Skip to main content

Local version of MLOps intended for limited capabilities (no DB connection) under network segregation

Project description

scbk_mlops

Local version of MLOps intended for limited capabilities (no DB connection) under network segregation

Features

  • 일반화된 데이터 Ingestion 단계
  • 모형 뿐만 아닌 다양한 분석 과제에 활용 가능한 EDA 모듈
  • Data 전처리 및 Engineering
  • AI/ML 모형 학습
  • AI/ML 모형 평가
  • AI/ML 모형 모니터링

Installation

pip install scbk_mlops

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scbk_mlops-0.3.3.tar.gz (2.9 MB view details)

Uploaded Source

File details

Details for the file scbk_mlops-0.3.3.tar.gz.

File metadata

  • Download URL: scbk_mlops-0.3.3.tar.gz
  • Upload date:
  • Size: 2.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for scbk_mlops-0.3.3.tar.gz
Algorithm Hash digest
SHA256 01941171bfd93265735793612e049d5fb294330d24e2ef42ff2b6a48d58320c2
MD5 f2ea9dded7b9c7dec77cdcaf5147eb9b
BLAKE2b-256 0956552e46e6d5852dc5a1521f9a800456691555f958283b861b8672c14ab901

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page