Learn Before
Purpose of Reviewing Each Stage in a Workflow
Question: What is the main goal of examining the output from each step of a machine learning workflow during informal error analysis?
Sample answer: The goal is to find which step introduced the problem. By checking each stage in order, you can identify the component that first produced an incorrect result.
Key points:
- Find the step that introduced the problem.
- Identify the first component responsible for the error.
Rubric: Give full credit if the answer says the purpose is to determine which stage or component made the mistake.
0
1
Tags
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
How can a team informally track down which stage of a multi-step pipeline is causing an error?
Informal Error Attribution Is Always Insufficient
Informal Pipeline Error Diagnosis
Ways to Attribute Pipeline Errors
Order the steps for tracing an error through a pipeline
A More Systematic Error Analysis
Stage-by-Stage Error Checking
Inspecting Outputs of Each _____
Key Ideas in Pipeline Error Attribution
Order of Steps for Quick Pipeline Diagnosis
Explaining Informal Error Attribution in a Pipeline
Finding the Fault in a Two-Stage Text Pipeline
Purpose of Reviewing Each Stage in a Workflow