mimizuku 0.2.4

A package for anomaly detection using Isolation Forest for Wazuh Alerts

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)