I'm following the instructions of the Deep Learning course by Google with TensorFlow. Unfortunately I'm stuck with this workbook right now.
I work in the docker vm with all the assignment code loaded as described here.
When I do all the imports everything works except for following line:
from sklearn.linear_model import LogisticRegression
it throws the following error:
>>> from sklearn.linear_model import LogisticRegression
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named sklearn.linear_model
This SO answer sounds promising, but I did not find the source directory of sklearn.
Any help greatly aprreciated.
You can install and upgrade sklearn from the shell with pip. That may or may not be the problem - but at least you'll know its installed.
sudo pip install --upgrade scikit-learn
In your Jupyter notebook:
import pip
pip.main(['install', 'sklearn'])
Please take note that when you are writing your code, you'll import the sklearn package using import sklearn, but when installing the package it with, say, conda, you should do the following:
conda install scikit-learn
Related
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
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
We're running into a lot of problems installing word2vec within python3. We just keep getting a standard error that python can't find the package it's looking for.
Competition-Repo/agents$ python3
Python 3.4.3 [GCC 4.8.4] on linux
import word2vec
Traceback (most recent call last):
File "", line 1, in ImportError: No module named 'word2vec'
Most everything I've found has either someone else's implementation of word2vec within python3, or is accessed through Gensim. The pip-install for python2 imports flawlessly, now we need to set up the same thing for python3.
Thanks!
-Ben
I just installed the product from Github site without incident on Python 3.4 but Win7Pro. It imports but who knows after that, right?
It comes with a setup.py. Being an inveterate experimenter I tried that, contrary to instructions. It failed.
At least this is easy to try, assuming you haven't already.
How exactly are you importing in python2?
With gensim, you can either import with -
from gensim.models import Word2Vec
or with -
from gensim.models import word2vec
The former is for the class Word2Vec and the latter for the module.
There is a tutorial here for getting started
The way we were able to install it was through:
sudo pip3 install cython
sudo pip3 install word2vec
Turned out to be a lot easier than I had thought..
I am trying to run some simple codes of scikit-learn in python, and while executing this, I encountered this error:
from sklearn.cross_validation import cross_val_predict
Traceback (most recent call last):
File "", line 1, in
from sklearn.cross_validation import cross_val_predict
ImportError: cannot import name cross_val_predict
I have downloaded scikit learn from this page: http://sourceforge.net/projects/scikit-learn/?source=typ_redirect and the other modules like sklearn.linear_model works well. It seems that I can also import successfully the module cross_validation.. I cannot understand!
Yes ! It seems works now ! In fact, instead of using the .exe files that I downloaded from internet (which turned out to be perhaps incompatible), I finally successed to install many modules by the standard "pip install". The only thing that I could not use "pip install" is the package "Scipy", so I had to replace it by a .exe file. Thank you for all your help !