DataModel
Namespace: FSharpML
Nested types and modules
| Type | Description |
| DataModel<'info> | |
| TrainTestSplitInfo |
Metadata info for a traintestsplit |
Functions and values
| Function or value | Description |
appendFilterByColumn(...)
Signature: columnName:string -> lower:float -> upper:float -> dataModel:DataModel<'?20821> -> DataModel<'?20821>
Type parameters: '?20821 |
Keeps only those rows that are between lower and upper range condition |
createDataModel context dataview
Signature: context:(type) -> dataview:(type) -> DataModel<'?20789>
Type parameters: '?20789 |
Creates a data model record (use createDataModelWith to include metadata information) |
createDataModelWith(...)
Signature: mlc:(type) -> dataview:(type) -> metaData:'?20791 -> DataModel<'?20791>
Type parameters: '?20791 |
Creates a data model record with metadata information |
createTrainTestSplitInfo(...)
Signature: splitFraction:float -> stratificationColumn:string option -> TrainTestSplitInfo
|
|
fromBinaryStream mlc stream
Signature: mlc:(type) -> stream:(type) -> DataModel<obj>
Type parameters: 'Trow |
Reads a data model from a binary file |
fromBinaryStreamWith(...)
Signature: mlc:(type) -> separatorChar:char -> hasHeader:bool -> stream:string -> DataModel<obj>
Type parameters: 'Trow |
Reads a data model from a binary file |
fromTextFile mlc path
Signature: mlc:(type) -> path:string -> DataModel<obj>
Type parameters: 'Trow |
Reads a data model from a text file |
fromTextFileWith(...)
Signature: mlc:(type) -> separatorChar:char -> hasHeader:bool -> path:string -> DataModel<obj>
Type parameters: 'Trow |
Reads a data model from a text file |
getColumn columnName dataModel
Signature: columnName:string -> dataModel:DataModel<obj> -> IEnumerable<'a>
Type parameters: 'a |
Returns all values of a column |
getContext(dataModel)
Signature: dataModel:DataModel<'?20809> -> (type)
Type parameters: '?20809 |
Returns the MLcontext |
ofDataview mlc dataview
Signature: mlc:(type) -> dataview:(type) -> DataModel<obj>
Type parameters: 'info |
Creates a data model from a given data view |
ofSeq mlc data
Signature: mlc:(type) -> data:seq<'Trow> -> DataModel<'?20796>
Type parameters: 'Trow, '?20796 |
Creates a data model from seq<'Trow> |
saveAsBinary stream dataModel
Signature: stream:Stream -> dataModel:DataModel<'?20817> -> unit
Type parameters: '?20817 |
Saves data view to binary file |
saveAsText(...)
Signature: separatorChar:char -> hasHeader:bool -> stream:Stream -> dataModel:DataModel<'?20815> -> unit
Type parameters: '?20815 |
Saves data view to text file |
toDataview(dataModel)
Signature: dataModel:DataModel<'?20811> -> (type)
Type parameters: '?20811 |
Returns the data view |
toSeq(dataModel)
Signature: dataModel:DataModel<'a> -> IEnumerable<'TRow>
Type parameters: 'a, 'TRow |
|
trainTestSplit testfraction dataModel
Signature: testfraction:float -> dataModel:DataModel<'?20838> -> DataModel<TrainTestSplitInfo> * DataModel<TrainTestSplitInfo>
Type parameters: '?20838 |
Splits a dataset into the train set and the test set according to the given fraction. |
trainTestSplitWith(...)
Signature: testfraction:float -> stratification:string -> seed:int -> dataModel:DataModel<'?20834> -> DataModel<TrainTestSplitInfo> * DataModel<TrainTestSplitInfo>
Type parameters: '?20834 |
Splits a dataset into the train set and the test set according to the given fraction. Respects the StratificationColumn if provided. |
trainTestSplitWithStrat(...)
Signature: testfraction:float -> stratification:string -> dataModel:DataModel<'?20836> -> DataModel<TrainTestSplitInfo> * DataModel<TrainTestSplitInfo>
Type parameters: '?20836 |
Splits a dataset into the train set and the test set according to the given fraction. Respects the StratificationColumn if provided. |
tryGetMetadata(dataModel)
Signature: dataModel:DataModel<'?20813> -> '?20813 option
Type parameters: '?20813 |
Try to return meta data else None |
