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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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90
environment-windows.yml
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@ -3,54 +3,44 @@ channels:
- conda-forge - conda-forge
- defaults - defaults
dependencies: dependencies:
- graphviz - atari_py=0.2 # used only in chapter 18
- imageio=2.6.1 - ftfy=5.8 # used only in chapter 16 by the transformers library
- ipython=7.10.1 - graphviz # used only in chapter 6 for dot files
- ipywidgets=7.5.1 - gym=0.18 # used only in chapter 18
- joblib=0.14.0 - ipython=7.20 # a powerful Python shell
- jupyter=1.0.0 - ipywidgets=7.6 # optionally used only in chapter 12 for tqdm in Jupyter
- matplotlib=3.1.2 - joblib=0.14 # used only in chapter 2 to save/load Scikit-Learn models
- nbdime=1.1.0 - jupyter=1.0 # to edit and run Jupyter notebooks
- nltk=3.4.5 - matplotlib=3.3 # beautiful plots. See tutorial tools_matplotlib.ipynb
- numexpr=2.7.0 - nbdime=2.1 # optional tool to diff Jupyter notebooks
- numpy=1.17.3 - nltk=3.4 # optionally used in chapter 3, exercise 4
- pandas=0.25.3 - numexpr=2.7 # used only in the Pandas tutorial for numerical expressions
- pillow=6.2.1 - numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools
- pip - opencv=4.5 # used only in chapter 18 by TF Agents for image preprocessing
- py-xgboost=0.90 - pandas=1.2 # data analysis and manipulation tool
- pydot=1.4.1 - pillow=8.1 # image manipulation library, (used by matplotlib.image.imread)
- pyopengl=3.1.3b2 - pip # Python's package-management system
- python=3.7 - py-xgboost=0.90 # used only in chapter 7 for optimized Gradient Boosting
- python-graphviz - pyglet=1.5 # used only in chapter 18 to render environments
- requests=2.22.0 - pyopengl=3.1 # used only in chapter 18 to render environments
- scikit-image=0.16.2 - python=3.7 # Python! Not using latest version as some libs lack support
- scikit-learn=0.22 - python-graphviz # used only in chapter 6 for dot files
- scipy=1.3.1 - requests=2.25 # used only in chapter 19 for REST API queries
- tqdm=4.40.0 - scikit-learn=0.24 # machine learning library
- wheel - scipy=1.6 # scientific/technical computing library
- widgetsnbextension=3.5.1 - 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 # interactive HTML widgets for Jupyter notebooks
- pip: - pip:
#- atari-py==0.2.6 # NOT ON WINDOWS YET - tensorboard-plugin-profile==2.4.0 # profiling plugin for TensorBoard
- ftfy==5.7 - tensorboard==2.4.1 # TensorFlow's visualization toolkit
- gym==0.15.4 - tensorflow-addons==0.12.1 # used only in chapter 16 for a seq2seq impl.
- opencv-python==4.1.2.30 - tensorflow-datasets==3.0.0 # datasets repository, ready to use
- psutil==5.6.7 - tensorflow-hub==0.9.0 # trained ML models repository, ready to use
- pyglet==1.3.2 - tensorflow-probability==0.12.1 # Optional. Probability/Stats lib.
