Что я делаю не так?
Устанавливаю библиотеку через jupyter
!pip install mglearn
Потом
import mglearn
И выскакивает вот такая ошибка:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-26a0454c3f6e> in <module>
----> 1 import mglearn
~\anaconda3\lib\site-packages\mglearn\__init__.py in <module>
----> 1 from . import plots
2 from . import tools
3 from .plots import cm3, cm2
4 from .tools import discrete_scatter
5 from .plot_helpers import ReBl
~\anaconda3\lib\site-packages\mglearn\plots.py in <module>
----> 1 from .plot_linear_svc_regularization import plot_linear_svc_regularization
2 from .plot_interactive_tree import plot_tree_progressive, plot_tree_partition
3 from .plot_animal_tree import plot_animal_tree
4 from .plot_rbf_svm_parameters import plot_svm
5 from .plot_knn_regression import plot_knn_regression
~\anaconda3\lib\site-packages\mglearn\plot_linear_svc_regularization.py in <module>
1 import matplotlib.pyplot as plt
2 import numpy as np
----> 3 from sklearn.svm import LinearSVC
4 from sklearn.datasets import make_blobs
5
~\anaconda3\lib\site-packages\sklearn\__init__.py in <module>
78 from . import _distributor_init # noqa: F401
79 from . import __check_build # noqa: F401
---> 80 from .base import clone
81 from .utils._show_versions import show_versions
82
~\anaconda3\lib\site-packages\sklearn\base.py in <module>
19 from . import __version__
20 from ._config import get_config
---> 21 from .utils import _IS_32BIT
22 from .utils.validation import check_X_y
23 from .utils.validation import check_array
~\anaconda3\lib\site-packages\sklearn\utils\__init__.py in <module>
21
22 from .murmurhash import murmurhash3_32
---> 23 from .class_weight import compute_class_weight, compute_sample_weight
24 from . import _joblib
25 from ..exceptions import DataConversionWarning
~\anaconda3\lib\site-packages\sklearn\utils\class_weight.py in <module>
5 import numpy as np
6
----> 7 from .validation import _deprecate_positional_args
8
9
~\anaconda3\lib\site-packages\sklearn\utils\validation.py in <module>
23 from contextlib import suppress
24
---> 25 from .fixes import _object_dtype_isnan, parse_version
26 from .. import get_config as _get_config
27 from ..exceptions import NonBLASDotWarning, PositiveSpectrumWarning
~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in <module>
16 import scipy.sparse as sp
17 import scipy
---> 18 import scipy.stats
19 from scipy.sparse.linalg import lsqr as sparse_lsqr # noqa
20 from numpy.ma import MaskedArray as _MaskedArray # TODO: remove in 0.25
~\anaconda3\lib\site-packages\scipy\stats\__init__.py in <module>
386
387 """
--> 388 from .stats import *
389 from .distributions import *
390 from .morestats import *
~\anaconda3\lib\site-packages\scipy\stats\stats.py in <module>
178 import scipy.special as special
179 from scipy import linalg
--> 180 from . import distributions
181 from . import mstats_basic
182 from ._stats_mstats_common import (_find_repeats, linregress, theilslopes,
~\anaconda3\lib\site-packages\scipy\stats\distributions.py in <module>
6 # instead of `git blame -Lxxx,+x`.
7 #
----> 8 from ._distn_infrastructure import (entropy, rv_discrete, rv_continuous,
9 rv_frozen)
10
~\anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py in <module>
21
22 # for root finding for continuous distribution ppf, and max likelihood estimation
---> 23 from scipy import optimize
24
25 # for functions of continuous distributions (e.g. moments, entropy, cdf)
~\anaconda3\lib\site-packages\scipy\optimize\__init__.py in <module>
385 """
386
--> 387 from .optimize import *
388 from ._minimize import *
389 from ._root import *
~\anaconda3\lib\site-packages\scipy\optimize\optimize.py in <module>
34 line_search_wolfe2 as line_search,
35 LineSearchWarning)
---> 36 from ._numdiff import approx_derivative
37 from scipy._lib._util import getfullargspec_no_self as _getfullargspec
38 from scipy._lib._util import MapWrapper
~\anaconda3\lib\site-packages\scipy\optimize\_numdiff.py in <module>
4 from numpy.linalg import norm
5
----> 6 from scipy.sparse.linalg import LinearOperator
7 from ..sparse import issparse, csc_matrix, csr_matrix, coo_matrix, find
8 from ._group_columns import group_dense, group_sparse
~\anaconda3\lib\site-packages\scipy\sparse\linalg\__init__.py in <module>
112 from .dsolve import *
113 from .interface import *
--> 114 from .eigen import *
115 from .matfuncs import *
116 from ._onenormest import *
~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py in <module>
7
8 """
----> 9 from .arpack import *
10 from .lobpcg import *
11
~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py in <module>
18
19 """
---> 20 from .arpack import *
~\anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py in <module>
41 __all__ = ['eigs', 'eigsh', 'svds', 'ArpackError', 'ArpackNoConvergence']
42
---> 43 from . import _arpack
44 arpack_int = _arpack.timing.nbx.dtype
45
ImportError: DLL load failed while importing _arpack: Не найдена указанная процедура.
