I received the following error when trying to install GraphLab Create on Windows.
There was a problem creating the "gl-env" conda environment. Restart GraphLab Create Launcher.
Any advice on how to fix this?
In order to solve the problem I had to slightly modify the
https://turi.com/download/install-graphlab-create-command-line.html.
procedure with the following changes:
Step 1: Download Anaconda2 v4.0.0
Step 2: Install Anaconda
Run Anaconda2 v4.0.0 installer.
Double-click the .exe file to install Anaconda and follow the instructions on the screen.
Step 3: Create conda environment
Create a new conda environment with Python 2.7.x
CD anaconda2/scripts/
conda install -n root _license
conda update pip
conda create -n gl-env python=2.7 anaconda=4.0.0
Activate the conda environment
activate gl-env
Step 4: Ensure pip version >= 7
Ensure pip is updated to the latest version
miniconda users may need to install pip first, using conda install pip
CD anaconda2/envs/gl-env/
conda install pip or conda update pip
Install your licensed copy of GraphLab Create
pip install --upgrade --no-cache-dir https://get.graphlab.com/GraphLab-Create/2.1/ your registered email address here/your product key here/GraphLab-Create-License.tar.gz
Step 6: Ensure installation of IPython and IPython Notebook
Install or update IPython and IPython Notebook
conda install ipython-notebook
Step 7: Start IPhyton Notebook
Start IPhyton from gl-env
ipython notebook
Use following command:
conda create -n gl-env python=2.7 anaconda
instead of:
conda create -n gl-env python=2.7 anaconda=4.0.0
Note: gl-env can be replaced by any name eg. gbl-env. It does not need to be gl-env only.
Later you can follow the steps from turi.com or the following reference:
Reference
It seems that the work around for this issue right now is to use the command line instructions to install GraphLab Create. Note that these instructions are only for people who have previously tried to install using the GraphLab Create Launcher. If you have not installed any GraphLab products, then you can start at Step 1 of the command line instructions:
Go to Control Panel > Programs > Programs and Features.
In this panel, uninstall all instances of "GraphLab Create Launcher".
Reboot.
Reinstall GraphLab Create using the command line method starting at "Option 1: Step 2: Ensure pip version >= 7": https://turi.com/download/install-graphlab-create-command-line.html.
GraphLab Installation Steps on Windows:
Go to turi.com → Hover over Coursera Students → Click on Academic Licenses → Register → Check your email
Download Anaconda2 v4.0.0
Install it
Open Anaconda Navigator
Create a GraphLab environment using create button at the bottom of the interface, select python version 2.7, name it "gl-env"
Environments tab → Create → Python version = 2.7 → gl-env
Sample Image
N.B: It may take some time
Then select gl-env and clik play button, some options will pop up, select terminal
gl-env → Play button → Terminal
Execute the following command
python -m pip install pip==9.0.1
8.Execute the following command replacingYour email and license that has been sent to your email:
pip install --upgrade --no-cache-dir https://get.graphlab.com/GraphLab-Create/2.1/your email/license/GraphLab-Create-License.tar.gz
Execute the following command
conda install ipython-notebook
Click on Open with python notebook on your gl-env play button from anaconda navigator
Now execute the following command on Jupyter notebook
graphlab.get_dependencies()
Then execute
import graphlab
Hopefully you are all set
Related
I used the following guide to install tensorflow-gpu - https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc
I created a new environment and installed tensorflow-gpu using the command -
conda create --name tf_gpu tensorflow-gpu
If I activate the environment, start python in terminal, and import tensorflow from the terminal, it works.
BUT
When I activate the environment, run a jupyter notebook and type -
import tensorflow
I get module not found error. How do I resolve this?
Start Command Promt (CMD) as administrator (right click). Do not enter any environment yet.
Install Jupyter (and nb_conda as well as ipykernel) to get your environments listed: conda install jupyter nb_conda ipykernel
Activate the environment you want to add to jupyter kernel: conda activate myenv
Install ipykernel in the environment (do this for all envvironemnts you would like to add): conda install ipykernel
To start Jupyter, cd to root (cd .. until you are at C:) then type (does not need to be inside and env): Jupyter noteboook
You might need to confirm that it shall open in a web browser (I use chrome)
Once open in a browser navigate to the folder of your choice, then make a new python 3 file.
