import pandas
from sklearn import tree
import pydotplus
from sklearn.tree import DecisionTreeClassifier
import matplotlib.pyplot as plt
import matplotlib.image as pltimg
dtree = DecisionTreeClassifier()
dtree = dtree.fit(X, y)
y_pred = dtree.predict(X)
y_pred
错误信息:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-33-745bbfa9769b> in <module>
1 import pandas
----> 2 from sklearn import tree
3 import pydotplus
4 from sklearn.tree import DecisionTreeClassifier
5 import matplotlib.pyplot as plt
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/__init__.py in <module>
62 else:
63 from . import __check_build
---> 64 from .base import clone
65 from .utils._show_versions import show_versions
66
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/base.py in <module>
12 from scipy import sparse
13 from .externals import six
---> 14 from .utils.fixes import signature
15 from .utils import _IS_32BIT
16 from . import __version__
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/__init__.py in <module>
12 from .murmurhash import murmurhash3_32
13 from .class_weight import compute_class_weight, compute_sample_weight
---> 14 from . import _joblib
15 from ..exceptions import DataConversionWarning
16 from .fixes import _Sequence as Sequence
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/utils/_joblib.py in <module>
20 from joblib import parallel_backend, register_parallel_backend
21 else:
---> 22 from ..externals import joblib
23 from ..externals.joblib import logger
24 from ..externals.joblib import dump, load
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/__init__.py in <module>
117 from .numpy_pickle import load
118 from .compressor import register_compressor
--> 119 from .parallel import Parallel
120 from .parallel import delayed
121 from .parallel import cpu_count
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/parallel.py in <module>
26 from .my_exceptions import TransportableException
27 from .disk import memstr_to_bytes
---> 28 from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend,
29 ThreadingBackend, SequentialBackend,
30 LokyBackend)
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/_parallel_backends.py in <module>
20 from .pool import MemmappingPool
21 from multiprocessing.pool import ThreadPool
---> 22 from .executor import get_memmapping_executor
23
24 # Compat between concurrent.futures and multiprocessing TimeoutError
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/executor.py in <module>
12 from .disk import delete_folder
13 from ._memmapping_reducer import get_memmapping_reducers
---> 14 from .externals.loky.reusable_executor import get_reusable_executor
15
16
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/externals/loky/__init__.py in <module>
10
11 from .backend.context import cpu_count
---> 12 from .backend.reduction import set_loky_pickler
13 from .reusable_executor import get_reusable_executor
14 from .cloudpickle_wrapper import wrap_non_picklable_objects
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/externals/loky/backend/reduction.py in <module>
123 # global variable to change the pickler behavior
124 try:
--> 125 from sklearn.externals.joblib.externals import cloudpickle # noqa: F401
126 DEFAULT_ENV = "cloudpickle"
127 except ImportError:
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/__init__.py in <module>
1 from __future__ import absolute_import
2
----> 3 from .cloudpickle import *
4
5 __version__ = '0.6.1'
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in <module>
165
166
--> 167 _cell_set_template_code = _make_cell_set_template_code()
168
169
~/opt/anaconda3/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in _make_cell_set_template_code()
146 )
147 else:
--> 148 return types.CodeType(
149 co.co_argcount,
150 co.co_kwonlyargcount,
TypeError: an integer is required (got type bytes)
我一直遇到这种类型错误,但并不知道该怎么做。我相当确定scikit-learn已经安装了。在创建要使用的训练集后,X和y都已经定义好了。我尝试重新安装scikit-learn,降级Python并通过终端进行安装,但都没有帮助。我无法找出问题所在,真的很感谢能够得到一些帮助。
X
和y
? - chepnerfeatures = ["loan_amnt","funded_amnt","int_rate","grade","annual_inc"] X = trainingData[features] y = trainingData["default_risk"]
- Salem Arthur