I’m working through Classify structured data using Keras preprocessing layers and am getting an error when running the model.fit(train_ds, epochs=10, validation_data=val_ds) block.

---------------------------------------------------------------------------
UnimplementedError                        Traceback (most recent call last)
Cell In[289], line 1
----> 1 model.fit(train_ds, epochs=10, validation_data=val_ds)

File ~anaconda3Libsite-packageskerassrcutilstraceback_utils.py:122, in filter_traceback.<locals>.error_handler(*args, **kwargs)
    119     filtered_tb = _process_traceback_frames(e.__traceback__)
    120     # To get the full stack trace, call:
    121     # `keras.config.disable_traceback_filtering()`
--> 122     raise e.with_traceback(filtered_tb) from None
    123 finally:
    124     del filtered_tb

File ~anaconda3Libsite-packagestensorflowpythoneagerexecute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51 try:
     52   ctx.ensure_initialized()
---> 53   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                       inputs, attrs, num_outputs)
     55 except core._NotOkStatusException as e:
     56   if name is not None:

UnimplementedError: Graph execution error:

Detected at node functional_20_1/Cast_1 defined at (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main

  File "<frozen runpy>", line 88, in _run_code

  File "C:Users-anaconda3Libsite-packagesipykernel_launcher.py", line 17, in <module>

  File "C:Users-anaconda3Libsite-packagestraitletsconfigapplication.py", line 1075, in launch_instance

  File "C:Users-anaconda3Libsite-packagesipykernelkernelapp.py", line 701, in start

  File "C:Users-anaconda3Libsite-packagestornadoplatformasyncio.py", line 205, in start

  File "C:Users-anaconda3Libasynciowindows_events.py", line 322, in run_forever

  File "C:Users-anaconda3Libasynciobase_events.py", line 641, in run_forever

  File "C:Users-anaconda3Libasynciobase_events.py", line 1987, in _run_once

  File "C:Users-anaconda3Libasyncioevents.py", line 88, in _run

  File "C:Users-anaconda3Libsite-packagesipykernelkernelbase.py", line 534, in dispatch_queue

  File "C:Users-anaconda3Libsite-packagesipykernelkernelbase.py", line 523, in process_one

  File "C:Users-anaconda3Libsite-packagesipykernelkernelbase.py", line 429, in dispatch_shell

  File "C:Users-anaconda3Libsite-packagesipykernelkernelbase.py", line 767, in execute_request

  File "C:Users-anaconda3Libsite-packagesipykernelipkernel.py", line 429, in do_execute

  File "C:Users-anaconda3Libsite-packagesipykernelzmqshell.py", line 549, in run_cell

  File "C:Users-anaconda3Libsite-packagesIPythoncoreinteractiveshell.py", line 3075, in run_cell

  File "C:Users-anaconda3Libsite-packagesIPythoncoreinteractiveshell.py", line 3130, in _run_cell

  File "C:Users-anaconda3Libsite-packagesIPythoncoreasync_helpers.py", line 129, in _pseudo_sync_runner

  File "C:Users-anaconda3Libsite-packagesIPythoncoreinteractiveshell.py", line 3334, in run_cell_async

  File "C:Users-anaconda3Libsite-packagesIPythoncoreinteractiveshell.py", line 3517, in run_ast_nodes

  File "C:Users-anaconda3Libsite-packagesIPythoncoreinteractiveshell.py", line 3577, in run_code

  File "C:Users-AppDataLocalTempipykernel_159722809293729.py", line 1, in <module>

  File "C:Users-anaconda3Libsite-packageskerassrcutilstraceback_utils.py", line 117, in error_handler

  File "C:Users-anaconda3Libsite-packageskerassrcbackendtensorflowtrainer.py", line 318, in fit

  File "C:Users-anaconda3Libsite-packageskerassrcbackendtensorflowtrainer.py", line 121, in one_step_on_iterator

  File "C:Users-anaconda3Libsite-packageskerassrcbackendtensorflowtrainer.py", line 108, in one_step_on_data

  File "C:Users-anaconda3Libsite-packageskerassrcbackendtensorflowtrainer.py", line 51, in train_step

  File "C:Users-anaconda3Libsite-packageskerassrcutilstraceback_utils.py", line 117, in error_handler

  File "C:Users-anaconda3Libsite-packageskerassrclayerslayer.py", line 882, in __call__

  File "C:Users-anaconda3Libsite-packageskerassrcutilstraceback_utils.py", line 117, in error_handler

  File "C:Users-anaconda3Libsite-packageskerassrcopsoperation.py", line 46, in __call__

  File "C:Users-anaconda3Libsite-packageskerassrcutilstraceback_utils.py", line 156, in error_handler

  File "C:Users-anaconda3Libsite-packageskerassrcmodelsfunctional.py", line 167, in call

  File "C:Users-anaconda3Libsite-packageskerassrcmodelsfunctional.py", line 258, in _standardize_inputs

  File "C:Users-anaconda3Libsite-packageskerassrcmodelsfunctional.py", line 218, in _convert_inputs_to_tensors

  File "C:Users-anaconda3Libsite-packageskerassrcopscore.py", line 743, in convert_to_tensor

  File "C:Users-anaconda3Libsite-packageskerassrcbackendtensorflowcore.py", line 120, in convert_to_tensor

Cast string to int64 is not supported
     [[{{node functional_20_1/Cast_1}}]] [Op:__inference_one_step_on_iterator_81457]

I’ve tried to change the types of the labels in to be int or str as well as using a labelEncoder.

from sklearn.preprocessing import LabelEncoder
def df_to_dataset(dataframe, shuffle=True, batch_size=32):
  df = dataframe.copy()
#updates
  labels = df.pop('target')#.astype(int)#.astype(str)
  #lb = LabelEncoder()
  #labels = lb.fit_transform(labels)
#end updates
  df = {key: value.values[:,tf.newaxis] for key, value in dataframe.items()}
  ds = tf.data.Dataset.from_tensor_slices((dict(df), labels))
  if shuffle:
    ds = ds.shuffle(buffer_size=len(dataframe))
  ds = ds.batch(batch_size)
  ds = ds.prefetch(batch_size)
  return ds