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Simple model and 1 row of data, I think any recent version of python and tensorflow, returns:

tensorflow.python.framework.errors_impl.InternalError: Unable to get element as bytes.

https://github.com/jasonsackett/tferrorgeab

I have searched high and low and tried so many things, but something simple is breaking this and the error message is not helping me very much.

Run with:

python mlturn1a1ssa.py

Thank you for any help.

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2 Answers 2

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UPDATE: hardcoding the data in this line:

g.train_data = dfin.values

to this instead makes it run:

g.train_data = np.array([[0]*4])

so it is something with the dataframe .values transformation, even though the data looks ok when printed.

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UPDATE 2: This simplified example did not exactly reflect my local issue, dropping columns like this does fix it (code is updated): g.train_data = dfin.drop(columns=['ctags', 'ltags', 't']).values
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you have to convert the str to unicode, here is the example 

df=pd.read_csv('test.csv',encoding='utf-8')
reviews = df['review'].values.astype('U')
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