Once inside click Kernel -> Change kernel and select the conda env you would like
You should now be able to change kernel (env) within all conda environments that have ipykernel installed (step 4)
I'm trying to run some code in Spyder Anaconda. I thought it would be as simple as importing it as seen in the code but I get an error message:
ModuleNotFoundError: No module named 'image_registration'
I know this means that image_registration isn't included in what Spyder already has but I cant quite figure out how to add it.
from image_registration import chi2_shift
from image_registration.fft_tools import shift
Add your Anaconda Scripts path (Default=C:\Users\userna**\Anaconda3\Scripts) to Environment Variables and open your command prompt and type
pip.exe install module_nameIn your case pip.exe install image_registration To install module image Registration
Please tryout the below steps in anaconda prompt
1. conda create -n myenv
2. activate myenv
3. pip install image_registration
4. conda install spyder
5. spyder
If you have already installed image_registration package in an environment you can activate that environment and try to open spyder from the activated environment.
I installed anaconda2 on my iMac. Then I use anaconda2 to install tensorflow.
Either by using
conda install -c conda-forge tensorflow
Or by using Anaconda Navigator, search the package tensorflow and then select to install.
In both cases, after I did the tensorflow installation. my command line terminal changed to
(base) Admin's-iMac:~ admin$ , (base) showed up now. What is this (base)?
In my .bash_profile,
# added by Anaconda2 2018.12 installer
# >>> conda init >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$(CONDA_REPORT_ERRORS=false '/Users/admin/anaconda2/bin/conda' shell.bash hook 2> /dev/null)"
if [ $? -eq 0 ]; then
\eval "$__conda_setup"
else
if [ -f "/Users/admin/anaconda2/etc/profile.d/conda.sh" ]; then
. "/Users/admin/anaconda2/etc/profile.d/conda.sh"
CONDA_CHANGEPS1=false conda activate base
else
\export PATH="/Users/admin/anaconda2/bin:$PATH"
fi
fi
unset __conda_setup
# <<< conda init <<<
I have these lines.
So it seems some of the conda setup conditions met, and
CONDA_CHANGEPS1=false conda activate base
So my login terminal will "conda activate base", using conda virtualenv.
So now my terminal showed (base) each time I opened the terminal window. Does it mean some errors happened with my conda or conda packages installation?
To get rid of the (base), I need to reinstall anaconda2.
Thanks!
Pretty late but anyway - I got the same using miniconda on wsl, windows.
You can turn it off by - $conda deactivate and the terminal comes back to normal.
I have been trying to install tensorflow via Conda for a couple days now with no luck.
I made a fresh install of anaconda3/miniconda3 followed the steps to fix the .bash_profile issue. Then
$ conda create -n tensorflow pip python=3.6
seems to work. However
$ source activate tensorflow
does nothing. I tried conda activate tensorflow and nothing. If I type conda info I can see that the tensorflow env is running. But I have no ability to type within it?
Welcome to Python and Tensorflow.
This bit really takes a long time to figure out unless somebody told you how to do so.
Follow this. Assume you installed Miniconda (then python is automatically installed) and you are using linux (cuz you mentioned 'source')
You want to make an conda environment named 'ai3' and you wanna install many packages like tensorflow within 'ai3' env.
In your command line,
1) Create ai3 env: see https://conda.io/docs/user-guide/tasks/manage-environments.html for details
$ conda create -n ai3 python=3.6
2) Log your current command window into the ai3 env
$ source activate ai3
3) Install packages, for example tensorflow: details in https://www.tensorflow.org/install/install_linux but that does not really help FOBs
$ pip install tensorflow
4) Enter yes whenever your command window asks sth. Once it's done, then you wish to use tensorflow (TF) in python. Do this
$ python
$ >> import tensorflow as tf
$ >> hello = tf.constant('Hello, TensorFlow!')
