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Philosophy

V SS Karthik edited this page Apr 3, 2026 · 1 revision

Philosophy

GlassBoxML is built on a simple idea:

Machine Learning should be transparent, not a black box.

Key principles:

  • Every model should be explainable
  • Users should understand training behavior
  • Diagnostics should reveal weaknesses

GlassBoxML prioritizes:

  • clarity over abstraction
  • understanding over performance hacks

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