unsupported object type BayesianClassification.ipynb

[NoamCodes]

in the last part of BayesianClassification.ipynb the error that we get when trying to run it is an unsupported object type.

[NoamCodes]

`---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in <cell line: 1>()
----> 1 history = bnn.fit( xTrain, tf.one_hot(yTrain,nClasses),
2 epochs=25, verbose=1, batch_size=128, class_weight=class_weight,
3 use_multiprocessing=True, validation_split=0.2)

1 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
101 dtype = dtypes.as_dtype(dtype).as_datatype_enum
102 ctx.ensure_initialized()
--> 103 return ops.EagerTensor(value, ctx.device_name, dtype)
104
105

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int).`

[NoamCodes]

we also get the same error in "BayesianClassification_Binary.ipynb"