$ >> with tf.Session() as sess:
$ >> sess.run(hello)
4-1-0) Obviously you don't wanna do this all the time. Download Pycharm community edition (in https://www.jetbrains.com/pycharm/download/#section=linux) and install.
4-1-1) Create a new project in any location you like with interpreter 'ai3'. Interpreter is the env you just prepared in step 1,2,3): click 'add local' by clicking a button at the right end of the 'Interpreter' line -> a python file at '/miniconda3/envs/ai3/bin/python'
5) Now work with many tutorials out there on this setup
First you need to check the naming convention you are using. I know that's how documentation suggests, but I think it's misleading.
Name your environment according to what you want to be doing inside of it. Tensorflow is a package (that can be a python package) that you will use inside of the environment so you can name it something like:
$ conda create --name 'machinelearning-env' pip python=3.6
Also if you just installed Anaconda you do not need to specify the python designation.
Then you need to activate your environment with
source activate (whatever you named your conda env)
Next you can install with :
:~/anaconda3/envs$ pip install --ignore-installed --upgrade (the tensorflow url found here: https://www.tensorflow.org/install/install_linux#the_url_of_the_tensorflow_python_package )
Finally instantiate python and then you can import tensorflow with :
import tensorflow as tf
I suggest you refer back to the tensorflow documentation as it's all there. Good luck!
You should first give a name to your environment then give package names that you want to install ie.
conda create -n tensorflow_env tensorflow
Easiest way for me at least.
From [Anaconda installer archive], I install Anaconda3-4.2.0-Windows-x86_64.exe, I open a conda prompt. I create conda environment.
conda create -n keras_tensorflow_2 python=3.5
Activate it.
activate keras_tensorflow_2
Install Theano, Tensorflow & Keras.
conda install theano
pip install --ignore-installed --upgrade tensorflow
pip install keras
*Although here, theano is successfully installed but does not work. But that's a different matter.
Run python & test for tensorflow inside the conda prompt.
python
import tensorflow
No error. It works.
So now I want to open using Spyder.
If I directly open Spyder, and import tensorflow inside the IPython, error shows:
ImportError: No module named tensorflow
So what I did that work is
Open Anaconda Navigator
Anaconda Navigator>Environments. Click keras_tensorflow_2 environment. [Pic_1]
Anaconda Navigator>Home. At dropdown menu for "Applications on", choose tensorflow_2. Install Spyder. [Pic_2]
Then, open Spyder from Start Menu. Windows Security Alert pop up. Click Allow access. [Pic_3] . Test tensorflow, still not working.
So have to go back to Conda Prompt. Type
activate tensorflow_2
spyder
Conda prompt will automatically close and Spyder will automatically open. Import Tensorflow. Finally WORKS!
Up until this point, the folder Anaconda3>envs>tensorflow_2 still has python.exe and pythonw.exe as show here [Pic_4].
HOWEVER, once I close/restart Spyder, the folder Anaconda3>envs>tensorflow_2automatically has MISSING python.exe and pythonw.exe. [Pic_5] I don't know why this would happen. So I can no longer use this environment. When I tried to 'Open with IPython' through anaconda navigator [Pic_1], error:
Unable to create process using
'C:\Anaconda3\envs\keras_tensorflow_2\python.exe
C:\Anaconda3\envs\keras_tensorflow_2\Scripts\ipython-script.py -i'
And every time I want to use Tensorflow, I have to recreate the environment. Any advice please? Thank you.
All pictures available here: https://drive.google.com/open?id=0B6eS8bjSwwBLSzFRTFVHdG9zTTA
I found a way around it. Python.exe and Pythonw.exe still missing. Maybe it actually doesn't matter them being missing. I don't know.
Anyway, when inside conda prompt, if I navigate to my specific environment's Script, activate the environment and then run Spyder from there, it will work.
cd C:\Anaconda3\envs\keras_tensorflow_2\Scripts
activate keras_tensorflow_2
spyder
Reference: How to ensure that Spyder runs within a conda environment?