StratifiedRepartition implements StratifiedRepartition More...
Inheritance diagram for Synapse.ML.Stages.StratifiedRepartition:
Collaboration diagram for Synapse.ML.Stages.StratifiedRepartition:
Public Member Functions | |
| StratifiedRepartition () | |
| Creates a StratifiedRepartition without any parameters. More... | |
| StratifiedRepartition (string uid) | |
| Creates a StratifiedRepartition with a UID that is used to give the StratifiedRepartition a unique ID. More... | |
| StratifiedRepartition | SetLabelCol (string value) |
| Sets value for labelCol More... | |
| StratifiedRepartition | SetMode (string value) |
| Sets value for mode More... | |
| StratifiedRepartition | SetSeed (long value) |
| Sets value for seed More... | |
| string | GetLabelCol () |
| Gets labelCol value More... | |
| string | GetMode () |
| Gets mode value More... | |
| long | GetSeed () |
| Gets seed value More... | |
| void | Save (string path) |
| Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala. More... | |
| JavaMLWriter | Write () |
| |
| JavaMLReader< StratifiedRepartition > | Read () |
| Get the corresponding JavaMLReader instance. More... | |
Static Public Member Functions | |
| static StratifiedRepartition | Load (string path) |
| Loads the StratifiedRepartition that was previously saved using Save(string). More... | |
Detailed Description
StratifiedRepartition implements StratifiedRepartition
Constructor & Destructor Documentation
◆ StratifiedRepartition() [1/2]
|
inline |
Creates a StratifiedRepartition without any parameters.
◆ StratifiedRepartition() [2/2]
|
inline |
Creates a StratifiedRepartition with a UID that is used to give the StratifiedRepartition a unique ID.
- Parameters
-
uid An immutable unique ID for the object and its derivatives.
Member Function Documentation
◆ GetLabelCol()
| string Synapse.ML.Stages.StratifiedRepartition.GetLabelCol | ( | ) |
Gets labelCol value
- Returns
- labelCol: The name of the label column
◆ GetMode()
| string Synapse.ML.Stages.StratifiedRepartition.GetMode | ( | ) |
Gets mode value
- Returns
- mode: Specify equal to repartition with replacement across all labels, specify original to keep the ratios in the original dataset, or specify mixed to use a heuristic
◆ GetSeed()
| long Synapse.ML.Stages.StratifiedRepartition.GetSeed | ( | ) |
Gets seed value
- Returns
- seed: random seed
◆ Load()
|
static |
Loads the StratifiedRepartition that was previously saved using Save(string).
- Parameters
-
path The path the previous StratifiedRepartition was saved to
- Returns
- New StratifiedRepartition object, loaded from path.
◆ Read()
| JavaMLReader<StratifiedRepartition> Synapse.ML.Stages.StratifiedRepartition.Read | ( | ) |
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<StratifiedRepartition> instance for this ML instance.
◆ Save()
| void Synapse.ML.Stages.StratifiedRepartition.Save | ( | string | path | ) |
Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala.
- Parameters
-
path The path to save the object to
◆ SetLabelCol()
| StratifiedRepartition Synapse.ML.Stages.StratifiedRepartition.SetLabelCol | ( | string | value | ) |
Sets value for labelCol
- Parameters
-
value The name of the label column
- Returns
- New StratifiedRepartition object
◆ SetMode()
| StratifiedRepartition Synapse.ML.Stages.StratifiedRepartition.SetMode | ( | string | value | ) |
Sets value for mode
- Parameters
-
value Specify equal to repartition with replacement across all labels, specify original to keep the ratios in the original dataset, or specify mixed to use a heuristic
- Returns
- New StratifiedRepartition object
◆ SetSeed()
| StratifiedRepartition Synapse.ML.Stages.StratifiedRepartition.SetSeed | ( | long | value | ) |
The documentation for this class was generated from the following file:
- synapse/ml/stages/StratifiedRepartition.cs
