Customer Error: Additional hyperparameters are not allowed - Image classification training- Sagemaker
Customer Error: Additional hyperparameters are not allowed - Image classification training- Sagemaker
我正在学习使用 Amazon SageMaker 进行图像分类。我试图按照他们的学习演示 图像分类迁移学习演示 (Image-classification-transfer-learning-highlevel.ipynb
)
我起身开始训练。下面执行。
ic.fit(inputs=data_channels, logs=True)
设置演示中给出的超参数
ic.set_hyperparameters(num_layers=18,
use_pretrained_model=1,
image_shape = "3,224,224",
num_classes=257,
num_training_samples=15420,
mini_batch_size=128,
epochs=1,
learning_rate=0.01,
precission_dtype='float32')
收到客户端错误
ERROR 140291262150464] Customer Error: Additional hyperparameters are not allowed (u'precission_dtype' was unexpected) (caused by ValidationError)
Caused by: Additional properties are not allowed (u'precission_dtype' was unexpected)
有谁知道如何克服这个问题?我也将此报告给 aws 支持。在此处发布以进行共享并获得修复。谢谢!
假设您指的是 https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning-highlevel.ipynb - 您打错了,是 precision_dtype
,而不是 precission_dtype
。
我正在学习使用 Amazon SageMaker 进行图像分类。我试图按照他们的学习演示 图像分类迁移学习演示 (Image-classification-transfer-learning-highlevel.ipynb
)
我起身开始训练。下面执行。
ic.fit(inputs=data_channels, logs=True)
设置演示中给出的超参数
ic.set_hyperparameters(num_layers=18,
use_pretrained_model=1,
image_shape = "3,224,224",
num_classes=257,
num_training_samples=15420,
mini_batch_size=128,
epochs=1,
learning_rate=0.01,
precission_dtype='float32')
收到客户端错误
ERROR 140291262150464] Customer Error: Additional hyperparameters are not allowed (u'precission_dtype' was unexpected) (caused by ValidationError)
Caused by: Additional properties are not allowed (u'precission_dtype' was unexpected)
有谁知道如何克服这个问题?我也将此报告给 aws 支持。在此处发布以进行共享并获得修复。谢谢!
假设您指的是 https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning-highlevel.ipynb - 您打错了,是 precision_dtype
,而不是 precission_dtype
。