Designs of experiments¶
Refer to Design of Experiments.
|
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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Fixed experiment. |
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Gauss product experiment. |
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LowDiscrepancy experiment. |
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Tensor product experiment. |
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. |
Integration¶
Create a quadrature rule for numerical integration based on a weighted experiment. |