
        'classification_head_1/dropout_rate': 0.5,
        'optimizer': 'adam'
    }, {
        'image_block_1/block_type': 'resnet',
        'image_block_1/normalize': True,
        'image_block_1/augment': True,
        'image_block_1_resnet/version': 'v2',
        'image_block_1_resnet/pooling': 'avg',
        'image_block_1_resnet/conv3_depth': 4,
        'image_block_1_resnet/conv4_depth': 6,
        'dense_block_1/num_layers': 2,
        'dense_block_1/use_batchnorm': False,
        'dense_block_1/dropout_rate': 0,
        'dense_block_1/units_0': 32,
        'dense_block_1/units_1': 32,
        'classification_head_1/dropout_rate': 0,
        'optimizer': 'adam'
    }],
}

<filename>autokeras/const.py
INITIAL_HPS = {
    'image_classifier': [{
        'image_block_1/block_type': 'vanilla',
        'image_block_1/normalize': True,
        'image_block_1/augment': False,
        'image_block_1_vanilla/kernel_size': 3,
        'image_block_1_vanilla/num_blocks': 1,
        'image_block_1_vanilla/separable': False,
        'image_block_1_vanilla/dropout_rate': 0.25,
        'image_block_1_vanilla/filters_0_1': 32,
        'image_block_1_vanilla/filters_0_2': 64,
        'spatial_reduction_1/reduction_type': 'flatten',
        'dense_block_1/num_layers': 1,
        'dense_block_1/use_batchnorm': False,
        'dense_block_1/dropout_rate': 0,
        'dense_block_1/units_0': 128,
        'classification_head_1/dropout_rate': 0.5,
        'optimizer': 'adam'
    }, {
        'image_block_1/block_type': 'resnet',
        'image_block_1/normalize': True,
        'image_block_1/augment': True,
        'image_block_1_resnet/version': 'v2',
        'image_block_1_resnet/pooling': 'avg',
        'image_block_1_resnet/conv3_depth': 4,
        'image_block_1_resnet/conv4_depth': 6,
        'dense_block_1/num_layers': 2,
        'dense_block_1/use_batchnorm': False,
        'dense_block_1/dropout_rate': 0,
        'dense_block_1/units_0': 32,
        'dense_block_1/units_1': 32,
        'classification_head_1/dropout_rate': 0,
        'optimizer': 'adam'
    }],
}
