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mlops's Introduction

mlops

This repo is used to demostrate MLOps best practices leverating ML pipelines, model registries, experiment tracking, monitoring toolkits and CI/CD.

Data

  • Data Set Characteristics: Multivariate
  • Number of Instances: 1567
  • Area: Computer
  • Attribute Characteristics: Real
  • Number of Attributes: 10
  • Date Donated: 2008-11-19
  • Associated Tasks: Classification, Causal-Discovery
  • Missing Values? Yes

Architecture

architecture

ML Pipeline

TBA

Experiment Tracking

TBA

Model Registry

TBA

CI/CD

TBA

mlops's People

Contributors

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Watchers

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