Monty.Frameworks.Models.EvidenceMatching.EvidenceSlopeTracker.HypothesesSelection (ExTbpMonty.Core v0.1.0)

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Which hypotheses a slope threshold keeps, as a mask and as indices.

Mirrors evidence_slope_tracker.py::HypothesesSelection. The mask is the thing that was decided; the two index lists are what a caller acts on, and keeping them here means "retained" and "removed" cannot drift apart.

Summary

Types

t()

Functions

count(hypotheses_selection)

How many hypotheses the selection is about.

ids_to_remove(hypotheses_selection)

The indices of the hypotheses to remove, in order.

ids_to_retain(hypotheses_selection)

The indices of the hypotheses to keep, in order.

new(mask)

A selection from a mask, true meaning the hypothesis is kept.

Types

t()

@type t() ::
  %Monty.Frameworks.Models.EvidenceMatching.EvidenceSlopeTracker.HypothesesSelection{
    mask: [boolean()]
  }

Functions

count(hypotheses_selection)

@spec count(t()) :: non_neg_integer()

How many hypotheses the selection is about.

ids_to_remove(hypotheses_selection)

@spec ids_to_remove(t()) :: [non_neg_integer()]

The indices of the hypotheses to remove, in order.

ids_to_retain(hypotheses_selection)

@spec ids_to_retain(t()) :: [non_neg_integer()]

The indices of the hypotheses to keep, in order.

new(mask)

@spec new([boolean()]) :: t()

A selection from a mask, true meaning the hypothesis is kept.