Zaktualizuj 'training.py'
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@ -9,10 +9,12 @@ import random
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exint = Experiment('z-s434743-training')
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exint.observers.append(MongoObserver(url='mongodb://admin:IUM_2021@172.17.0.1:27017',
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db_name='sacred'))
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exint.observers.append(FileStorageObserver('z-s434743-training/master'))
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@exint.config
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def my_config():
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EPOCHS = int(os.environ['EPOCHS'])
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@ -20,7 +22,7 @@ def my_config():
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@exint.main
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def my_main(EPOCHS, _run):
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_run.info["epochs"] = EPOCHS,
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_run.info["epochs"] = EPOCHS
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normalize = layers.Normalization()
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train_data_x = pandas.read_csv('./X_train.csv')
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_run.info["data"] = train_data_x
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@ -46,5 +48,7 @@ def my_main(EPOCHS, _run):
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exint.run()
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exint.add_artifact('test/saved_model.pb')
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exint.add_source_file('./ium_z434743/train.py')
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