A package for anomaly detection using Isolation Forest for Wazuh Alerts
Project description
Mimizuku
Mimizuku is a Python package for anomaly detection using Isolation Forest. It is designed to process log files and detect anomalies based on a variety of features.
Installation
pip install .
Usage
from mimizuku import Mimizuku
# Initialize the model
model = Mimizuku(n_estimators=500)
# Train the model with a log file or DataFrame
model.fit("./training.json")
# Save the trained model
model.save_model("./model.pkl")
# Load the model and use it for prediction
loaded_model = Mimizuku.load_model("./model.pkl")
anomalies_df = loaded_model.predict("./test.json")
# Display detected anomalies
print(anomalies_df)
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