Jul-15-2024, 08:45 AM
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)