pip install kaml kaml init my_project cd my_project yaml model: type: classification architecture: - type: dense units: 64 activation: relu - type: dense units: 1 activation: sigmoid optimizer: adam loss: binary_crossentropy metrics: accuracy kaml train my_dataset.csv model_config.yml -e 10 -b 32 kaml evaluate my_dataset.csv model_config.yml my_model.h5 kaml deploy my_model.h5


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