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Measurement Infrastructure

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Log predictions and outcomes to calibrate models.

Data & Analytics#calibration#asynchronous#market-data#outcomes#storage#prediction-logging
Authortrudumb
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Build the prediction logging and outcome tracking system that all other model improvements depend on. This infrastructure provides the measurement foundation for diagnosing failures, calibrating models, and auditing behavior.

READ THIS SKILL FIRST before any model work.

Core Features & Use Cases

  • Prediction logging at every quote cycle with granularity for conditioning analysis
  • Async outcome recording and reconciliation with predictions
  • Market state snapshots capturing conditions used for calibration
  • Storage and queries for calibration analysis (Parquet-based)
  • Calibration-analysis workflows and signal auditing integrations

Quick Start

Enable the measurement infrastructure by logging a PredictionRecord for each quote cycle and wiring the OutcomeMatcher to populate asynchronous outcomes.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Measurement Infrastructure
Download link: https://github.com/trudumb/hyper_make/archive/main.zip#measurement-infrastructure

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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