Designs of experiments¶
Refer to Design of Experiments.
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Base class for design of experiments.  | 
Stratified designs of experiments¶
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Base class for stratified experiments.  | 
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Axial design of experiments.  | 
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Factorial design of experiments.  | 
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Composite design of experiments.  | 
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Box design of experiments.  | 
Weighted experiments¶
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Weighted experiment.  | 
Random weighted experiments¶
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Bootstrap experiment.  | 
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LHS experiment.  | 
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MonteCarlo experiment.  | 
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Importance Sampling experiment.  | 
Deterministic weighted experiments¶
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Fejer experiment.  | 
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Fixed experiment.  | 
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Gauss product experiment.  | 
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LowDiscrepancy experiment.  | 
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Tensor product experiment.  | 
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Smolyak experiment.  | 
Sample splitting¶
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Base class to split samples in train/test sets.  | 
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K-fold splitter.  | 
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Leave-one-out splitter.  | 
Low Discrepancy Sequences¶
Refer to Low Discrepancy Sequence.
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Base class to generate low discrepancy sequences.  | 
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Faure sequence.  | 
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Halton sequence.  | 
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Reverse Halton sequence.  | 
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Haselgrove sequence.  | 
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Sobol sequence.  | 
Optimal LHS generation¶
Refer to Optimal LHS design.
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OptimalLHS base class.  | 
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Monte Carlo LHS optimization.  | 
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LHS optimization using simulated annealing.  | 
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Summarize the results of an LHS optimization.  | 
Space Filling¶
Used to define the optimization criterion in OptimalLHSExperiment.
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Space filling computation base class.  | 
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Space filling C2 (centered L2-discrepancy) computation.  | 
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Space filling minimal distance criterion.  | 
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Space filling PhiP.  | 
Temperature Profile¶
Used to control the optimization in SimulatedAnnealingLHS.
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Base class to define a temperature profile.  | 
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Linear temperature profile.  | 
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Geometric temperature profile.  | 
Sequential experiments¶
Approximation algorithm.  | 
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LOLA-Voronoi sequential design algorithm.  | 
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