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from mlxtend.feature_selection import SequentialFeatureSelector
Code: Select all
ImportError Traceback (most recent call last)
Cell In[1], line 1
----> 1 from mlxtend.feature_selection import SequentialFeatureSelector
File ~\anaconda3\Lib\site-packages\mlxtend\feature_selection\__init__.py:7
1 # Sebastian Raschka 2014-2019
2 # mlxtend Machine Learning Library Extensions
3 # Author: Sebastian Raschka
4 #
5 # License: BSD 3 clause
----> 7 from .column_selector import ColumnSelector
8 from .sequential_feature_selector import SequentialFeatureSelector
9 from .exhaustive_feature_selector import ExhaustiveFeatureSelector
File ~\anaconda3\Lib\site-packages\mlxtend\feature_selection\column_selector.py:10
1 # Sebastian Raschka 2014-2019
2 # mlxtend Machine Learning Library Extensions
3 #
(...) 6 #
7 # License: BSD 3 clause
---> 10 from sklearn.base import BaseEstimator
11 import numpy as np
14 class ColumnSelector(BaseEstimator):
File ~\anaconda3\Lib\site-packages\sklearn\__init__.py:70
62 # `_distributor_init` allows distributors to run custom init code.
63 # For instance, for the Windows wheel, this is used to pre-load the
64 # vcomp shared library runtime for OpenMP embedded in the sklearn/.libs
(...) 67 # later is linked to the OpenMP runtime to make it possible to introspect
68 # it and importing it first would fail if the OpenMP dll cannot be found.
69 from sklearn import __check_build, _distributor_init # noqa: E402 F401
---> 70 from sklearn.base import clone # noqa: E402
71 from sklearn.utils._show_versions import show_versions # noqa: E402
73 _submodules = [
74 "calibration",
75 "cluster",
(...) 111 "compose",
112 ]
File ~\anaconda3\Lib\site-packages\sklearn\base.py:19
17 from sklearn._config import config_context, get_config
18 from sklearn.exceptions import InconsistentVersionWarning
---> 19 from sklearn.utils._metadata_requests import _MetadataRequester, _routing_enabled
20 from sklearn.utils._missing import is_pandas_na, is_scalar_nan
21 from sklearn.utils._param_validation import validate_parameter_constraints
File ~\anaconda3\Lib\site-packages\sklearn\utils\__init__.py:9
7 from sklearn.utils import metadata_routing
8 from sklearn.utils._bunch import Bunch
----> 9 from sklearn.utils._chunking import gen_batches, gen_even_slices
11 # Make _safe_indexing importable from here for backward compat as this particular
12 # helper is considered semi-private and typically very useful for third-party
13 # libraries that want to comply with scikit-learn's estimator API. In particular,
14 # _safe_indexing was included in our public API documentation despite the leading
15 # `_` in its name.
16 from sklearn.utils._indexing import _safe_indexing, resample, shuffle
File ~\anaconda3\Lib\site-packages\sklearn\utils\_chunking.py:11
8 import numpy as np
10 from sklearn._config import get_config
---> 11 from sklearn.utils._param_validation import Interval, validate_params
14 def chunk_generator(gen, chunksize):
15 """Chunk generator, ``gen`` into lists of length ``chunksize``. The last
16 chunk may have a length less than ``chunksize``."""
File ~\anaconda3\Lib\site-packages\sklearn\utils\_param_validation.py:17
14 from scipy.sparse import csr_matrix, issparse
16 from sklearn._config import config_context, get_config
---> 17 from sklearn.utils.validation import _is_arraylike_not_scalar
20 class InvalidParameterError(ValueError, TypeError):
21 """Custom exception to be raised when the parameter of a class/method/function
22 does not have a valid type or value.
23 """
File ~\anaconda3\Lib\site-packages\sklearn\utils\validation.py:24
18 from sklearn import get_config as _get_config
19 from sklearn.exceptions import (
20 DataConversionWarning,
21 NotFittedError,
22 PositiveSpectrumWarning,
23 )
---> 24 from sklearn.utils._array_api import (
25 _asarray_with_order,
26 _convert_to_numpy,
27 _is_numpy_namespace,
28 _max_precision_float_dtype,
29 get_namespace,
30 get_namespace_and_device,
31 )
32 from sklearn.utils._dataframe import is_pandas_df, is_pandas_df_or_series
33 from sklearn.utils._isfinite import FiniteStatus, cy_isfinite
File ~\anaconda3\Lib\site-packages\sklearn\utils\_array_api.py:20
18 from sklearn.externals.array_api_compat import numpy as np_compat
19 from sklearn.utils._dataframe import is_df_or_series
---> 20 from sklearn.utils.fixes import parse_version
22 # TODO: complete __all__
23 __all__ = ["xpx"] # we import xpx here just to re-export it, need this to appease ruff
File ~\anaconda3\Lib\site-packages\sklearn\utils\fixes.py:15
13 import numpy as np
14 import scipy
---> 15 import scipy.sparse.linalg
16 import scipy.stats
18 try:
File ~\anaconda3\Lib\site-packages\scipy\sparse\linalg\__init__.py:134
132 from ._dsolve import *
133 from ._interface import *
--> 134 from ._eigen import *
135 from ._matfuncs import *
136 from ._onenormest import *
File ~\anaconda3\Lib\site-packages\scipy\sparse\linalg\_eigen\__init__.py:11
9 from .arpack import *
10 from .lobpcg import *
---> 11 from ._svds import svds
13 from . import arpack
15 __all__ = [
16 'ArpackError', 'ArpackNoConvergence',
17 'eigs', 'eigsh', 'lobpcg', 'svds'
18 ]
File ~\anaconda3\Lib\site-packages\scipy\sparse\linalg\_eigen\_svds.py:10
8 from scipy.sparse.linalg._interface import LinearOperator, aslinearoperator
9 from scipy.sparse.linalg._eigen.lobpcg import lobpcg # type: ignore[no-redef]
---> 10 from scipy.sparse.linalg._svdp import _svdp
11 from scipy.linalg import svd
13 arpack_int = _arpack.timing.nbx.dtype
File ~\anaconda3\Lib\site-packages\scipy\sparse\linalg\_svdp.py:23
20 from scipy.sparse.linalg import aslinearoperator
21 from scipy.linalg import LinAlgError
---> 23 from ._propack import _spropack # type: ignore[attr-defined]
24 from ._propack import _dpropack # type: ignore[attr-defined]
25 from ._propack import _cpropack # type: ignore[attr-defined]
ImportError: DLL load failed while importing _propack: The specified module could not be found.
