Comments (4)
Hi @abhishekkrthakur ,
Thank you for adding the environment_osx.yml
file to the repository, but running
conda env create -f environment_osx.yml
gets an error.
Pip subprocess error:
ERROR: Could not find a version that satisfies the requirement python-graphviz==0.13 (from -r /Users/congvc/approachingalmost/condaenv._voz6otr.requirements.txt (line 77)) (from versions: none)
ERROR: No matching distribution found for python-graphviz==0.13 (from -r /Users/congvc/approachingalmost/condaenv._voz6otr.requirements.txt (line 77))
BTW, can you share how to create these environment*.yml
files?
from approachingalmost.
Can you please try the new env file I just pushed?
I use : conda env export | grep -v "^prefix: " > environment.yml
from approachingalmost.
I've tried the new env file, it works! Thank you.
from approachingalmost.
Great!
from approachingalmost.
Related Issues (20)
- Can't get code on page 137 to work
- In `adult citizens` problem you don't include `education.num` in number column
- Why don't you use average auc (but list of auc's)?
- Is the keras model in adult sensus data realy is the best? HOT 1
- Typo on page 5
- Hard to differentiate code from comments HOT 1
- code missing create_folds.py missing HOT 1
- numpy version is conflicting HOT 3
- Error while loading the vectors of crawl-300d-2M.vec
- csv files used in the book HOT 3
- fillna() issue
- Correction in Page 37
- keras model translation to pytorch doesn't perform as expected
- Arranging machine learning projects as GH template HOT 2
- load_vectors - Memory Issue
- a version of the book with an index or table of contents?
- Hello author, I encountered the following installation package error when I used your environment.yml to create the environment. I tried to update conda, pip and the corresponding mirror source, but still failed to solve it. How can I solve this problem?
- Supervised Learning - First example MNIST data HOT 1
- Can I help you translate the book into Chinese? HOT 4
- Bug in page 213 HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from approachingalmost.