querying-mlflow-metrics
CommunityQuery MLflow metrics from tracking servers.
AuthorRamVegiraju
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ML teams need to quickly fetch, aggregate, and visualize MLflow trace metrics (trace_count, latency, tokens, assessments) from tracking servers to monitor model performance, cost, and quality over time.
Core Features & Use Cases
- Retrieve aggregation results for traces, spans, and assessments via a single API client.
- Compare token usage, latency, and quality scores across experiments and time ranges.
- Use cases include cost monitoring, performance debugging, and evaluation trend analysis for ML experiments.
Quick Start
Query your MLflow server to fetch aggregated trace metrics for the given experiments and time range.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: querying-mlflow-metrics Download link: https://github.com/RamVegiraju/databricks-samples/archive/main.zip#querying-mlflow-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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