import FormalSLT.PACBayes open MeasureTheory ProbabilityTheory open FormalSLT.AnytimeValid open FormalSLT.PACBayes open FormalSLT.PACBayes.IIDContinuousGaussian #check timeUniformIIDGaussianPACBayes_bound #check exp_iidContinuousScore_eq #check timeUniformIIDGaussianPACBayesUpperFailure_subset_processFailure #check FormalSLT.PACBayes.TimeUniformIID.integrable_subGammaExponentialProcess_of_bounded #check FormalSLT.PACBayes.TimeUniformIID.iIndepFun_indep_comap_natural_of_lt #check shiftedGaussian_kl_closedForm #check shiftedGaussian_penalty_evaluated #check unitSample_iIndep #check unitHalfLoss_endToEnd_certificate #check fairBoolLaw_isProbabilityMeasure #check fairBoolStreamLaw_isProbabilityMeasure #check gaussianThresholdBoolLoss_of_nonneg #check gaussianThresholdBoolLoss_of_neg #check gaussianThresholdBoolLoss_stronglyMeasurable #check gaussianThresholdBoolLoss_range #check fairBoolPopulationRisk_eq_half #check fairBoolCoordinateSample_iIndep #check fairBoolCoordinateSample_hasLaw #check measurableSet_firstNTrueCylinder #check fairBoolStreamLaw_firstNTrueCylinder #check fairBoolStreamLaw_real_firstNTrueCylinder #check fairBoolStreamLaw_real_firstNTrueCylinder_pos #check gaussianThresholdBoolEmpiricalRisk_of_mem_firstNTrueCylinder #check gaussianThresholdBoolEmpiricalRisk_allTrue #check fairBoolGaussianPosteriorPopulationRisk_eq_half #check fairBoolGaussianPosteriorEmpiricalRisk_allTrue_le_quarter #check fairBoolGaussianPosteriorEmpiricalRisk_of_mem_firstHundredTrue_le_quarter #check shiftedGaussian_nonvacuityPenalty_evaluated #check firstHundredTrueCylinder_subset_gaussianPACBayesFailure #check fairBoolGaussianPACBayesFailure_mass_ge_twoPowNegHundred #check fairBoolGaussianPACBayesFailure_mass_pos #check allTrueBoolStream_mem_gaussianPACBayesFailure #check fairBoolThreshold_endToEnd_certificate example : sphericalGaussianKLClosedForm shiftedGaussianPosterior standardGaussianPrior = (1 : ℝ) / 2 := shiftedGaussian_kl_closedForm example : subGammaCgf 1 1 1 / 1 + (sphericalGaussianKLClosedForm shiftedGaussianPosterior standardGaussianPrior + Real.log (1 / Real.exp (-1))) / ((10 : ℝ) * 1) = (9 : ℝ) / 10 := shiftedGaussian_penalty_evaluated #print axioms timeUniformIIDGaussianPACBayes_bound #print axioms exp_iidContinuousScore_eq #print axioms timeUniformIIDGaussianPACBayesUpperFailure_subset_processFailure #print axioms FormalSLT.PACBayes.TimeUniformIID.integrable_subGammaExponentialProcess_of_bounded #print axioms FormalSLT.PACBayes.TimeUniformIID.iIndepFun_indep_comap_natural_of_lt #print axioms shiftedGaussian_penalty_evaluated #print axioms unitSample_iIndep #print axioms unitHalfLoss_endToEnd_certificate #print axioms fairBoolLaw_isProbabilityMeasure #print axioms fairBoolStreamLaw_isProbabilityMeasure #print axioms gaussianThresholdBoolLoss_of_nonneg #print axioms gaussianThresholdBoolLoss_of_neg #print axioms gaussianThresholdBoolLoss_stronglyMeasurable #print axioms gaussianThresholdBoolLoss_range #print axioms fairBoolPopulationRisk_eq_half #print axioms fairBoolCoordinateSample_iIndep #print axioms fairBoolCoordinateSample_hasLaw #print axioms measurableSet_firstNTrueCylinder #print axioms fairBoolStreamLaw_firstNTrueCylinder #print axioms fairBoolStreamLaw_real_firstNTrueCylinder #print axioms fairBoolStreamLaw_real_firstNTrueCylinder_pos #print axioms gaussianThresholdBoolEmpiricalRisk_of_mem_firstNTrueCylinder #print axioms gaussianThresholdBoolEmpiricalRisk_allTrue #print axioms fairBoolGaussianPosteriorPopulationRisk_eq_half #print axioms fairBoolGaussianPosteriorEmpiricalRisk_allTrue_le_quarter #print axioms fairBoolGaussianPosteriorEmpiricalRisk_of_mem_firstHundredTrue_le_quarter #print axioms shiftedGaussian_nonvacuityPenalty_evaluated #print axioms firstHundredTrueCylinder_subset_gaussianPACBayesFailure #print axioms fairBoolGaussianPACBayesFailure_mass_ge_twoPowNegHundred #print axioms fairBoolGaussianPACBayesFailure_mass_pos #print axioms allTrueBoolStream_mem_gaussianPACBayesFailure #print axioms fairBoolThreshold_endToEnd_certificate