analyzing-mlflow-session
CommunityDebug chat conversations with MLflow.
AuthorAradhya0510
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you debug and understand multi-turn chat conversations or user interactions by analyzing sequences of traces within an MLflow session.
Core Features & Use Cases
- Session Reconstruction: Reconstructs conversations by extracting user inputs and system outputs from linked traces.
- Root Cause Analysis: Identifies where issues originated in a chat flow, even if reported in a later turn.
- Assessment Review: Analyzes quality judgments and rationales attached to conversation turns.
- Use Case: A user reports an incorrect answer on turn 5 of a chat. This Skill can help trace back to turn 3, where an outdated document was retrieved, causing the subsequent incorrect responses.
Quick Start
Analyze the MLflow session with ID 'sess_abc123' in experiment 'exp_456'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: analyzing-mlflow-session Download link: https://github.com/Aradhya0510/databricks-cv-accelerator/archive/main.zip#analyzing-mlflow-session Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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