Update libraries to latest versions, including Sklearn 1.0 and TF 2.6

This commit is contained in:
Aurélien Geron
2021-10-10 23:44:40 +13:00
parent 5822444ba7
commit 0d3829f2fc
2 changed files with 71 additions and 64 deletions

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@@ -5,19 +5,19 @@
##### Core scientific packages
jupyter==1.0.0
matplotlib==3.3.4
matplotlib==3.4.3
numpy==1.19.5
pandas==1.2.2
scipy==1.6.0
pandas==1.3.3
scipy==1.7.1
##### Machine Learning packages
scikit-learn==0.24.2
scikit-learn==1.0
# Optional: the XGBoost library is only used in chapter 7
xgboost==1.3.3
xgboost==1.4.2
# Optional: the transformers library is only using in chapter 16
transformers==4.3.2
transformers==4.11.3
##### TensorFlow-related packages
@@ -27,41 +27,41 @@ transformers==4.3.2
# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
# installation instructions.
tensorflow==2.4.2
tensorflow==2.6.0
# Optional: the TF Serving API library is just needed for chapter 19.
tensorflow-serving-api==2.4.1 # or tensorflow-serving-api-gpu if gpu
tensorflow-serving-api==2.6.0 # or tensorflow-serving-api-gpu if gpu
tensorboard==2.4.1
tensorboard-plugin-profile==2.4.0
tensorflow-datasets==3.0.0
tensorflow-hub==0.9.0
tensorflow-probability==0.12.1
tensorboard==2.6.0
tensorboard-plugin-profile==2.5.0
tensorflow-datasets==4.4.0
tensorflow-hub==0.12.0
tensorflow-probability==0.14.1
# Optional: only used in chapter 13.
# NOT AVAILABLE ON WINDOWS
tfx==0.27.0
tfx==1.3.0
# Optional: only used in chapter 16.
# NOT AVAILABLE ON WINDOWS
tensorflow-addons==0.12.1
tensorflow-addons==0.14.0
##### Reinforcement Learning library (chapter 18)
# There are a few dependencies you need to install first, check out:
# https://github.com/openai/gym#installing-everything
gym[Box2D]==0.18.0
atari_py==0.2.5
gym[Box2D]==0.21.0
atari-py==0.2.5
# On Windows, install atari_py using:
# pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
tf-agents==0.7.1
tf-agents==0.10.0
##### Image manipulation
Pillow==8.3.2
graphviz==0.16
opencv-python==4.5.1.48
pyglet==1.5.0
graphviz==0.17
opencv-python==4.5.3.56
pyglet==1.5.21
#pyvirtualdisplay # needed in chapter 16, if on a headless server
# (i.e., without screen, e.g., Colab or VM)
@@ -73,23 +73,24 @@ pyglet==1.5.0
joblib==0.14.1
# Easy http requests
requests==2.25.1
requests==2.26.0
# Nice utility to diff Jupyter Notebooks.
nbdime==2.1.0
nbdime==3.1.0
# May be useful with Pandas for complex "where" clauses (e.g., Pandas
# tutorial).
numexpr==2.7.2
numexpr==2.7.3
# Optional: these libraries can be useful in the classification chapter,
# exercise 4.
nltk==3.5
urlextract==1.2.0
nltk==3.6.3
urlextract==1.4.0
# Optional: these libraries are only used in chapter 16
ftfy==5.8
ftfy==6.0.3
# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
tqdm==4.56.1
ipywidgets==7.6.3
tqdm==4.62.3
ipywidgets==7.6.5