glappen

glappen

Machine Learning in Elixir: Error running last example in Chapter 1 (Evaluating the Trained Model)

@seanmor5

I am enjoying the book so far, but ran into an Elixir error on the last example in chapter 1:

In my last Livebook cell I have:

data = [{x_test, y_test}]

model
|> Axon.Loop.evaluator()
|> Axon.Loop.metric(:accuracy)
|> Axon.Loop.run(data, trained_model_state)```

and I get this error:

** (ArgumentError) cannot broadcast tensor of dimensions {120} to {30}
(nx 0.7.2) lib/nx/shape.ex:345: Nx.Shape.binary_broadcast/4
(nx 0.7.2) lib/nx.ex:5427: Nx.devectorized_element_wise_pred_op/3
(axon 0.6.1) lib/axon/metrics.ex:88: Axon.Metrics.accuracy_transform/4
(axon 0.6.1) lib/axon/metrics.ex:467: anonymous fn/4 in Axon.Metrics.running_average/1
(axon 0.6.1) lib/axon/loop.ex:1974: anonymous fn/5 in Axon.Loop.build_batch_fn/2
(elixir 1.15.7) lib/enum.ex:3945: anonymous fn/4 in Enum.zip_with/3
(elixir 1.15.7) lib/enum.ex:4005: anonymous fn/3 in Enum.zip_reduce/4
#cell:vs5uswexiozx5vnr:6: (file)

I typed in all the examples verbatim up to that point. Any ideas what is going on here?

Thanks,

Greg

Most Liked

gtaranti

gtaranti

My bad!
The code runs correctly…

I’ve had written :

y_test =
  train_df["species"]
  ...

instead of

y_test =
  test_df["species"]
  ...

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