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probabilistic-data-handling

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Turn missing data into probabilistic estimates.

Data & Analytics#uncertainty#sampling#schemas#probabilistic#missing-data#data-handling
Authordrhayf
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Pattern for intelligent handling of incomplete input data. Instead of returning "Unknown" when data is missing, sample possible values and return probability distributions.

Core Features & Use Cases

  • Schema: ThingProbability with value, probability, sample_count, and confidence fields to represent outcomes and their likelihoods.
  • Optional data-point stability: DataPointStability to track whether a data point is stable across samples.
  • Sampling engine: _calculate_probabilistic that iterates over time or possibilities to build a distribution.
  • Main handler: calculate_something that returns a structured probabilistic result and an accuracy indicator.

Quick Start

Provide input data with missing fields and request probabilistic estimates.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: probabilistic-data-handling
Download link: https://github.com/drhayf/GUTTERS/archive/main.zip#probabilistic-data-handling

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