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Description
Is there a difference between using a single vector to represent multiple columns opposed to having each column be separately defined?
For example, as the documentation shows:
new TextLoader.Column("FeatureVector", DataKind.R4, 0, 9),
Would this be different to something like:
new TextLoaderColumn("FeatureColumn0", DataKind.R4, 0),
...
new TextLoader.Column("FeatureColumn9", DataKind.R4, 9),
Document Details
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- ID: c38e868c-b14c-c2f0-f9b5-18ed478180a1
- Version Independent ID: 0b75761e-cdc9-1591-e8e4-551581e7a41d
- Content: Load data with many columns from a CSV file for machine learning processing - ML.NET
- Content Source: docs/machine-learning/how-to-guides/load-data-from-mult-column-csv-ml-net.md
- Product: dotnet-ml
- GitHub Login: @JRAlexander
- Microsoft Alias: johalex