slicing
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@ -7,13 +7,16 @@ import tensorflow
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from tensorflow.keras import layers
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ex = Experiment("470607", interactive=False, save_git_info=False)
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ex.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name='sacred'))
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ex.observers.append(
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MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name='sacred'))
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ex.observers.append(FileStorageObserver('my_runs'))
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@ex.config
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def my_config():
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learning_rate = float(sys.argv[1])
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@ex.capture
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def prepare_train_model(learning_rate, _run):
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_run.info["prepare_model"] = str(datetime.now())
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@ -28,10 +31,10 @@ def prepare_train_model(learning_rate, _run):
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Y_valid = pd.get_dummies(Y_valid)
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model = tensorflow.keras.Sequential([
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layers.Input(shape=(12,)),
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layers.Dense(32),
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layers.Dense(16),
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layers.Dense(2, activation='softmax')
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layers.Input(shape=(12,)),
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layers.Dense(32),
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layers.Dense(16),
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layers.Dense(2, activation='softmax')
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])
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model.compile(
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@ -43,7 +46,8 @@ def prepare_train_model(learning_rate, _run):
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model.save('grid-stability-dense.h5')
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_run['history'] = str(history)
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_run['history'] = str(history.history[:, -1])
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@ex.main
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def my_main(learning_rate):
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@ -52,4 +56,3 @@ def my_main(learning_rate):
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r = ex.run()
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ex.add_artifact('grid-stability-dense.h5')
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