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Tool Usage

  1. Use the smartctl tool to collect SMART data of drives (both normal and faulty drives) every day, label whether the drives are faulty, and sort the data into a data file to be trained in the specified format, for example, fault_train.csv. For details, refer to Data Collection and Input File Format. In the fault_train.csv file, the fault column indicates whether a drive is faulty.
  2. Import BoostKit_KSML functions.
    from BoostKit_KSML.hdd_fault_detect import fault_train
    from BoostKit_KSML.hdd_fault_detect import fault_update
    from BoostKit_KSML.hdd_fault_detect import fault_predict
  3. Call the fault_train interface and enter the to-be-trained data file obtained in step 1 to obtain a binary training model model.pkl.
    fault_train(r"fault_train.csv", r"model.pkl")
  4. (Optional) Use the smartctl tool to collect SMART data of drives (both normal and faulty drives) every day, label whether the drives are faulty, and sort the data into a data file for incremental training of the specified format, for example, fault_update.csv. For details, refer to Data Collection and Input File Format. The fault column in this file indicates whether a drive is faulty.
  5. (Optional) Call the fault_update interface, input the fault_update.csv file for incrementally training the existing model model.pkl, and generate an updated model new_model.pkl.
    fault_update(r"fault_update.csv", r"model.pkl", r"new_model.pkl")
  6. Use the smartctl tool to collect SMART data of drives to be predicted and sort the data into a data file in the specified format, for example, fault_predict.csv. For details, refer to Data Collection and Input File Format. fault_predict.csv is the dataset to be predicted and is not labeled.
  7. Call the fault_predict interface, and input the data file to be predicted (fault_predict.csv) and the existing model (model.pkl). If you have performed steps 4 and 5, replace model.pkl with new_model.pkl.
    fault_predict(r"fault_predict.csv", r"model.pkl")

Interface logs are output by sub-loggers to the file specified by the log_file parameter. For details about the parameter, see Parameter Package. If the logging module directly configures and modifies RootLogger, logs of all sub-loggers are transmitted to RootLogger and output by RootLogger.