Open xujingyi0707 opened 1 year ago
设计评分卡时对分类型特征进行了onehot编码处理，保存为bool型。能够成功训练，分箱结果为A [[False], [True]]。 但是使用bin_plot画图时，提示不支持bool型： from toad.plot import bin_plot col = 'A' bin_plot(c.transform(train_selected[[col,'label']], labels=True), x=col, target='label')
TypeError Traceback (most recent call last) Cell In[22], line 3 1 from toad.plot import bin_plot 2 col = 'A' ----> 3 bin_plot(c.transform(train_selected[[col,'label']], labels=True), x=col, target='label')
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/sklearn/utils/_set_output.py:140, in _wrap_method_output..wrapped(self, X, *args, kwargs) 138 @wraps(f) 139 def wrapped(self, X, *args, *kwargs): --> 140 data_to_wrap = f(self, X, args, kwargs) 141 if isinstance(data_to_wrap, tuple): 142 # only wrap the first output for cross decomposition 143 return ( 144 _wrap_data_with_container(method, data_to_wrap[0], X, self), 145 *data_to_wrap[1:], 146 )
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:93, in Transformer.transform(self, X, *args, **kwargs) 91 except Exception as e: 92 e.args += ('on column "{key}"'.format(key = key),) ---> 93 raise e 95 return res
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:90, in Transformer.transform(self, X, *args, *kwargs) 88 if key in self.rules: 89 try: ---> 90 res[key] = self.transform_(self.rules[key], X[key], args, **kwargs) 91 except Exception as e: 92 e.args += ('on column "{key}"'.format(key = key),)
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:264, in Combiner.transform_(self, rule, X, labels, ellipsis, **kwargs) 261 bins = bin_by_splits(X, rule) 263 if labels: --> 264 formated = self.format_bins(rule, index = True, ellipsis = ellipsis) 265 empty_mask = (bins == self.EMPTY_BIN) 266 bins = formated[bins]
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/utils/mixin.py:186, in BinsMixin.format_bins(self, bins, index, ellipsis) 184 l.append(keys) 185 else: --> 186 label = ','.join(keys) 187 if ellipsis is not None: 188 label = label[:ellipsis] + '..' if len(label) > ellipsis else label
TypeError: ('sequence item 0: expected str instance, bool found', 'on column "A"')
设计评分卡时对分类型特征进行了onehot编码处理，保存为bool型。能够成功训练，分箱结果为A [[False], [True]]。 但是使用bin_plot画图时，提示不支持bool型： from toad.plot import bin_plot col = 'A' bin_plot(c.transform(train_selected[[col,'label']], labels=True), x=col, target='label')
报错：
TypeError Traceback (most recent call last) Cell In[22], line 3 1 from toad.plot import bin_plot 2 col = 'A' ----> 3 bin_plot(c.transform(train_selected[[col,'label']], labels=True), x=col, target='label')
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/sklearn/utils/_set_output.py:140, in _wrap_method_output..wrapped(self, X, *args, kwargs)
138 @wraps(f)
139 def wrapped(self, X, *args, *kwargs):
--> 140 data_to_wrap = f(self, X, args, kwargs)
141 if isinstance(data_to_wrap, tuple):
142 # only wrap the first output for cross decomposition
143 return (
144 _wrap_data_with_container(method, data_to_wrap[0], X, self),
145 *data_to_wrap[1:],
146 )
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:93, in Transformer.transform(self, X, *args, **kwargs) 91 except Exception as e: 92 e.args += ('on column "{key}"'.format(key = key),) ---> 93 raise e 95 return res
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:90, in Transformer.transform(self, X, *args, *kwargs) 88 if key in self.rules: 89 try: ---> 90 res[key] = self.transform_(self.rules[key], X[key], args, **kwargs) 91 except Exception as e: 92 e.args += ('on column "{key}"'.format(key = key),)
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/transform.py:264, in Combiner.transform_(self, rule, X, labels, ellipsis, **kwargs) 261 bins = bin_by_splits(X, rule) 263 if labels: --> 264 formated = self.format_bins(rule, index = True, ellipsis = ellipsis) 265 empty_mask = (bins == self.EMPTY_BIN) 266 bins = formated[bins]
File ~/miniconda3/envs/toad/lib/python3.8/site-packages/toad/utils/mixin.py:186, in BinsMixin.format_bins(self, bins, index, ellipsis) 184 l.append(keys) 185 else: --> 186 label = ','.join(keys) 187 if ellipsis is not None: 188 label = label[:ellipsis] + '..' if len(label) > ellipsis else label
TypeError: ('sequence item 0: expected str instance, bool found', 'on column "A"')