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Update libraries to latest version, including TensorFlow 2.4.1 and Scikit-Learn 0.24.1

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Aurélien Geron
2021-02-15 09:56:26 +13:00
parent cc70196eeb
commit a187605710
2 changed files with 58 additions and 68 deletions
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environment.yml
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@@ -10,29 +10,29 @@ dependencies:
- ipython=7.20 # a powerful Python shell
- ipywidgets=7.6 # optionally used only in chapter 12 for tqdm in Jupyter
- joblib=0.14 # used only in chapter 2 to save/load Scikit-Learn models
- jupyter=1.0.0 # to edit and run Jupyter notebooks
- matplotlib=3.3.4 # beautiful plots. See tutorial tools_matplotlib.ipynb
- nbdime=2.1.0 # optional tool to diff Jupyter notebooks
- nltk=3.4.4 # optionally used in chapter 3, exercise 4
- numexpr=2.7.2 # used only in the Pandas tutorial for numerical expressions
- numpy=1.19.5 # Powerful n-dimensional arrays and numerical computing tools
- opencv=4.5.1 # used only in chapter 18 by TF Agents for image preprocessing
- pandas=1.2.2 # data analysis and manipulation tool
- pillow=8.1.0 # image manipulation library, (used by matplotlib.image.imread)
- jupyter=1.0 # to edit and run Jupyter notebooks
- matplotlib=3.3 # beautiful plots. See tutorial tools_matplotlib.ipynb
- nbdime=2.1 # optional tool to diff Jupyter notebooks
- nltk=3.4 # optionally used in chapter 3, exercise 4
- numexpr=2.7 # used only in the Pandas tutorial for numerical expressions
- numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools
- opencv=4.5 # used only in chapter 18 by TF Agents for image preprocessing
- pandas=1.2 # data analysis and manipulation tool
- pillow=8.1 # image manipulation library, (used by matplotlib.image.imread)
- pip # Python's package-management system
- py-xgboost=1.3.0 # used only in chapter 7 for optimized Gradient Boosting
- pyglet=1.5.15 # used only in chapter 18 to render environments
- pyopengl=3.1.5 # used only in chapter 18 to render environments
- py-xgboost=1.3 # used only in chapter 7 for optimized Gradient Boosting
- pyglet=1.5 # used only in chapter 18 to render environments
- pyopengl=3.1 # used only in chapter 18 to render environments
- python=3.7 # Python! Not using latest version as some libs lack support
- python-graphviz # used only in chapter 6 for dot files
#- pyvirtualdisplay=1.3 # used only in chapter 18 if on headless server
- requests=2.25.1 # used only in chapter 19 for REST API queries
- scikit-learn=0.24.1 # machine learning library
- scipy=1.6.0 # scientific/technical computing library
- tqdm=4.56.1 # a progress bar library
- transformers=4.3.2 # Natural Language Processing lib for TF or PyTorch
- requests=2.25 # used only in chapter 19 for REST API queries
- scikit-learn=0.24 # machine learning library
- scipy=1.6 # scientific/technical computing library
- tqdm=4.56 # a progress bar library
- transformers=4.3 # Natural Language Processing lib for TF or PyTorch
- wheel # built-package format for pip
- widgetsnbextension=3.5.1 # interactive HTML widgets for Jupyter notebooks
- widgetsnbextension=3.5 # interactive HTML widgets for Jupyter notebooks
- pip:
- tensorboard-plugin-profile==2.4.0 # profiling plugin for TensorBoard
- tensorboard==2.4.1 # TensorFlow's visualization toolkit