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- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
28 lines
861 B
Markdown
28 lines
861 B
Markdown
---
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name: detect_outliers
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kind: function
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lang: go
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domain: datascience
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version: "1.0.0"
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purity: pure
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signature: "func DetectOutliers(data []float64, threshold float64) []bool"
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description: "Detecta outliers en un slice de float64 usando z-score. Devuelve true para valores cuyo |z-score| supera el umbral."
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tags: [datascience, statistics, outlier, anomaly, pendiente-usar]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: ["math"]
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params:
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- name: data
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desc: "slice de valores numéricos a analizar"
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- name: threshold
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desc: "umbral de z-score para considerar un valor outlier (ej: 2.0 para 2 desviaciones estándar)"
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output: "slice de booleanos del mismo tamaño que data, true si el elemento es outlier"
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tested: false
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tests: []
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test_file_path: ""
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file_path: "functions/datascience/detect_outliers.go"
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---
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