# Databricks Mlflow Evaluation

> <!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->

- Skill: `frank-luongt/databricks-mlflow-evaluation` (Agent Skill, multi-file: 9 files)
- Install (CLI): `npx skillmds@latest add frank-luongt/databricks-mlflow-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/frank-luongt/databricks-mlflow-evaluation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: frank-luongt (https://skillmd.com/u/frank-luongt)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/frank-luongt/databricks-mlflow-evaluation

---

<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: databricks-mlflow-evaluation
tags: [databricks, ml]
---

# MLflow 3 GenAI Evaluation

## Before Writing Any Code

1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures
2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas

## End-to-End Workflows

Follow these workflows based on your goal. Each step indicates which reference files to read.

### Workflow 1: First-Time Evaluation Setup

For users new to MLflow GenAI evaluation or setting up evaluation for a new agent.

| Step | Action                      | Reference Files                                                  |
| ---- | --------------------------- | ---------------------------------------------------------------- |
| 1    | Understand what to evaluate | `user-journeys.md` (Journey 0: Strategy)                         |
| 2    | Learn API patterns          | `GOTCHAS.md` + `CRITICAL-interfaces.md`                          |
| 3    | Build initial dataset       | `patterns-datasets.md` (Patterns 1-4)                            |
| 4    | Choose/create scorers       | `patterns-scorers.md` + `CRITICAL-interfaces.md` (built-in list) |
| 5    | Run evaluation              | `patterns-evaluation.md` (Patterns 1-3)                          |

### Workflow 2: Production Trace -> Evaluation Dataset

For building evaluation datasets from production traces.

| Step | Action                        | Reference Files                                  |
| ---- | ----------------------------- | ------------------------------------------------ |
| 1    | Search and filter traces      | `patterns-trace-analysis.md` (MCP tools section) |
| 2    | Analyze trace quality         | `patterns-trace-analysis.md` (Patterns 1-7)      |
| 3    | Tag traces for inclusion      | `patterns-datasets.md` (Patterns 16-17)          |
| 4    | Build dataset from traces     | `patterns-datasets.md` (Patterns 6-7)            |
| 5    | Add expectations/ground truth | `patterns-datasets.md` (Pattern 2)               |

### Workflow 3: Performance Optimization

For debugging slow or expensive agent execution.

| Step | Action                        | Reference Files                                      |
| ---- | ----------------------------- | ---------------------------------------------------- |
| 1    | Profile latency by span       | `patterns-trace-analysis.md` (Patterns 4-6)          |
| 2    | Analyze token usage           | `patterns-trace-analysis.md` (Pattern 9)             |
| 3    | Detect context issues         | `patterns-context-optimization.md` (Section 5)       |
| 4    | Apply optimizations           | `patterns-context-optimization.md` (Sections 1-4, 6) |
| 5    | Re-evaluate to measure impact | `patterns-evaluation.md` (Pattern 6-7)               |

### Workflow 4: Regression Detection

For comparing agent versions and finding regressions.

| Step | Action                  | Reference Files                                  |
| ---- | ----------------------- | ------------------------------------------------ |
| 1    | Establish baseline      | `patterns-evaluation.md` (Pattern 4: named runs) |
| 2    | Run current version     | `patterns-evaluation.md` (Pattern 1)             |
| 3    | Compare metrics         | `patterns-evaluation.md` (Patterns 6-7)          |
| 4    | Analyze failing traces  | `patterns-trace-analysis.md` (Pattern 7)         |
| 5    | Debug specific failures | `patterns-trace-analysis.md` (Patterns 8-9)      |

### Workflow 5: Custom Scorer Development

For creating project-specific evaluation metrics.

| Step | Action                      | Reference Files                           |
| ---- | --------------------------- | ----------------------------------------- |
| 1    | Understand scorer interface | `CRITICAL-interfaces.md` (Scorer section) |
| 2    | Choose scorer pattern       | `patterns-scorers.md` (Patterns 4-11)     |
| 3    | For multi-agent scorers     | `patterns-scorers.md` (Patterns 13-16)    |
| 4    | Test with evaluation        | `patterns-evaluation.md` (Pattern 1)      |

## Reference Files Quick Lookup

| Reference                          | Purpose                  | When to Read                              |
| ---------------------------------- | ------------------------ | ----------------------------------------- |
| `GOTCHAS.md`                       | Common mistakes          | **Always read first** before writing code |
| `CRITICAL-interfaces.md`           | API signatures, schemas  | When writing any evaluation code          |
| `patterns-evaluation.md`           | Running evals, comparing | When executing evaluations                |
| `patterns-scorers.md`              | Custom scorer creation   | When built-in scorers aren't enough       |
| `patterns-datasets.md`             | Dataset building         | When preparing evaluation data            |
| `patterns-trace-analysis.md`       | Trace debugging          | When analyzing agent behavior             |
| `patterns-context-optimization.md` | Token/latency fixes      | When agent is slow or expensive           |
| `user-journeys.md`                 | High-level workflows     | When starting a new evaluation project    |

## Critical API Facts

- **Use:** `mlflow.genai.evaluate()` (NOT `mlflow.evaluate()`)
- **Data format:** `{"inputs": {"query": "..."}}` (nested structure required)
- **predict_fn:** Receives `**unpacked kwargs` (not a dict)

See `GOTCHAS.md` for complete list.

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