Comments (1)
Warning while piping requirements,
-- ERROR: tensorflow 2.2.1 has requirement numpy<1.19.0,>=1.16.0, but you'll have numpy 1.19.0 which is incompatible.
Hello @kafasin.
Just try to change numpy version from 1.19.0 to 1.18.5 in requirements.txt file. I haven't tested yet but the install process works fine, once version 1.18.5 solve all requirements for the packages that depend on numpy.
For more information about release 1.19.0 (like compatibility issues, deprecation and new features) follow this link.
However as mentioned by @abhishekkrthakur in #20, the book used TensorFlow 1.15 (last release of version 1). Due to diffs from ts v1 to v2, compatibility issues may occur (although the use of Keras API (tf.keras) can abstract these differences). In any case, there is a guide for migration between versions (see this link), or you can do as mentioned on README.md in this repo, changing the follow packages versions on requirements.txt file:
- gast: from 0.3.3 to 0.2.2
- numpy: from 1.19.0 to 1.18.5 (as mentioned before)
- tensorboard: from 2.2.2 to 1.15.0
- tensorflow: from 2.2.1 to 1.15.0
- tensorflow-estimator: from 2.2.0 to 1.15.1
I hope that could help you.
Cheers.
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
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from approachingalmost.