I am adapting the mini-net code as follows for my data which instead of 1-5 ratings has a binary flag 0/1
- In Columnar Model Data i set is_reg=False
- in the fit method i pass F.cross_entropy (also tried F.binary_cross_entropy)
However when i run Fit, i get a KeyError: Any ideas on how to fix would be very helpful
KeyError Traceback (most recent call last)
in ()
----> 1 fit(model, data, 3, opt, F.cross_entropy)
~/fastai/fastai/model.py in fit(model, data, n_epochs, opt, crit, metrics, callbacks, stepper, swa_model, swa_start, swa_eval_freq, **kwargs)
135 if all_val: val_iter = IterBatch(cur_data.val_dl)
136
–> 137 for (*x,y) in t:
138 batch_num += 1
139 for cb in callbacks: cb.on_batch_begin()
~/anaconda3/envs/fastai/lib/python3.6/site-packages/tqdm/_tqdm.py in iter(self)
951 “”", fp_write=getattr(self.fp, ‘write’, sys.stderr.write))
952
–> 953 for obj in iterable:
954 yield obj
955 # Update and possibly print the progressbar.
~/fastai/fastai/dataloader.py in iter(self)
86 # avoid py3.6 issue where queue is infinite and can result in memory exhaustion
87 for c in chunk_iter(iter(self.batch_sampler), self.num_workers*10):
—> 88 for batch in e.map(self.get_batch, c):
89 yield get_tensor(batch, self.pin_memory, self.half)
90
~/anaconda3/envs/fastai/lib/python3.6/concurrent/futures/_base.py in result_iterator()
584 # Careful not to keep a reference to the popped future
585 if timeout is None:
–> 586 yield fs.pop().result()
587 else:
588 yield fs.pop().result(end_time - time.time())
~/anaconda3/envs/fastai/lib/python3.6/concurrent/futures/_base.py in result(self, timeout)
430 raise CancelledError()
431 elif self._state == FINISHED:
–> 432 return self.__get_result()
433 else:
434 raise TimeoutError()
~/anaconda3/envs/fastai/lib/python3.6/concurrent/futures/_base.py in __get_result(self)
382 def __get_result(self):
383 if self._exception:
–> 384 raise self._exception
385 else:
386 return self._result
~/anaconda3/envs/fastai/lib/python3.6/concurrent/futures/thread.py in run(self)
54
55 try:
—> 56 result = self.fn(*self.args, **self.kwargs)
57 except BaseException as exc:
58 self.future.set_exception(exc)
~/fastai/fastai/dataloader.py in get_batch(self, indices)
73
74 def get_batch(self, indices):
—> 75 res = self.np_collate([self.dataset[i] for i in indices])
76 if self.transpose: res[0] = res[0].T
77 if self.transpose_y: res[1] = res[1].T
~/fastai/fastai/dataloader.py in (.0)
73
74 def get_batch(self, indices):
—> 75 res = self.np_collate([self.dataset[i] for i in indices])
76 if self.transpose: res[0] = res[0].T
77 if self.transpose_y: res[1] = res[1].T
~/fastai/fastai/column_data.py in getitem(self, idx)
35
36 def getitem(self, idx):
—> 37 return [self.cats[idx], self.conts[idx], self.y[idx]]
38
39 @classmethod
~/anaconda3/envs/fastai/lib/python3.6/site-packages/pandas/core/series.py in getitem(self, key)
621 key = com._apply_if_callable(key, self)
622 try:
–> 623 result = self.index.get_value(self, key)
624
625 if not is_scalar(result):
~/anaconda3/envs/fastai/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_value(self, series, key)
2558 try:
2559 return self._engine.get_value(s, k,
-> 2560 tz=getattr(series.dtype, ‘tz’, None))
2561 except KeyError as e1:
2562 if len(self) > 0 and self.inferred_type in [‘integer’, ‘boolean’]:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_value()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
KeyError: 2237301