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Attempting to execute the example is chapter 2
Python 3.6.9
kubeflow 1.2.0
tensorflow (1.14.0)
requests (2.25.1)
numpy (1.19.5)
Please use tf.one_hot on tensors.
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
...truncated output for readability...
/seldon/ml/mnist-classifier/api/v0.1/predictions
{
"status": {
"code": -1,
"info": "Empty json parameter in data",
"reason": "MICROSERVICE_BAD_DATA",
"status": 1
}
}
Have confirmed request is not empty.
request = {"data": {"names": features, "ndarray": data.tolist()}}
@holdenk Hoping you can help
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