perfspec-learning/about.md

Table of Contents

• PerfSPEC Learning Phase - ABOUT
• What is done so far ?
• Plans
• In Review

PerfSPEC Learning Phase - ABOUT

Based in PrefSPEC: Performance Profiling-based Proactive Security Policy Enforcement for Containers document presented in [1], this repository contains source files used to generate and process data.

PrefSPEC document

Presentación in Spanish

What is done so far ?

• Good look and feel and interactions among processing, analisys and presentation
• Using better software packages management
• A notebook open lyke Marimo to support alternative dataframes engines like Polars rather than Pandas
• Use settings and structures to play with different settins and options
• Implement a customize LSTM within notebooks
• Use notebooks as python scripts for command-line use cases like collect predictions or automatic train models
• Use Dry to reuse code and centralize common tasks like settings or loading resources. This is main use and existence of lib_perfspec.py
• Spliting basic tasks among seveal specific notebooks:
  • Preprocessing data collection to generate clean and usefull (critical actions) info to train models and ranking prepare_perfspec.py
  • Train models to get predictions train_perfspec.py
  • Get predictions from existing models run_perfspec.py
  • Review and analisys trained models for better results model_perfspec.py

Plans

In Review