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…ffer<float>) Adds read/write support for ML.NET vector columns in the Deedle.MicrosoftML integration package: - toDataView: float32 array series → VectorDataViewType(Single, N) columns - ofDataView: VBuffer<float32> columns → float32 array series - ofDataView: VBuffer<float> columns → float array series (handles output of transforms like Concatenate whose inputs are scalar doubles) Adds 5 new tests (22 total): - Schema check for VectorDataViewType - Cursor reading of VBuffer<float32> values - Round-trip float32 array vector column - Mixed scalar + vector frame round-trip - Concatenate transform → float array column (end-to-end pipeline test) Epic: #676 Co-authored-by: Copilot <[email protected]>
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🤖 This PR was created by Repo Assist, continuing work on the Deedle.MicrosoftML integration epic (#676).
Summary
Adds vector column support to
Deedle.MicrosoftML— the key missing piece that enables real ML.NET feature-engineering pipelines (e.g.Concatenate,FastTreeoutput columns).What's included
src/Deedle.MicrosoftML/DataView.fstoDataViewfloat32 arraycolumnVectorDataViewType(Single, N)ofDataViewVBuffer(float32)columnfloat32 arrayseriesofDataViewVBuffer(float)columnfloat arrayseriesThe
VBuffer(float)round-trip handles the common case where scalarfloatinputs are fed through transforms likeConcatenate— ML.NET keeps the Double type in the output vector.tests/Deedle.MicrosoftML.Tests/5 new tests (22 total):
float32 arraycolumn →VectorDataViewType(Single, 3)VBuffer(float32)getter reads correct valuesfloat32 arraycolumn survivestoDataView→ofDataViewConcatenatetransform output readable asfloat arrayUsage
Closes part of #676 (vector column support from the Future Work list)