Frame (Deedle) | Deedle

Frame Type

Namespace: Deedle.MicrosoftML
Assembly: Deedle.MicrosoftML.dll
Base Type: obj

Static helpers that extend the Frame concept with ML.NET conversions. Open Deedle.MicrosoftML to bring these into scope alongside the standard Deedle Frame module. ML.NET IDataView integration

Static members

Static member	Description
`Frame.ofDataView dataView` Full Usage: `Frame.ofDataView dataView` Parameters: dataView : `IDataView` Returns: `Frame<int, string>`	Convert an ML.NET IDataView to a Deedle Frame with integer (0-based) row keys. Column types are mapped as: `Double` → `float` `Single` → `float32` `Int32` → `int` `Int64` → `int64` `Boolean` → `bool` `Text` → `string` `Vector(Single)` → `float32 array` (one array per row) `Vector(Double)` → `float array` (one array per row) Other composite types → `null` dataView : `IDataView` Returns: `Frame<int, string>`
`Frame.toDataView frame` Full Usage: `Frame.toDataView frame` Parameters: frame : `Frame<'R, string>` Returns: `IDataView` Type parameters: 'R (requires equality)	Convert a Deedle Frame to an ML.NET IDataView. Column types are inferred from the stored values: `float` columns → `Double` `string` columns → `Text` (`ReadOnlyMemory<char>`) `bool` columns → `Boolean` `int32` / `int64` / `float32` → their ML.NET equivalents `float32 array` columns → fixed-length `VectorDataViewType(Single)` Missing values become `NaN` for numeric columns and empty string for text. frame : `Frame<'R, string>` Returns: `IDataView`