monte_carlo_analysis.uncertainty_metrics package¶

Submodules¶

monte_carlo_analysis.uncertainty_metrics.BhattacharyaCoefficentDistributionSimilarity module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-10-01

Project : monte_carlo_analysis

Implement class BhattacharyaCoefficentDistributionSimilarity

class monte_carlo_analysis.uncertainty_metrics.BhattacharyaCoefficentDistributionSimilarity.BhattacharyaCoefficentDistributionSimilarity(nbins=100)[source]¶

Bases: monte_carlo_analysis.uncertainty_metrics.DistributionSimilarityUncertaintyMetric.DistributionSimilarityUncertaintyMetric

Implement BhattacharyaCoefficentDistributionSimilarity

Parameters

nbins – Number of bins of the histogram

get_transformation(nbins: int) → callable[source]¶

Define the transformation applied to the distribution

Parameters

nbins – number of bins in the histogram

Returns

transformation to apply to the distribution

monte_carlo_analysis.uncertainty_metrics.DistributionSimilarityUncertaintyMetric module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-10-01

Project : monte_carlo_analysis

Implement abstract class DistributionSimilarityUncertaintyMetric

class monte_carlo_analysis.uncertainty_metrics.DistributionSimilarityUncertaintyMetric.DistributionSimilarityUncertaintyMetric[source]¶

Bases: monte_carlo_analysis.uncertainty_metrics.UncertaintyMetric.UncertaintyMetric

get_transformation() → callable[source]¶

Define the transformation applied to the distribution

Returns

Transformation to apply to the distribution

monte_carlo_analysis.uncertainty_metrics.EarthMoverDistanceDistributionSimilarity module¶

monte_carlo_analysis.uncertainty_metrics.EntropyMultipleDistributions module¶

monte_carlo_analysis.uncertainty_metrics.EntropySingleDistribution module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-09-30

Project : monte_carlo_analysis

Implement class EntropySingleDistribution

class monte_carlo_analysis.uncertainty_metrics.EntropySingleDistribution.EntropySingleDistribution(nbins=100)[source]¶

Bases: monte_carlo_analysis.uncertainty_metrics.SingleDistributionUncertaintyMetric.SingleDistributionUncertaintyMetric

Implement EntropySingleDistribution

Parameters

nbins – Number of bins of the histogram

get_transformation(nbins) → callable[source]¶

Define the variance transformation applied to the distribution

Returns

Transformation to apply varianceto the distribution

monte_carlo_analysis.uncertainty_metrics.KullbackLeiblerDivergenceDistributionSimilarity module¶

monte_carlo_analysis.uncertainty_metrics.MultipleDistributionsUncertaintyMetric module¶

monte_carlo_analysis.uncertainty_metrics.MutualInformationMultipleDistribution module¶

monte_carlo_analysis.uncertainty_metrics.SingleDistributionUncertaintyMetric module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-09-30

Project : monte_carlo_analysis

Implement class SingleDistributionUncertaintyMetric

class monte_carlo_analysis.uncertainty_metrics.SingleDistributionUncertaintyMetric.SingleDistributionUncertaintyMetric[source]¶

Bases: monte_carlo_analysis.uncertainty_metrics.UncertaintyMetric.UncertaintyMetric

get_transformation() → callable[source]¶

Define the transformation applied to the distribution

Returns

Transformation to apply to the distribution

monte_carlo_analysis.uncertainty_metrics.UncertaintyMetric module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-09-29

Project : monte_carlo_analysis

Implement abstract class UncertaintyMetric

class monte_carlo_analysis.uncertainty_metrics.UncertaintyMetric.UncertaintyMetric[source]¶

Bases: object

abstract class that implement the Uncertainty Metric

Parameters

name – name of the uncertainty metric

monte_carlo_analysis.uncertainty_metrics.VarianceSingleDistribution module¶

Author : Robin Camarasa

Institution : Erasmus Medical Center

Position : PhD student

Contact : r.camarasa@erasmusmc.nl

Date : 2020-09-30

Project : monte_carlo_analysis

Implement class VarianceSingleDistribution

class monte_carlo_analysis.uncertainty_metrics.VarianceSingleDistribution.VarianceSingleDistribution[source]¶

Bases: monte_carlo_analysis.uncertainty_metrics.SingleDistributionUncertaintyMetric.SingleDistributionUncertaintyMetric

get_transformation() → callable[source]¶

Define the variance transformation applied to the distribution

Returns

Transformation to apply varianceto the distribution

Module contents¶