Prediction Pipelines — Complete Guide
Prediction Pipelines — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 24 of 100
Prediction Pipelines
Foundations ✓ → Models → NLP & advanced → MLOps
Models · 2 — Classify & regress · ~6 min · Module 3: ML.NET Pipelines
What is this?
Prediction uses the fitted ITransformer: CreatePredictionEngine or Transform a batch IDataView.
Why should you care?
AIPredict APIs score one transaction; batch jobs score millions overnight.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
var engine = ml.Model.CreatePredictionEngine<TxRow, FraudPred>(model);
var p = engine.Predict(new TxRow { Amount = 900, Hour = 2 });
Console.WriteLine($"{p.PredictedLabel} p={p.Probability:F2}");What happened?
- Engine is thread-unsafe — use pool in web apps.
- Batch Transform for throughput.
Practice next
- Predict one row.
- Transform a batch file.
- Log probability.
- Batch 10k rows.
- Compare throughput.
Remember
Engine for single. Transform for batch. Pool in ASP.NET.
AIPredict score path
API uses engine; nightly job Transforms.
Outcome: Right tool per volume.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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