object DistributedLDAModel extends Loader[DistributedLDAModel]
Distributed model fitted by LDA. This type of model is currently only produced by Expectation-Maximization (EM).
This model stores the inferred topics, the full training dataset, and the topic distribution for each training document.
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- @Since( "1.5.0" )
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- LDAModel.scala
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load(sc: SparkContext, path: String): DistributedLDAModel
Load a model from the given path.
Load a model from the given path.
The model should have been saved by
Saveable.save.- sc
Spark context used for loading model files.
- path
Path specifying the directory to which the model was saved.
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Model instance
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- DistributedLDAModel → Loader
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def
load(sc: SparkContext, path: String): DistributedLDAModel
Load a model from the given path.
Load a model from the given path.
The model should have been saved by
Saveable.save.- sc
Spark context used for loading model files.
- path
Path specifying the directory to which the model was saved.
- returns
Model instance
- Definition Classes
- DistributedLDAModel → Loader
- Annotations
- @Since( "1.5.0" )
-
final
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ne(arg0: AnyRef): Boolean
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wait(): Unit
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