copvur.blogg.se - Conda list environments

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. Miniforge will automatically use the community-maintained Conda-Forge repository, which has a much wider variety of packages and is generally more up to date than the Anaconda equivalent, in addition to being free of any commercial restrictions.It can be difficult to install a Python machine learning environment on some platforms. Then, simply install the packages you need (including Spyder, if you aren’t using our recommended Standalone installers) with conda as you usually do. Instead, you can simply download the similar Miniforge distribution, which is 100% open source and identical to full Anaconda (aside from not bundling the Python packages installed by default in the Anaconda base environment, which we recommend you avoid using anyway given any problems here can break your whole installation). However, these terms only apply to the package infrastructure (the full Anaconda distribution and the defaults conda channel). If you use Spyder with the Anaconda distribution, they recently changed their Terms of Service to add restrictions on large (> 200 employee) for-profit companies using Anaconda on a large scale.