Analyze MLflow traces to inspect spans, attributes, and assessments.
npx skills add https://github.com/mlflow/skills --skill analyze-mlflow-trace-mlflow
Please help me install this Agent Skill. Skill: analyze-mlflow-trace Source: https://github.com/mlflow/skills/tree/main/analyze-mlflow-trace Command: npx skills add https://github.com/mlflow/skills --skill analyze-mlflow-trace-mlflow
This Skill allows users to analyze and debug MLflow traces, providing insights into the performance and correctness of AI/ML applications.
Analyze the MLflow trace with the ID 'trace123' by running the command: 'analyze-mlflow-trace trace123'.
High-intent search queries and answers about installing and using this skill.
Debugging MLflow traces involves analyzing span data and attributes to pinpoint exact failure sources. This Skill inspects individual spans and assessment values to identify the root cause of issues in AI/ML applications.
Analyzing MLflow trace spans for performance evaluation requires parsing the trace data to inspect individual spans and their associated attributes. This Skill provides detailed insights into spans to help evaluate AI/ML application performance.
Yes, you need both MLflow and OpenTelemetry to analyze traces with this Skill. These dependencies provide the necessary trace data framework and instrumentation to support detailed span analysis and JSON parsing.
Yes, you can run a quick health check on an MLflow trace by executing a summary command. For example, running 'analyze-mlflow-trace trace123' assesses the health of trace 'trace123' to quickly evaluate its status.
Interpreting assessment values in MLflow traces is done by examining the rationale behind feedback within the trace data. This Skill helps you understand assessment values to ensure the correctness of your AI/ML applications.
MLflow trace analysis may fail to parse span attributes if the trace data lacks proper JSON formatting or if MLflow and OpenTelemetry dependencies are not correctly configured. This Skill supports JSON parsing for detailed span analysis.
JingyiWngAnalyze MLflow trace JSON files to identify errors and performance bottlenecks.
slysikAnalyze MLflow trace JSON to diagnose AI/ML application failures.
Zack2626-okAnalyze and debug MLflow traces to diagnose AI/ML application issues.
LaurentPRAT-DBAnalyze MLflow traces to identify root causes of errors and performance issues.