- spacy==2.2.4 - tensorflow-serving-api==2.4.1 # or tensorflow-serving-api-gpu if gpu
- tensorboard==2.1.1 - tensorflow==2.4.1 # Deep Learning library
#- tensorflow-addons==0.8.3 # NOT ON WINDOWS YET - tf-agents==0.7.1 # Reinforcement Learning lib based on TensorFlow
#- tensorflow-data-validation==0.21.5 # NOT ON WINDOWS YET - tfx==0.27.0 # platform to deploy production ML pipelines
- tensorflow-datasets==2.1.0 - urlextract==1.2.0 # optionally used in chapter 3, exercise 4
- tensorflow-estimator==2.1.0
- tensorflow-hub==0.7.0
#- tensorflow-metadata==0.21.1 # NOT ON WINDOWS YET
#- tensorflow-model-analysis==0.21.6 # NOT ON WINDOWS YET
- tensorflow-probability==0.9.0
- tensorflow-serving-api==2.1.0 # or tensorflow-serving-api-gpu if gpu
#- tensorflow-transform==0.21.2 # NOT ON WINDOWS YET
- tensorflow==2.1.0 # or tensorflow-gpu if gpu
- tf-agents==0.3.0
#- tfx==0.21.2 # NOT ON WINDOWS YET
- transformers==2.8.0
- urlextract==0.13.0
#- pyvirtualdisplay # add if on headless server

36
environment.yml
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@ -10,29 +10,29 @@ dependencies:
- ipython=7.20 # a powerful Python shell - ipython=7.20 # a powerful Python shell
- ipywidgets=7.6 # optionally used only in chapter 12 for tqdm in Jupyter - 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 - joblib=0.14 # used only in chapter 2 to save/load Scikit-Learn models
- jupyter=1.0.0 # to edit and run Jupyter notebooks - jupyter=1.0 # to edit and run Jupyter notebooks
- matplotlib=3.3.4 # beautiful plots. See tutorial tools_matplotlib.ipynb - matplotlib=3.3 # beautiful plots. See tutorial tools_matplotlib.ipynb
- nbdime=2.1.0 # optional tool to diff Jupyter notebooks - nbdime=2.1 # optional tool to diff Jupyter notebooks
- nltk=3.4.4 # optionally used in chapter 3, exercise 4 - nltk=3.4 # optionally used in chapter 3, exercise 4
- numexpr=2.7.2 # used only in the Pandas tutorial for numerical expressions - numexpr=2.7 # used only in the Pandas tutorial for numerical expressions
- numpy=1.19.5 # Powerful n-dimensional arrays and numerical computing tools - numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools
- opencv=4.5.1 # used only in chapter 18 by TF Agents for image preprocessing - opencv=4.5 # used only in chapter 18 by TF Agents for image preprocessing
- pandas=1.2.2 # data analysis and manipulation tool - pandas=1.2 # data analysis and manipulation tool
- pillow=8.1.0 # image manipulation library, (used by matplotlib.image.imread) - pillow=8.1 # image manipulation library, (used by matplotlib.image.imread)
- pip # Python's package-management system - pip # Python's package-management system
- py-xgboost=1.3.0 # used only in chapter 7 for optimized Gradient Boosting - py-xgboost=1.3 # used only in chapter 7 for optimized Gradient Boosting
- pyglet=1.5.15 # used only in chapter 18 to render environments - pyglet=1.5 # used only in chapter 18 to render environments
- pyopengl=3.1.5 # 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=3.7 # Python! Not using latest version as some libs lack support
- python-graphviz # used only in chapter 6 for dot files - python-graphviz # used only in chapter 6 for dot files
#- pyvirtualdisplay=1.3 # used only in chapter 18 if on headless server #- 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 - requests=2.25 # used only in chapter 19 for REST API queries
- scikit-learn=0.24.1 # machine learning library - scikit-learn=0.24 # machine learning library
- scipy=1.6.0 # scientific/technical computing library - scipy=1.6 # scientific/technical computing library
- tqdm=4.56.1 # a progress bar library - tqdm=4.56 # a progress bar library
- transformers=4.3.2 # Natural Language Processing lib for TF or PyTorch - transformers=4.3 # Natural Language Processing lib for TF or PyTorch
- wheel # built-package format for pip - 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: - pip:
- tensorboard-plugin-profile==2.4.0 # profiling plugin for TensorBoard - tensorboard-plugin-profile==2.4.0 # profiling plugin for TensorBoard
- tensorboard==2.4.1 # TensorFlow's visualization toolkit - tensorboard==2.4.1 # TensorFlow's visualization toolkit