Welcome to PYFBAD’s documentation!

PYFBAD is a open-source Python package for unsupervised time-series anomaly detection It contains a few models, feature extraction methods, DB methods and visualization tool.

Check out the Usage section for further information, including how to Installation the project.

Contents

• Usage
  • Installation
  • Importing Libraries
  • Data Reading
  • Data Feature Extraction
  • Data Modeling
  • Anomaly Visualization
• Database
  • pyfbad.data.database.MongoDB
  • pyfbad.data.database.SQLDB
  • pyfbad.data.database.CloudDB
  • pyfbad.data.database.File
• Features
  • pyfbad.features.create_feature.Features
• Models
  • pyfbad.models.models.IsolationForestModel
  • pyfbad.models.models.LocalOutlierFactorModel
  • pyfbad.models.models.ProphetModel
  • pyfbad.models.models.GaussianMixtureModel
• Notification
  • pyfbad.notification.notifications.Email
  • pyfbad.notification.notifications.Slack
• Visualization
  • pyfbad.visualizatin.visualizations.Anomaly_Visualization