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Update examples requirements
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autokeras
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autokeras
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tensorflow==2.1.0
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tensorflow==2.1.0
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trains
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Keras
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Keras
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tensorflow>=2.0
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tensorflow>=2.0
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trains
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matplotlib >= 3.1.1 ; python_version >= '3.6'
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matplotlib >= 3.1.1 ; python_version >= '3.6'
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matplotlib >= 2.2.4 ; python_version < '3.6'
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matplotlib >= 2.2.4 ; python_version < '3.6'
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seaborn
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seaborn
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trains
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matplotlib
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matplotlib
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# tensorboardX
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tensorboardX
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tensorboard>=1.14.0
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tensorboard>=1.14.0
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torch>=1.1.0
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torch>=1.1.0
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torchvision>=0.3.0
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torchvision>=0.3.0
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trains
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joblib>=0.13.2
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joblib>=0.13.2
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scikit-learn
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matplotlib >= 3.1.1 ; python_version >= '3.6'
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trains
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matplotlib >= 2.2.4 ; python_version < '3.6'
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scikit-learn
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tensorboardX>=1.8
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tensorboardX>=1.8
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torch>=1.1.0
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torch>=1.1.0
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torchvision>=0.3.0
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torchvision>=0.3.0
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trains
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trains
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tensorboard>=1.14.0
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tensorboard>=1.14.0
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tensorflow>=1.14.0
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tensorflow>=1.14.0
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tensorboard>=2.0
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tensorboard>=2.0
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tensorflow>=2.0
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tensorflow>=2.0
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trains
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matplotlib >= 3.1.1 ; python_version >= '3.6'
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matplotlib >= 2.2.4 ; python_version < '3.6'
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sklearn
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sklearn
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trains
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xgboost>=0.90 ; python_version >= '3'
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xgboost>=0.90 ; python_version >= '3'
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xgboost>=0.82 ; python_version < '3'
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xgboost>=0.82 ; python_version < '3'
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# sudo apt-get install graphviz
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# sudo apt-get install graphviz
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absl-py>=0.7.1
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absl-py>=0.7.1
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bokeh>=2.1.0
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bokeh
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numpy
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numpy
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pandas
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pandas
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pillow>=4.0
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pillow>=4.0
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trains
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