import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
it gives the following error-
Traceback (most recent call last):
File "/home/songoku/PycharmProjects/untitled/sklearn.py", line 4, in <module>
from sklearn import datasets
File "/home/songoku/PycharmProjects/untitled/sklearn.py", line 4, in <module>
from sklearn import datasets
ImportError: cannot import name 'datasets'
Rename /home/songoku/PycharmProjects/untitled/sklearn.py to something that differs from the SKLearn module name: sklearn.py
Try checking the version of sklearn first. The modules like data-sets and svm is not a part of sklearn packages (0.19 <) i.e less than version number 0.19.0.
You can check this on the command line: pip3 list
it shows you the version of all libraries installed by pip3.
Note: Always double check if you istalled the libraries as a part of anaconda or pip3
Related
I was trying to kaggle kernel of Bayesian Hyperparam Optimization of RF. And I couldn't import sklearn.gaussian_process.GaussianProcess. Please help this poor scikit-learn newbie.
from sklearn.gaussian_process import GaussianProcess as GP
error:
Traceback (most recent call last):
File "C:/Users/Develop/PycharmProjects/reinforcement recommandation system/BNP/bayesianoptimization-of-random-forest.py", line 24, in <module>
from sklearn.gaussian_process import GaussianProcess as GP
ImportError: cannot import name 'GaussianProcess' from 'sklearn.gaussian_process' (C:\Users\Develop\PycharmProjects\reinforcement recommandation system\lib\site-packages\sklearn\gaussian_process\__init__.py)
Process finished with exit code 1
Depending on whether you need the regressor or classifier:
from sklearn.gaussian_process import GaussianProcessRegressor as GP
from sklearn.gaussian_process import GaussianProcessClassifier as GP
Also, have a look at the different modules
It seems that you have to use the old scikit-learn version 0.15-git
The documentation for sklearn.gaussian_process.GaussianProcess is located here:
https://scikit-learn.org/0.15/modules/generated/sklearn.gaussian_process.GaussianProcess.html
I just had the same problem, but I will move on to try to understand if sklearn.gaussian_process.GaussianProcessRegressor in the current version scikit-learn 1.0.2 will work for my purposes.
I'm trying to import keras and the code returns an error about tensorflow.
import numpy
import matplotlib.pyplot as plt
import pandas
import math
from keras.models import Sequential
from keras.layers import Dense
and the error says:
Using TensorFlow backend.
Traceback (most recent call last):
File "C:/Users/gonza/Documents/Projects/jeremiah/neuralNet.py", line 6, in <module>
from keras.models import Sequential
File "C:\Users\gonza\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\__init__.py", line 3, in <module>
from . import utils
File "C:\Users\gonza\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\utils\__init__.py", line 6, in <module>
from . import conv_utils
File "C:\Users\gonza\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\utils\conv_utils.py", line 9, in <module>
from .. import backend as K
File "C:\Users\gonza\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\backend\__init__.py", line 89, in <module>
from .tensorflow_backend import *
File "C:\Users\gonza\AppData\Local\Programs\Python\Python37-32\lib\site-packages\keras\backend\tensorflow_backend.py", line 5, in <module>
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
It seems like tensorflow is not found. You need to install tensorflow in order to use keras library.
If you already installed tensorflow, try to uninstall and install it again.
sudo pip3 uninstall tensorflow
pip3 install --upgrade tensorflow
You can verify the install by running this command:
python3 -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"
This error is related to TensorFlow. TensorFlow may not be installed or installed incorrectly. please check TensorFlow installation
The script normally works on a local machine, but it also fails when it is uploaded to the server. The program falls on the line:
from keras.models import model_from_json
All versions of libraries on a laptop and server are the same. Python 3.6.5, Keras 2.2.4, Tensorflow 1.5.0, Numpy 1.14.3
Error message:
(base) C:\classX5>python app.py
Using TensorFlow backend.
