class GaussianMixtureModel extends Serializable with Saveable
Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1..k with probability w(i); mu(i) and sigma(i) are the respective mean and covariance for each Gaussian distribution i=1..k.
- Annotations
- @Since( "1.3.0" )
- Alphabetic
- By Inheritance
- GaussianMixtureModel
- Saveable
- Serializable
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
GaussianMixtureModel(weights: Array[Double], gaussians: Array[MultivariateGaussian])
- weights
Weights for each Gaussian distribution in the mixture, where weights(i) is the weight for Gaussian i, and weights.sum == 1
- gaussians
Array of MultivariateGaussian where gaussians(i) represents the Multivariate Gaussian (Normal) Distribution for Gaussian i
- Annotations
- @Since( "1.3.0" )
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
formatVersion: String
Current version of model save/load format.
Current version of model save/load format.
- Attributes
- protected
- Definition Classes
- GaussianMixtureModel → Saveable
-
val
gaussians: Array[MultivariateGaussian]
- Annotations
- @Since( "1.3.0" )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
k: Int
Number of gaussians in mixture
Number of gaussians in mixture
- Annotations
- @Since( "1.3.0" )
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
predict(points: JavaRDD[Vector]): JavaRDD[Integer]
Java-friendly version of
predict()Java-friendly version of
predict()- Annotations
- @Since( "1.4.0" )
-
def
predict(point: Vector): Int
Maps given point to its cluster index.
Maps given point to its cluster index.
- Annotations
- @Since( "1.5.0" )
-
def
predict(points: RDD[Vector]): RDD[Int]
Maps given points to their cluster indices.
Maps given points to their cluster indices.
- Annotations
- @Since( "1.3.0" )
-
def
predictSoft(point: Vector): Array[Double]
Given the input vector, return the membership values to all mixture components.
Given the input vector, return the membership values to all mixture components.
- Annotations
- @Since( "1.4.0" )
-
def
predictSoft(points: RDD[Vector]): RDD[Array[Double]]
Given the input vectors, return the membership value of each vector to all mixture components.
Given the input vectors, return the membership value of each vector to all mixture components.
- Annotations
- @Since( "1.3.0" )
-
def
save(sc: SparkContext, path: String): Unit
Save this model to the given path.
Save this model to the given path.
This saves:
- human-readable (JSON) model metadata to path/metadata/
- Parquet formatted data to path/data/
The model may be loaded using
Loader.load.- sc
Spark context used to save model data.
- path
Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.
- Definition Classes
- GaussianMixtureModel → Saveable
- Annotations
- @Since( "1.4.0" )
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
-
val
weights: Array[Double]
- Annotations
- @Since( "1.3.0" )