org.apache.spark.ml.odkl.hyperopt
RandomOptimizer
Related Doc:
package hyperopt
Discretize candidates with specified indices.
Discretize candidates with specified indices.
candidate with values in [0, 1]
Map that specifies the indices of discrete parameters and their numbers of discrete values
candidate with the specified discrete values
Draw candidates from the distributions along each dimension in the space
Draw candidates from the distributions along each dimension in the space
the number of candidates to draw
Searches and returns n points in the space.
Searches and returns n points in the space.
The number of points to find
The found points
Searches and returns n points in the space, given prior observations from past data sets.
Searches and returns n points in the space, given prior observations from past data sets.
The number of points to find
Observations made prior to searching, from past data sets (mean-centered)
The found points
Searches and returns n points in the space, given prior observations from this data set and past data sets.
Searches and returns n points in the space, given prior observations from this data set and past data sets.
The number of points to find
Observations made prior to searching, from this data set (not mean-centered)
Observations made prior to searching, from past data sets (mean-centered)
The found points
Produces the next candidate, given the last.
Produces the next candidate, given the last. In this case, the next candidate is chosen uniformly from the space.
the last candidate
the last observed value
the next candidate
Handler callback for each observation.
Handler callback for each observation. In this case, we do nothing.
the observed point in the space
the observed value
Handler callback for each observation in the prior data.
Handler callback for each observation in the prior data. In this case, we do nothing.
the observed point in the space
the observed value
Initial random sample of parameters to investigate.
Having evaluation for the certain parameters sample next point to evaluate.
Simple sampler from the Sobol points sequence