I am trying to work with Keras on some small datasets locally, using my cpu.
I started a jupyter notebook, and selected what I think might be the right kernel, which would be the conda env:tensorflow:
So I try to import from the sandbox:
from theano.sandbox import cuda .
and I get
ImportError: No module named theano.sandbox
I don't get it. Theano is installed. Tensorflow is installed. Anaconda is installed. How can I figure out what is going on?
Related
I am trying to use cupy to speed up some background numpy operations in my python code but when attempting to import cupy I am told that the DLL load failed, importError: DLL load failed.
I am fairly inexperienced when it comes to handling things like this so any help would be greatly appreciated. The entire error message and trace is copied below:
when I tried pip install cupy-cuda112, cupy import is working but pytorch import is not working.
Error loading "C:\Users\CT1\miniconda3\envs\DentiumRIP\lib\site-packages\torch\lib\cublas64_11.dll" or one of its dependencies.
And, when I do conda install pytorch torchvision torchaudio cudatoolkit=11.2 -c pytorch -c conda-forge, the cupy import doesn't work.
please tell me how to fix it..
Failed to import CuPy.
If you installed CuPy via wheels (cupy-cudaXXX or cupy-rocm-X-X), make sure that the package matches with the version of CUDA or ROCm installed.
On Linux, you may need to set LD_LIBRARY_PATH environment variable depending on how you installed CUDA/ROCm.
On Windows, try setting CUDA_PATH environment variable.
Check the Installation Guide for details:
https://docs.cupy.dev/en/latest/install.html
Original error:
ImportError: DLL load failed: 지정된 프로시저를 찾을 수 없습니다.
I was able to install xgboost on my mac and have it so that I can import the module without any errors. However I cannot use it. When I try to import XGBRegressor. I get the following error :
cannot import name 'XGBRegressor' from 'xgboost' (unknown location).
Some of the support for this type of problem says that there may be more than one xgboost location, and that python is selecting the incorrect xgboost, however I have not been able to find how to fix this problem.
When I print the xgboost.__file__ location, it returns 'None'. However I know its in the site-packages folder in my python path.
I have python 3.9
Maybe this.
conda install -c conda-forge xgboost=0.6a2
Then, restart Spyder and re-run!
I'm trying to use keras on a jupyter lab using tensorflow (python 3.6) through miniconda.
Jupyter lab keeps give me a restarting error(Kernel Restarting The kernel for Desktop/Transfer/Untitled.ipynb appears to have died. It will restart automatically.)
Because the kernel restarting error is evident whenever I try to import keras. The code I used is (from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array, array_to_img).
Code
Therefore, I assume that there is a problem between keras and kernel even though I already installed ipykernel in my tensorflow directory ((tensorflow) C:\Users\user).
Pip_list
Still couldn't figure out this kernel and keras problem :(.
I am tying to rebuild my computer to run Spyder in a tensorflow environment for some image processing. In the past this worked and I had scikit-image working fully in that environment, and accessible from Spyder. Something has changed. I have:
1) re-installed Anaconda
2) re-installed tensorflow in a conda environment
3) installed libraries as needed, including Spyder.
Then I start Spyder from the Conda navigator, in the tensorflow environment. This seems to work, I can import tensorflow, keras, pandas, sklearn, etc. But skimage only works partially. for example:
import skimage
works fine. But,
import skimage.io as io
does not. The error comes out as 'from PIL import Image' Is this something about PIL/pillow not co-existing in the same environment? Can this be fixed easily or should I just use opencv for image io? I have tried other modules in skimage and they all import. So using another package to open an image would not be the end of the world, but it would be nice to get the entirety of skimage working.
Thanks
I'm relatively new to python, so please excuse my ignorance on what could be a very easy fix. I am running python 3.6 through the Rodeo IDE, and it has been great, as it is similar to R-Studio (which I am very familiar with). As an aspiring data scientist, I am trying to learn how to fit regression and time series models to data, and all of the tutorials that I have found all say that I need various packages, all of which should be included in the Anaconda library. After downloading and re-downloading Python, Rodeo, and Anaconda, and trying various online fixes, I have been unable to successfully load the scikit-learn and the statsmodels modules.
#here is everything I have tried.
#using pip
! pip install 'statsmodels'
! pip install 'scikit-learn'
! pip install 'sklearn'
I don't get any errors here, and to be honest I'm kind of confused as to what this actually does, but I have seen many people online always suggest that this is a big problem when trying to import modules.
#using import
import sklearn
import statsmodels
from sklearn import datasets
import statsmodels.api as sm
all of the above give me the same error:
import statsmodels.api as sm
ImportError: No module named 'statsmodels'
ImportError: Traceback (most recent call last)
ipython-input-184-6030a6549dc0 in module()
----> 1 import statsmodels.api as sm
ImportError: No module named 'statsmodels'
I have tried to set my working directory to the Anaconda 3 file that has all of the packages and rerunning the above code with no success.
I'm thinking that the most likely problem has to do with my inexperience, and it is probably a simple fix. Is it possible that the IDE is bad or anaconda just doesn't like me?
So keeping all of the above in mind, the question is, how can I import these modules successfully so that I can access their functionality?
Option 1:
After installing packages with pip, try closing and reopening your IDE/Jupyter Notebook and try again.
This is a known bug that Jake VanderPlas outlined here
Option 2:
Don't put quotations around your pip messages.
!pip install -U statsmodels
!pip install scikit-learn
Option 3:
Also are you using Anaconda? If you are, you should already have scikit-learn. If you are trying inside Rodeo, I think you need to set your path inside Rodeo. Open Rodeo and set the Python Path to your fresh anaconda. See here