Datasets:

---

P2SAMAPA

/

p2-etf-deepwave-dl

like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model_a: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
  child 0, best_lookback: int64
  child 1, best_wavelet: string
  child 2, best_val_acc: double
  child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
      child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
          child 0, val_loss: double
          child 1, val_acc: double
          child 2, lookback: int64
          child 3, wavelet: string
          child 4, model: string
model_b: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
  child 0, best_lookback: int64
  child 1, best_wavelet: string
  child 2, best_val_acc: double
  child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
      child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
          child 0, val_loss: double
          child 1, val_acc: double
          child 2, lookback: int64
          child 3, wavelet: string
          child 4, model: string
model_c: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
  child 0, best_lookback: int64
  child 1, best_wavelet: string
  child 2, best_val_acc: double
  child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
      child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
          child 0, val_loss: double
          child 1, val_acc: double
          child 2, lookback: int64
          child 3, wavelet: string
          child 4, model: string
trained_at: string
epochs: int64
start_year: int64
best_wavelet: string
universe: string
n_classes: int64
etfs: list<item: string>
  child 0, item: string
fee_bps: int64
tsl_pct: int64
z_reentry: double
to
{'model_a': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'model_b': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'model_c': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'trained_at': Value('string'), 'epochs': Value('int64'), 'start_year': Value('int64'), 'best_wavelet': Value('string'), 'universe': Value('string'), 'fee_bps': Value('int64'), 'tsl_pct': Value('int64'), 'z_reentry': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model_a: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
                child 0, best_lookback: int64
                child 1, best_wavelet: string
                child 2, best_val_acc: double
                child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
                    child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
                        child 0, val_loss: double
                        child 1, val_acc: double
                        child 2, lookback: int64
                        child 3, wavelet: string
                        child 4, model: string
              model_b: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
                child 0, best_lookback: int64
                child 1, best_wavelet: string
                child 2, best_val_acc: double
                child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
                    child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
                        child 0, val_loss: double
                        child 1, val_acc: double
                        child 2, lookback: int64
                        child 3, wavelet: string
                        child 4, model: string
              model_c: struct<best_lookback: int64, best_wavelet: string, best_val_acc: double, all_results: list<item: str (... 89 chars omitted)
                child 0, best_lookback: int64
                child 1, best_wavelet: string
                child 2, best_val_acc: double
                child 3, all_results: list<item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string (... 2 chars omitted)
                    child 0, item: struct<val_loss: double, val_acc: double, lookback: int64, wavelet: string, model: string>
                        child 0, val_loss: double
                        child 1, val_acc: double
                        child 2, lookback: int64
                        child 3, wavelet: string
                        child 4, model: string
              trained_at: string
              epochs: int64
              start_year: int64
              best_wavelet: string
              universe: string
              n_classes: int64
              etfs: list<item: string>
                child 0, item: string
              fee_bps: int64
              tsl_pct: int64
              z_reentry: double
              to
              {'model_a': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'model_b': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'model_c': {'best_lookback': Value('int64'), 'best_wavelet': Value('string'), 'best_val_acc': Value('float64'), 'all_results': List({'val_loss': Value('float64'), 'val_acc': Value('float64'), 'lookback': Value('int64'), 'wavelet': Value('string'), 'model': Value('string')})}, 'trained_at': Value('string'), 'epochs': Value('int64'), 'start_year': Value('int64'), 'best_wavelet': Value('string'), 'universe': Value('string'), 'fee_bps': Value('int64'), 'tsl_pct': Value('int64'), 'z_reentry': Value('float64')}
              because column names don't match