IDataView — Complete Guide
IDataView — 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 6 of 100
IDataView
Foundations → Models → NLP & advanced → MLOps
Foundations · 1 — Context & data · ~6 min · Module 1: ML.NET Foundations
What is this?
IDataView is ML.NET’s lazy, schema-aware data view — not a List you mutate in place.
Why should you care?
AIPredict training reads CSV/SQL into IDataView so pipelines stay memory-efficient.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
public class TxRow
{
public float Amount { get; set; }
public bool Label { get; set; }
}
IDataView view = ml.Data.LoadFromEnumerable(rows);What happened?
- Schema comes from attributes or LoadFromTextFile.
- Prefer streaming; materialize only when needed.
Practice next
- Define TxRow.
- LoadFromEnumerable.
- Print schema with view.Schema.
- Add Hour feature property.
- Filter with ml.Data.FilterRowsByColumn.
Remember
Lazy IDataView. Schema matters. Enumerable or file loaders.
AIPredict TxRow view
Fraud rows become IDataView.
Outcome: Pipeline can Fit without giant lists.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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