Changelog

All notable changes will be documented in this section.

• First release 0.1.0
• Release 0.1.5
  • added setup.py based installation
  • fixed final merge issue caused by JVM MRApp metrics causing empty dataframe (issue #12)
  • added anomaly index reset option
  • added explicity heap definition for weka based methods
  • added timestamp to anomaly detection methods
  • added filtering to dataframes
  • fixed issue with logging granularity
  • added support scikit-learn based methods for anomaly detection
• Release 0.1.6
  • added support for MongoDB and Cassandra monitoring
  • added help message
  • added storm topology detection
• Release 0.2.0
  • added one-hot-encoding for categorical data
  • unsupervised methods to main dmonadp
  • added capability so load custom user defined queries
  • performance improvement (switched from threads to processes)
  • added user defined timeout
  • added support for CEP usecase
  • added supervised methods
  • added standalone as well as Yarn and container based support for Spark