Not sure if that’s going to be an issue (your note indicated that only either keras or tensorflow are needed). I then uninstalled everything and started fresh and left out Tensorflow. During install it stated that Python 3.6 and Tensorflow 3.5 are incompatible. I had an issue with installing Tensorflow in Win7 PC. Ignore_dependencies=self.ignore_dependencies))įile “C:\Users\stevenwsy\lib\site-packages\pip\req\req_set.py”, line 666, in _prepare_fileįile “C:\Users\stevenwsy\lib\site-packages\pip\utils\packaging.py”, line 48, in check_dist_requires_pythonįile “C:\Users\stevenwsy\lib\email\feedparser.py”, line 177, in feedįile “C:\Users\stevenwsy\lib\email\feedparser.py”, line 101, in pushĪttributeError: ‘NoneType’ object has no attribute ‘splitlines’ Self.requirement_set.prepare_files(self.finder)įile “C:\Users\stevenwsy\lib\site-packages\pip\req\req_set.py”, line 380, in prepare_files Requirement already satisfied: scipy>=0.11 in c:\users\stevenwsy\lib\site-packages (from theano->keras)įile “C:\Users\stevenwsy\lib\site-packages\pip\basecommand.py”, line 215, in mainįile “C:\Users\stevenwsy\lib\site-packages\pip\commands\install.py”, line 335, in runįile “C:\Users\stevenwsy\lib\site-packages\pip\wheel.py”, line 749, in build Requirement already satisfied: numpy>=1.7.1 in c:\users\stevenwsy\lib\site-packages (from theano->keras) Requirement already satisfied: six in c:\users\stevenwsy\lib\site-packages (from keras) Requirement already satisfied: pyyaml in c:\users\stevenwsy\lib\site-packages (from keras) Requirement already satisfied: theano in c:\users\stevenwsy\lib\site-packages (from keras) I have installed theano and tensorflow, while the errors pop out when installing keras. Update Mar/2017: Added note that you only need one of Theano or TensorFlow to use Keras for Deep Learning.Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples. I will demonstrate them on OS X, so you may see some mac dialogs and file extensions. These instructions are suitable for Windows, Mac OS X, and Linux platforms. In this tutorial, you will discover how to set up a Python machine learning development environment using Anaconda.Īfter completing this tutorial, you will have a working Python environment to begin learning, practicing, and developing machine learning and deep learning software. Python itself must be installed first and then there are many packages to install, and it can be confusing for beginners. It can be difficult to install a Python machine learning environment on some platforms. Honstly, I think that PIP and VENV are still the best, and I can't understand the use of a script when I must understand all the dependencies and packages to run it one single time, it would have been easier to write it from the beginning!Īlso I think when a script has so many dependencies, efforts should be done to compile that, that's why compiling is for,Īnyway, I will need help in creating an environment using conda without waiting for 6h or more. Now it has been solving the environment forever now, and I seem not to be the only one suffering, failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json). Now the author already describes nicely the requirements and dependencies of the script, however, I really get tough time trying to creat an environment via conda $ conda create -n py27 python=2.7 anacondaĬollecting package metadata (current_repodata.json). ![]() I'm interested in using a nice script from GitLab:
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