如何使用Autokeras运行具有多个输入的网络?
请参见以下失败的代码示例:
import autokeras as ak
input_node_1 = ak.Input()
input_node_2 = ak.Input()
input_node_1 = ak.ConvBlock()(input_node_1)
concanted_ONE_input = ak.Merge(merge_type="concatenate")([input_node_1,input_node_2])
X = ak.DenseBlock()(concanted_ONE_input) #optional
#Head is the last layer ( end of the network)
output_node = ak.RegressionHead(output_dim = last_layer_size,loss =tf.keras.losses.MAE )(X)
auto_model = ak.AutoModel(inputs= input_node_1,input_node_2],outputs=output_node,overwrite=True,max_trials=100,tuner="greedy")
错误是:
AttributeError: 'Node' object has no attribute 'get_adapter'