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import numpy as np
import keras
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0,1))
import pytse_client as tse
import tensorflow as tf
import seaborn as sns
from timeit import default_timer as timer
from keras.layers import LSTM, Dense, Dropout,Convolution1D, Activation, MaxPooling1D, Flatten,Input
from keras.models import Model, Sequential, load_model
from matplotlib.pylab import rcParams
from keras.utils import to_categorical
from tensorflow.keras import optimizers
from tensorflow.keras.callbacks import EarlyStopping
from sklearn.metrics import mean_squared_error,accuracy_score,mean_absolute_error
from math import sqrt
import math
from tensorflow.keras import layers
from keras.callbacks import TensorBoard
from time import time
from tqdm.keras import TqdmCallback

Error:---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[9], line 5
      3 import matplotlib.pyplot as plt
      4 import pandas as pd
----> 5 from sklearn.preprocessing import MinMaxScaler
      6 scaler = MinMaxScaler(feature_range=(0,1))
      7 import pytse_client as tse

File E:\Softwares\Python\Lib\site-packages\sklearn\__init__.py:84
     70     # We are not importing the rest of scikit-learn during the build
     71     # process, as it may not be compiled yet
     72 else:
   (...)
     78     # later is linked to the OpenMP runtime to make it possible to introspect
     79     # it and importing it first would fail if the OpenMP dll cannot be found.
     80     from . import (
     81         __check_build,  # noqa: F401
     82         _distributor_init,  # noqa: F401
     83     )
---> 84     from .base import clone
     85     from .utils._show_versions import show_versions
     87     __all__ = [
     88         "calibration",
     89         "cluster",
   (...)
    130         "show_versions",
    131     ]

File E:\Softwares\Python\Lib\site-packages\sklearn\base.py:19
     17 from ._config import config_context, get_config
     18 from .exceptions import InconsistentVersionWarning
---> 19 from .utils._estimator_html_repr import _HTMLDocumentationLinkMixin, estimator_html_repr
     20 from .utils._metadata_requests import _MetadataRequester, _routing_enabled
     21 from .utils._param_validation import validate_parameter_constraints

File E:\Softwares\Python\Lib\site-packages\sklearn\utils\__init__.py:11
      9 from . import _joblib, metadata_routing
     10 from ._bunch import Bunch
---> 11 from ._chunking import gen_batches, gen_even_slices
     12 from ._estimator_html_repr import estimator_html_repr
     14 # Make _safe_indexing importable from here for backward compat as this particular
     15 # helper is considered semi-private and typically very useful for third-party
     16 # libraries that want to comply with scikit-learn's estimator API. In particular,
     17 # _safe_indexing was included in our public API documentation despite the leading
     18 # `_` in its name.

File E:\Softwares\Python\Lib\site-packages\sklearn\utils\_chunking.py:8
      5 import numpy as np
      7 from .._config import get_config
----> 8 from ._param_validation import Interval, validate_params
     11 def chunk_generator(gen, chunksize):
     12     """Chunk generator, ``gen`` into lists of length ``chunksize``. The last
     13     chunk may have a length less than ``chunksize``."""

File E:\Softwares\Python\Lib\site-packages\sklearn\utils\_param_validation.py:14
     11 from scipy.sparse import csr_matrix, issparse
     13 from .._config import config_context, get_config
---> 14 from .validation import _is_arraylike_not_scalar
     17 class InvalidParameterError(ValueError, TypeError):
     18     """Custom exception to be raised when the parameter of a class/method/function
     19     does not have a valid type or value.
     20     """

File E:\Softwares\Python\Lib\site-packages\sklearn\utils\validation.py:26
     24 from .. import get_config as _get_config
     25 from ..exceptions import DataConversionWarning, NotFittedError, PositiveSpectrumWarning
---> 26 from ..utils._array_api import _asarray_with_order, _is_numpy_namespace, get_namespace
     27 from ..utils.fixes import ComplexWarning, _preserve_dia_indices_dtype
     28 from ._isfinite import FiniteStatus, cy_isfinite

File E:\Softwares\Python\Lib\site-packages\sklearn\utils\_array_api.py:8
      5 from functools import wraps
      7 import numpy
----> 8 import scipy.special as special
     10 from .._config import get_config
     11 from .fixes import parse_version

File E:\Softwares\Python\Lib\site-packages\scipy\special\__init__.py:811
    808 from ._ufuncs import *
    810 # Replace some function definitions from _ufuncs to add Array API support
--> 811 from ._support_alternative_backends import (
    812     log_ndtr, ndtr, ndtri, erf, erfc, i0, i0e, i1, i1e, gammaln,
    813     gammainc, gammaincc, logit, expit, entr, rel_entr, xlogy, chdtrc)
    815 from . import _basic
    816 from ._basic import *

File E:\Softwares\Python\Lib\site-packages\scipy\special\_support_alternative_backends.py:7
      5 import numpy as np
      6 import scipy
----> 7 from scipy._lib._array_api import (
      8     array_namespace, scipy_namespace_for, is_numpy, is_torch
      9 )
     10 from . import _ufuncs
     11 # These don't really need to be imported, but otherwise IDEs might not realize
     12 # that these are defined in this file / report an error in __init__.py

ImportError: cannot import name 'scipy_namespace_for' from 'scipy._lib._array_api' (E:\Softwares\Python\Lib\site-packages\scipy\_lib\_array_api.py)

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