Missing HOW TO load/save datasets in .IDV binary format

[CESARDELATORRE]

We're missing here HOW TO load/save datasets in .IDV binary format.

See customer's issue requesting it:
dotnet/machinelearning#3748

It should also explain when to use the .IDV format, such as when you need maximum performace (compared to .CSV or .TSV), etc.

AB#1596631

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Document Details

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• ID: d52d4fbe-df9c-f410-85b4-786b139e94d3
• Version Independent ID: ce6265fd-1d0b-4d58-c60d-178d512486b4
• Content: Load Data - ML.NET
• Content Source: docs/machine-learning/how-to-guides/load-data-ml-net.md
• Product: dotnet-ml
• GitHub Login: @JRAlexander
• Microsoft Alias: johalex

[natke]

Thank you @CESARDELATORRE. We have added this to the backlog.

[marchy]

The article mentions data can be loaded from databases and JSON/XML.

How exactly is this done? There are no examples or links to any APIs that show this.

Also for the database scenario, is this tied to Entity Framework contexts / object mappings in any way? We already have serialization specified at this level, would be great to be able to re-use these.

[luisquintanilla]

To be worked on as part of AB#1596634.

Thanks for the feedback @marchy. How you consume API's is up to you. As long as you're able to get the object(s) into IEnumerable format, then they can be loaded into an IDataView with the LoadFromEnumerable method.

As far as databases, we're adding documentation on the preview version of the DatabaseLoader.