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bayesvalidrox 1.0.0 documentation
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  • TUTORIAL
  • EXAMPLES
    • Analytical function
    • Beam
    • Borehole
    • Ishigami
    • Model comparison
    • OHagan-function
    • Pollution
  • PACKAGE DESCRIPTION
    • Priors, input space and experimental design
    • Training surrogate models
    • Postprocessing, Bayesian inference and Bayesian model comparison
  • API
    • bayesvalidrox
      • bayesvalidrox.bayes_inference
        • bayesvalidrox.bayes_inference.bayes_inference
          • bayesvalidrox.bayes_inference.bayes_inference.BayesInference
        • bayesvalidrox.bayes_inference.bayes_model_comparison
          • bayesvalidrox.bayes_inference.bayes_model_comparison.BayesModelComparison
        • bayesvalidrox.bayes_inference.discrepancy
          • bayesvalidrox.bayes_inference.discrepancy.Discrepancy
        • bayesvalidrox.bayes_inference.mcmc
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          • bayesvalidrox.bayes_inference.mcmc.MCMC
      • bayesvalidrox.post_processing
        • bayesvalidrox.post_processing.post_processing
          • bayesvalidrox.post_processing.post_processing.PostProcessing
      • bayesvalidrox.pylink
        • bayesvalidrox.pylink.pylink
          • bayesvalidrox.pylink.pylink.within_range
          • bayesvalidrox.pylink.pylink.PyLinkForwardModel
      • bayesvalidrox.surrogate_models
        • bayesvalidrox.surrogate_models.adaptPlot
          • bayesvalidrox.surrogate_models.adaptPlot.adaptPlot
        • bayesvalidrox.surrogate_models.apoly_construction
          • bayesvalidrox.surrogate_models.apoly_construction.apoly_construction
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          • bayesvalidrox.surrogate_models.bayes_linear.BayesianLinearRegression
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          • bayesvalidrox.surrogate_models.bayes_linear.VBLinearRegression
        • bayesvalidrox.surrogate_models.engine
          • bayesvalidrox.surrogate_models.engine.hellinger_distance
          • bayesvalidrox.surrogate_models.engine.logpdf
          • bayesvalidrox.surrogate_models.engine.subdomain
          • bayesvalidrox.surrogate_models.engine.Engine
        • bayesvalidrox.surrogate_models.eval_rec_rule
          • bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule
          • bayesvalidrox.surrogate_models.eval_rec_rule.eval_rec_rule_arbitrary
          • bayesvalidrox.surrogate_models.eval_rec_rule.eval_univ_basis
          • bayesvalidrox.surrogate_models.eval_rec_rule.poly_rec_coeffs
        • bayesvalidrox.surrogate_models.exp_designs
          • bayesvalidrox.surrogate_models.exp_designs.check_ranges
          • bayesvalidrox.surrogate_models.exp_designs.ExpDesigns
        • bayesvalidrox.surrogate_models.exploration
          • bayesvalidrox.surrogate_models.exploration.Exploration
        • bayesvalidrox.surrogate_models.glexindex
          • bayesvalidrox.surrogate_models.glexindex.cross_truncate
          • bayesvalidrox.surrogate_models.glexindex.glexindex
        • bayesvalidrox.surrogate_models.input_space
          • bayesvalidrox.surrogate_models.input_space.InputSpace
        • bayesvalidrox.surrogate_models.inputs
          • bayesvalidrox.surrogate_models.inputs.Input
          • bayesvalidrox.surrogate_models.inputs.Marginal
        • bayesvalidrox.surrogate_models.orthogonal_matching_pursuit
          • bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.corr
          • bayesvalidrox.surrogate_models.orthogonal_matching_pursuit.OrthogonalMatchingPursuit
        • bayesvalidrox.surrogate_models.reg_fast_ard
          • bayesvalidrox.surrogate_models.reg_fast_ard.update_precisions
          • bayesvalidrox.surrogate_models.reg_fast_ard.RegressionFastARD
        • bayesvalidrox.surrogate_models.reg_fast_laplace
          • bayesvalidrox.surrogate_models.reg_fast_laplace.RegressionFastLaplace
        • bayesvalidrox.surrogate_models.surrogate_models
          • bayesvalidrox.surrogate_models.surrogate_models.corr_loocv_error
          • bayesvalidrox.surrogate_models.surrogate_models.create_psi
          • bayesvalidrox.surrogate_models.surrogate_models.gaussian_process_emulator
          • bayesvalidrox.surrogate_models.surrogate_models.MetaModel
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bayesvalidrox.pylink.pylink.within_range¶

bayesvalidrox.pylink.pylink.within_range(out, minout, maxout)¶

Checks if all the values in out lie between minout and maxout

Parameters¶

outarray or list

Data to check against range

minoutint

Lower bound of the range

maxoutint

Upper bound of the range

Returns¶

insidebool

True if all values in out are in the specified range

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  • bayesvalidrox.pylink.pylink.within_range
    • within_range()