Get rid of Scipy dependency for LogisticRegression gradient descent about homemade-machine-learning HOT 1 OPEN

Error LogisticRegression

ModuleNotFoundError Traceback (most recent call last)
in
5
6 # Import custom logistic regression implementation.
----> 7 from homemade.logistic_regression import LogisticRegression

D:\Projetos\Teste Fabio\homemade-machine-learning-master\homemade\logistic_regression_init_.py in
1 """Logistic Regression Module"""
2
----> 3 from .logistic_regression import LogisticRegression

D:\Projetos\Teste Fabio\homemade-machine-learning-master\homemade\logistic_regression\logistic_regression.py in
2
3 import numpy as np
----> 4 from scipy.optimize import minimize
5 from ..utils.features import prepare_for_training
6 from ..utils.hypothesis import sigmoid

D:\aplicativos\Anaconda3\lib\site-packages\scipy\optimize_init_.py in
385
386 from .optimize import *
--> 387 from ._minimize import *
388 from ._root import *
389 from ._root_scalar import *

D:\aplicativos\Anaconda3\lib\site-packages\scipy\optimize_minimize.py in
28 from ._trustregion_krylov import _minimize_trust_krylov
29 from ._trustregion_exact import _minimize_trustregion_exact
---> 30 from ._trustregion_constr import _minimize_trustregion_constr
31
32 # constrained minimization

D:\aplicativos\Anaconda3\lib\site-packages\scipy\optimize_trustregion_constr_init_.py in
2
3
----> 4 from .minimize_trustregion_constr import _minimize_trustregion_constr
5
6 all = ['_minimize_trustregion_constr']

D:\aplicativos\Anaconda3\lib\site-packages\scipy\optimize_trustregion_constr\minimize_trustregion_constr.py in
2 import time
3 import numpy as np
----> 4 from scipy.sparse.linalg import LinearOperator
5 from .._differentiable_functions import VectorFunction
6 from .._constraints import (

D:\aplicativos\Anaconda3\lib\site-packages\scipy\sparse_init_.py in
228 import warnings as _warnings
229
--> 230 from .base import *
231 from .csr import *
232 from .csc import *

D:\aplicativos\Anaconda3\lib\site-packages\scipy\sparse\base.py in
7
8 from scipy._lib.six import xrange
----> 9 from scipy._lib._numpy_compat import broadcast_to
10 from .sputils import (isdense, isscalarlike, isintlike,
11 get_sum_dtype, validateaxis, check_reshape_kwargs,

ModuleNotFoundError: No module named 'scipy._lib._numpy_compat'

from homemade-machine-learning.