I've installed the Numpy, Scipy and Pandas modules to my library. Problem is when I import these modules to my code: while running my script, they take way longer to import compared to the python standard library modules. What should I do?
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What are the alternatives for rpmUtils? we use miscutils's compareEVR, stringToVersion heavily in our python services.
from rpmUtils.miscutils import compareEVR, stringToVersion
ImportError: No module named rpmUtils.miscutils
I am a beginner and I just started with machine learning. I am trying to import classes like imputer from sklearn but i am unable to do it.
from sklearn.preprocessing import Imputer,LabelEncoder,OneHotEncoder,StandardScaler
ImportError: cannot import name 'version' from
'sklearn.externals.joblib'
(C:\ProgramData\Anaconda3\lib\site-packages\sklearn\externals\joblib__init__.py)
I had the same problem.
I have replaced
from sklearn.externals import joblib
with
import joblib
and it works fine in Python 3.7.2
I believe there was an update on Scikit-learn that render that import unusable.
I had my local installation to be version 0.20.3 and this import is pefectly working. But on my server I have installation 0.23.1 and this error pop up. Something must be chaging in the new version.
For my case, use import joblib fix the problem. In your case it seems more complicated. This sounds very much likeky to be caused if you have more than one Scikit-learn version installed on your system. You need to uninstall all of them and do a clean install of sklearn.
The problem sometimes happens due to the version. This may help:
If you has written like this
from sklearn.externals import joblib
Modify it as this:
import joblib
Try
python -m pip install sklearn --upgrade
and
python -m pip install joblib --upgrade
and then, use this :
import joblib
Good luck.
import joblib
This works for me. Actually I was having that kinda challenge
I am trying to used Pytorch-neat package https://github.com/uber-research/PyTorch-NEAT but I don't understand the workflow of using it. I already installed python-neat package and I can import it using import neat in my Jupyter notebook. But what should I do with Pytroch-neat code? There is no pytorch-neat package in Conda or pip repositories, so, I guess that this Pytroch-neat code is not compiled and distributed as the Python package for Jupyter notebook. But what should I do with this code? E.g. sample script contains the code:
import neat
from pytorch_neat.multi_env_eval import MultiEnvEvaluator
So - neat is package and I am importing it. But how to understand the from clause? Should I load Pytroch-neat scripts somehow in the previous cells of my notebook and then I can call this from clause? Or maybe I should compile Pytroch-neat package locally and install it from local repository and import it similarly to neat package. But if so, why the examples use from clause?
I am starting to use Python and I am greatly confused with all of this!
To import from pytorch_neat you have to clone the repository and manually copy directory pytorch_neat into your site-packages (or any directory in sys.path).
If I include numpy in my script the bundle application does not even open. However, if I run the application from the console everything is fine. So:
pyinstaller -w myScript.spec
with import numpy as np in one of the modules does not create a proper executable. However:
python3.7 myScript.py
runs without problems. Even more, if I comment the import numpy as np line the executable is created without problem. I have also used numpy in another console-only script without problems.
So, how can I make PyInstaller include numpy in the bundle app?
I checked the warn-myScript.txt file from PyInstaller and there are lots of modules from numpy.core that are not found, for example: numpy.core.sqrt.
But I have no idea where to find these modules.
I tried doing what j4n7 suggested here, but it did not work.
I am using Python3.7, numpy 1.15.4 and PyInstaller 3.4
I installed Python from the Python web page and numpy and Pyinstaller using pip.
In a different computer I installed Python3.7 from homebrew and I have the same problem
I installed miniconda and then created an environment with numpy 1.15.4, Pyinstaller 3.4 and python3.7.1. Within the environment, I can create the bundle app with no problem.
However, the bundle app goes to 600MB. I will start a new question regarding how to reduce the size of the bundle app.
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