Inference Dataset for Machine Learning Operations Associate Course

**Overview**
These datasets were specifically created for the Machine Learning Operations Associate course. They are designed to support exercises related to endpoint simulation, model inference, and logging operations in MLOps.

This dataset collection is intended for educational purposes only and does not carry any formal licensing requirements. Each file serves a unique purpose within the course, aimed at providing hands-on experience with model deployment and inference logging.

**File Descriptions**
* inference.csv: Collected after creating a model-serving endpoint, this dataset contains raw inference data for demonstration within the MLOps course.
* inference_table.csv: This structured inference table, gathered post-endpoint creation, replicates production-like logged predictions and metadata, solely for demonstration purposes in the MLOps course.
* lab_inference_df.csv: Used exclusively in lab exercises, this dataset includes raw inference data collected after endpoint creation, providing hands-on experience with endpoint building, testing, and inference logging.

**Purpose and Use**
These datasets are collected after creating a model-serving endpoint and enabling the inference table. They are designed to reflect the types of data an MLOps engineer might encounter and manage in real-world scenarios, offering learners practical skills in monitoring and managing deployed models.
Note: This dataset collection is provided exclusively for instructional use in the Machine Learning Operations Associate course. It should not be used outside this context or redistributed, as it is intended solely for educational purposes within this course. No license is associated with this specific educational dataset.

搜集汇总

背景与挑战

背景概述

该数据集包含inference.csv、inference_table.csv和lab_inference_df.csv三个文件，专为机器学习运维课程设计，用于模拟生产环境中的模型推理与日志管理实践。所有数据仅限教学使用，无正式许可要求。