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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>
902 B
902 B
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | params | output | tested | tests | test_file_path | file_path | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| min_max_scale | function | py | datascience | 1.0.0 | pure | def min_max_scale(data: list) -> list | Escala los valores al rango [0, 1] usando min-max normalization. |
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false |
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lista de valores escalados al rango [0, 1] usando min-max normalization. Min->0, Max->1, valores intermedios proporcionales. | false | python/functions/datascience/datascience.py |
Ejemplo
min_max_scale([2, 4, 6, 8, 10])
# [0.0, 0.25, 0.5, 0.75, 1.0]
Notas
Si todos los valores son iguales, retorna lista de ceros. No requiere imports externos.