'Converting tensorflow keras model to coreml model
I am currently working on a personal project and having some trouble trying to convert a trained RNN model to coreml to import into xcode. I have the model saved and successfully loaded to be able to make predictions but when I run this line of code
model1 = ct.convert(model) model1.save('stockmodel.mlmodel') print('model converted') I get this in the terminal from pycharm.
I am new to this and not sure what exactly is going on. My model takes in a collection of data in the form of a .csv file as well as an int to define the time in the future to predict to. Anyone guidance and help would be very appreciated as I have looked over many article and can't seem to understand how to convert it properly.
Also the ct come from this import coremltools as ct
Solution 1:[1]
It appears that before coremltools 5 was released, Python 3.9 was not supported.
Please see:
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Jeshua Lacock |