ClassBalancer implements ClassBalancer More...
Inheritance diagram for Synapse.ML.Stages.ClassBalancer:
Collaboration diagram for Synapse.ML.Stages.ClassBalancer:
Public Member Functions | |
| ClassBalancer () | |
| Creates a ClassBalancer without any parameters. More... | |
| ClassBalancer (string uid) | |
| Creates a ClassBalancer with a UID that is used to give the ClassBalancer a unique ID. More... | |
| ClassBalancer | SetBroadcastJoin (bool value) |
| Sets value for broadcastJoin More... | |
| ClassBalancer | SetInputCol (string value) |
| Sets value for inputCol More... | |
| ClassBalancer | SetOutputCol (string value) |
| Sets value for outputCol More... | |
| bool | GetBroadcastJoin () |
| Gets broadcastJoin value More... | |
| string | GetInputCol () |
| Gets inputCol value More... | |
| string | GetOutputCol () |
| Gets outputCol value More... | |
| override ClassBalancerModel | Fit (DataFrame dataset) |
| Fits a model to the input data. 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< ClassBalancer > | Read () |
| Get the corresponding JavaMLReader instance. More... | |
Static Public Member Functions | |
| static ClassBalancer | Load (string path) |
| Loads the ClassBalancer that was previously saved using Save(string). More... | |
Detailed Description
ClassBalancer implements ClassBalancer
Constructor & Destructor Documentation
◆ ClassBalancer() [1/2]
|
inline |
Creates a ClassBalancer without any parameters.
◆ ClassBalancer() [2/2]
|
inline |
Creates a ClassBalancer with a UID that is used to give the ClassBalancer a unique ID.
- Parameters
-
uid An immutable unique ID for the object and its derivatives.
Member Function Documentation
◆ Fit()
| override ClassBalancerModel Synapse.ML.Stages.ClassBalancer.Fit | ( | DataFrame | dataset | ) |
Fits a model to the input data.
- Parameters
-
dataset The DataFrame to fit the model to.
- Returns
- ClassBalancerModel
◆ GetBroadcastJoin()
| bool Synapse.ML.Stages.ClassBalancer.GetBroadcastJoin | ( | ) |
Gets broadcastJoin value
- Returns
- broadcastJoin: Whether to broadcast the class to weight mapping to the worker
◆ GetInputCol()
| string Synapse.ML.Stages.ClassBalancer.GetInputCol | ( | ) |
Gets inputCol value
- Returns
- inputCol: The name of the input column
◆ GetOutputCol()
| string Synapse.ML.Stages.ClassBalancer.GetOutputCol | ( | ) |
Gets outputCol value
- Returns
- outputCol: The name of the output column
◆ Load()
|
static |
Loads the ClassBalancer that was previously saved using Save(string).
- Parameters
-
path The path the previous ClassBalancer was saved to
- Returns
- New ClassBalancer object, loaded from path.
◆ Read()
| JavaMLReader<ClassBalancer> Synapse.ML.Stages.ClassBalancer.Read | ( | ) |
Get the corresponding JavaMLReader instance.
- Returns
- an JavaMLReader<ClassBalancer> instance for this ML instance.
◆ Save()
| void Synapse.ML.Stages.ClassBalancer.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
◆ SetBroadcastJoin()
| ClassBalancer Synapse.ML.Stages.ClassBalancer.SetBroadcastJoin | ( | bool | value | ) |
Sets value for broadcastJoin
- Parameters
-
value Whether to broadcast the class to weight mapping to the worker
- Returns
- New ClassBalancer object
◆ SetInputCol()
| ClassBalancer Synapse.ML.Stages.ClassBalancer.SetInputCol | ( | string | value | ) |
Sets value for inputCol
- Parameters
-
value The name of the input column
- Returns
- New ClassBalancer object
◆ SetOutputCol()
| ClassBalancer Synapse.ML.Stages.ClassBalancer.SetOutputCol | ( | string | value | ) |
Sets value for outputCol
- Parameters
-
value The name of the output column
- Returns
- New ClassBalancer object
The documentation for this class was generated from the following file:
- synapse/ml/stages/ClassBalancer.cs
