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fix the database.py indent
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fix(machine_id): change the last processed id to dict to better get the
last id for each amchine
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fix(algorithm): changing how the algo works
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fix(lstm): change the algorithm for LSTM
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fix(gitattributes): added keras support
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remove the unnecassery logger
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fix(app): fixing the logic of reseting the last processed id
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fucking indentation
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fix(database): fixing so that ensuring the data that has already been
processed doesn't get processed again -
forgot to add sys
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fix(app); fixing the logging to find out the duplication
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fix(controller): remove creating new instance of database
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feat(optimize): added startup to initailzie model instead of
initializing everytime somebody acces the endpoint -
fix(logging): fix some warning to not appear and switching the
scikit-learn to 1.6.1 -
fix(app); change the NULL to None
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feat(database): added logger and create to a new database method
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fix(app): update prediction endpoint to use binary prediction method
AtthalaricNero
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feat(controller): implement binary and classification prediction methods with error handling
AtthalaricNero
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feat(anomaly): add functions for preparing sensor data and calculating risk scores
AtthalaricNero
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feat(model): add anomaly detection models and scalers
AtthalaricNero
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fix(docker): change the version into 3.13
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fix(utils): remove month
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feat(model): added LSTM model
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fix readme
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feat: new controller and databse connection
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first application
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initial commit
