我正在尝试在我的数据集上使用合成少数过采样技术进行高斯噪声回归，但我得到了一个我不理解的 IndexError：
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\indexing.py in _get_list_axis(self, key, axis)
1473 try:
-> 1474 return self.obj._take_with_is_copy(key, axis=axis)
1475 except IndexError as err:
~\Anaconda3\lib\site-packages\pandas\core\generic.py in _take_with_is_copy(self, indices, axis)
3598 """
-> 3599 result = self.take(indices=indices, axis=axis)
3600 # Maybe set copy if we didn't actually change the index.
~\Anaconda3\lib\site-packages\pandas\core\generic.py in take(self, indices, axis, is_copy, **kwargs)
3585 new_data = self._mgr.take(
-> 3586 indices, axis=self._get_block_manager_axis(axis), verify=True
3587 )
~\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in take(self, indexer, axis, verify, convert)
1466 if convert:
-> 1467 indexer = maybe_convert_indices(indexer, n)
1468
~\Anaconda3\lib\site-packages\pandas\core\indexers.py in maybe_convert_indices(indices, n)
264 if mask.any():
--> 265 raise IndexError("indices are out-of-bounds")
266 return indices
IndexError: indices are out-of-bounds
The above exception was the direct cause of the following exception:
IndexError Traceback (most recent call last)
<ipython-input-7-e354cd403458> in <module>
6 dummy_df_smogn = smogn.smoter(
7 data = dummy_df,
----> 8 y = 'estimated_delivered_days'
9 )
10
~\Anaconda3\lib\site-packages\smogn\smoter.py in smoter(data, y, k, pert, samp_method, under_samp, drop_na_col, drop_na_row, replace, rel_thres, rel_method, rel_xtrm_type, rel_coef, rel_ctrl_pts_rg)
243 perc = s_perc[i],
244 pert = pert,
--> 245 k = k
246 )
247
~\Anaconda3\lib\site-packages\smogn\over_sampling.py in over_sampling(data, index, perc, pert, k)
69
70 ## subset original dataframe by bump classification index
---> 71 data = data.iloc[index]
72
73 ## store dimensions of data subset
~\Anaconda3\lib\site-packages\pandas\core\indexing.py in __getitem__(self, key)
893
894 maybe_callable = com.apply_if_callable(key, self.obj)
--> 895 return self._getitem_axis(maybe_callable, axis=axis)
896
897 def _is_scalar_access(self, key: Tuple):
~\Anaconda3\lib\site-packages\pandas\core\indexing.py in _getitem_axis(self, key, axis)
1490 # a list of integers
1491 elif is_list_like_indexer(key):
-> 1492 return self._get_list_axis(key, axis=axis)
1493
1494 # a single integer
~\Anaconda3\lib\site-packages\pandas\core\indexing.py in _get_list_axis(self, key, axis)
1475 except IndexError as err:
1476 # re-raise with different error message
-> 1477 raise IndexError("positional indexers are out-of-bounds") from err
1478
1479 def _getitem_axis(self, key, axis: int):
IndexError: positional indexers are out-of-bounds
我正在使用 smogn 包，这是我正在运行的代码：
#Select columns for model
x = dummy_df[dummy_df.columns.difference(['estimated_delivered_days'])]
y = dummy_df.estimated_delivered_days
## conduct smogn
dummy_df_smogn = smogn.smoter(
data = dummy_df,
y = 'estimated_delivered_days'
)
其中 dummy_df 是形状 (112819, 30) 并具有 dtypes：
payment_sequential float64
payment_type int32
payment_installments float64
payment_value float64
customer_unique_id int32
customer_zip_code_prefix int64
customer_city int32
customer_state int32
order_item_id float64
product_id int32
seller_id int32
price float64
freight_value float64
product_weight_g float64
product_length_cm float64
product_height_cm float64
product_width_cm float64
product_category_name_english int32
seller_zip_code_prefix float64
seller_city int32
seller_state int32
order_delivered_month int64
estimated_delivery_month int64
estimated_delivered_days int64
shipping_limit_carrier_days int64
late_to_customer int32
late_to_carrier int32
major_holidays int64
weight_by_volume float64
seller_customer_dist_miles float64
需要一些帮助来理解错误以及如何解决它。