Anomaly Detection Pipeline
Score multivariate observations for anomalies and export flagged records for review. This R project practices R fundamentals, practical problem decomposition, validation, and maintainable implementation.
- Estimate
- ~10h
- Steps
- 5
- Completed by
- 0
- Proposed by
- codeseed.app
tidyverse · Shiny · tidymodels
Project roadmap
- 01
Design the architecture
~1.5hDefine components, data contracts, persistence boundaries, invariants, failure modes, and concurrency needs for Anomaly Detection Pipeline.
- 02
Implement the critical path
~2.5hBuild the primary Anomaly Detection Pipeline workflow with explicit invariants, validation, and controlled state transitions.
- 03
Add durability and recovery
~2hImplement durable state, checkpoints, retries, or recovery behavior appropriate to Anomaly Detection Pipeline's failure model.
- 04
Control concurrency and limits
~2hAdd ordering, backpressure, rate limits, bounded concurrency, or conflict handling required by Anomaly Detection Pipeline.
- 05
Add observability and tests
~2hAdd structured diagnostics and test normal operation, failures, restart behavior, and important invariants for Anomaly Detection Pipeline.
Resources
- DocsR Documentation
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Tech stack