Traceback (most recent call last):
File "app.py", line 8, in <module>
from keras.models import model_from_json
File "C:\Anaconda3\lib\site-packages\keras\__init__.py", line 3, in <module>
from . import utils
File "C:\Anaconda3\lib\site-packages\keras\utils\__init__.py", line 27, in <mo
dule>
from .multi_gpu_utils import multi_gpu_model
File "C:\Anaconda3\lib\site-packages\keras\utils\multi_gpu_utils.py", line 7,
in <module>
from ..layers.merge import concatenate
File "C:\Anaconda3\lib\site-packages\keras\layers\__init__.py", line 4, in <mo
dule>
from ..engine.base_layer import Layer
File "C:\Anaconda3\lib\site-packages\keras\engine\__init__.py", line 8, in <mo
dule>
from .training import Model
File "C:\Anaconda3\lib\site-packages\keras\engine\training.py", line 21, in <m
odule>
from . import training_arrays
File "C:\Anaconda3\lib\site-packages\keras\engine\training_arrays.py", line 8,
in <module>
from scipy.sparse import issparse
File "C:\Anaconda3\lib\site-packages\scipy\__init__.py", line 119, in <module>
from scipy._lib._ccallback import LowLevelCallable
File "C:\Anaconda3\lib\site-packages\scipy\_lib\_ccallback.py", line 1, in <mo
dule>
from . import _ccallback_c
ImportError: cannot import name '_ccallback_c'
All versions of libraries on a laptop and server are the same. Python
3.6.5, Keras 2.2.4, Tensorflow 1.5.0, Numpy 1.14.3
But NOT the scipy package.
Just uninstall (pip3 uninstall scipy) and reinstall scipy package. It solved the problem for many people.
Posting my same answer here I posted on the linked question:
This is likely an issue with the SciPy Python module compatibility you have installed in your site-packages folder and the OS architecture you're running it on.
After digging in, to give the full background on this, first of all SciPy relies on having NumPy already installed. The SciPy wheel's setup.py file uses NumPy functionality to configure and install the wheel.
SciPy setup.py:
...
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())
Secondly, when just trying to use the wheel, if you run into this error, you can see after inspecting the wheel's files that the reason is the binary wheels have a naming convention where the shared object file, here it's called _ccallback_c.so, is instead named based on the architecture that the binary wheel supports. When trying to import the shared object by file name in /_lib/_ccallback.py it can't find it, hence this error (line 1 in /_lib/_ccallback.py) because, instead of being named _ccallback_c.so it's called _ccallback_c.cpython-36m-x86_64-linux-gnu.so or another architecture variation:
from . import _ccallback_c
These file names may be an artifact of having not run the NumPy setup process yet or something related to Cython, that I'm not quite sure about. But the easiest fix is to change the .whl extension to .zip and rename all those relevant .so files to not contain the architecture snippet. Then change .zip -> .whl and it should be good to go.
I am on windows using Anaconda with python 3.6, I have installed keras by:
conda install -c conda-forge keras
and whene i try this code
from keras.models import Graph
I get this error message:
ImportError Traceback (most recent call last)
<ipython-input-4-74d2d1fd7bad> in <module>()
----> 1 from keras.models import Graph
ImportError: cannot import name 'Graph'
This is not a Python issue. This is because the latest version of keras has removed Graph module from models. You can surely check the documentation.
If you check this Github issue (Why Keras remove graph model?), you can use the following line of code:
from .legacy.models import Graph
However, it is suggested to use functional API instead. Please check The Functional API
Following the tutorial:
http://www.pyimagesearch.com/2016/08/10/imagenet-classification-with-python-and-keras/#comment-419896
Using these files:
https://github.com/fchollet/deep-learning-models
I get 2 separate errors depending on how I execute:
Running in PyCharm:
Using TensorFlow backend.
usage: test_imagenet.py [-h] -i IMAGE
test_imagenet.py: error: the following arguments are required: -i/--image
Running in cmd line:
C:\Users\AppData\Local\Programs\Python\Python35\Scripts>python deep-learning-models/test_imagenet.py --image deep-learning-models/images/dog.jpg
Traceback (most recent call last):
File "deep-learning-models/test_imagenet.py", line 2, in <module>
from keras.preprocessing import image as image_utils
ImportError: No module named keras.preprocessing
How do I resolve?
Its best if you solve this problem outside running the above script... Here is what you can try in your command line environment to make sure it works outside your script:
>>> import keras
Using TensorFlow backend.
>>> keras.__version__
'1.2.1'
>>> keras.preprocessing
<module 'keras.preprocessing' from '/usr/local/lib/python2.7/dist-packages/keras/preprocessing/__init__.pyc'>
>>> from keras.preprocessing import image as image_utils
>>>
Make sure you have latest version of keras installed. If you get above working then it could be the environment issue where above script is not able to find the keras package. However if above does not work or work partially you would need to install keras again by removing it first..
$ pip install keras --user
Every dependency in a python project need to be installed using pip or easy_install or from the source code. You will have to install the keras module as mentioned here.
This happened to me. It turned out I was working in a pyvenv which wasn't activated. Just run source bin/activate on Linux/Mac or Scripts\activate.bat on Windows
from keras.models import Sequential
from keras import legacy_tf_layer
from keras.preprocessing import image as image_utils
from keras.preprcessing.text import Toknizer
import pandas as pd
from sklearn.model_selection import train_test_spli