Module Assign NameStore Str ImportFrom alias ClassDef bases NameLoad body Expr Str Assign NameStore NameLoad Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore Num Assign NameStore NameLoad Assign NameStore NameLoad FunctionDef arguments args NameParam NameParam defaults body Expr Str decorator_list FunctionDef arguments args NameParam defaults body Expr Str decorator_list FunctionDef arguments args NameParam defaults body Expr Str decorator_list decorator_list
N/A N/A __author__ Tom Schaul, tom@idsia.ch pybrain.optimization.optimizer ContinuousOptimizer DistributionBasedOptimizer N/A ContinuousOptimizer N/A N/A  The parent class for all optimization algorithms that are based on
    iteratively updating a search distribution.

    Provides a number of potentially useful methods that could be used by subclasses.  N/A online False N/A batchSize 100 N/A GAUSSIAN 1 N/A CAUCHY 2 N/A GENERALIZEDGAUSSIAN 3 N/A STUDENTT 4 N/A distributionType GAUSSIAN N/A storeAllDistributions False _updateDistribution N/A N/A self dparamDeltas N/A N/A N/A  Update the parameters of the current distribution, directly.  N/A _generateSample N/A N/A self N/A N/A N/A  Generate 1 sample from the current distribution.  N/A _generateConformingBatch N/A N/A self N/A N/A N/A  Generate a batch of samples that conforms to the current distribution.
        If importance mixing is enabled, this can reuse old samples.  N/A N/A