More next item rules refactoring

benchmark/benchmarks.jl

@@ -48,8 +48,11 @@ function prepare_4pls(group)
         tracked_responses = TrackedResponses(BareResponses(ResponseType(item_bank)),
             item_bank,
             NullAbilityTracker())
-        group["$(est_nick)_point_mepv_bare"] = @benchmarkable ($next_item_rule)(
-            $tracked_responses, $item_bank)
+        group["$(est_nick)_point_mepv_bare"] = @benchmarkable best_item(
+            $next_item_rule,
+            $tracked_responses,
+            $item_bank
+        )
         bare_responses = BareResponses(
             ResponseType(item_bank),
             response_idxs,
@@ -60,8 +63,11 @@ function prepare_4pls(group)
             bare_responses,
             item_bank,
             NullAbilityTracker())
-        group["$(est_nick)_point_mepv_10"] = @benchmarkable ($next_item_rule)(
-            $tracked_responses, $item_bank)
+        group["$(est_nick)_point_mepv_10"] = @benchmarkable best_item(
+            $next_item_rule,
+            $tracked_responses,
+            $item_bank
+        )
     end
     return group
 end

src/Sim.jl

@@ -5,7 +5,7 @@ using FittedItemBanks: AbstractItemBank, ResponseType
 using ..Responses
 using ..CatConfig: CatLoopConfig, CatRules
 using ..Aggregators: TrackedResponses, add_response!, Speculator, Aggregators
-using ..NextItemRules: compute_criteria
+using ..NextItemRules: compute_criteria, best_item
 
 export run_cat, prompt_response, auto_responder
 
@@ -56,7 +56,7 @@ function run_cat(cat_config::CatLoopConfig{RulesT},
             "Best items"
         end criteria
         try
-            next_index = next_item(responses, item_bank)
+            next_index = best_item(next_item, responses, item_bank)
         catch exc
             if isa(exc, NextItemError)
                 @warn "Terminating early due to error getting next item" err=sprint(

src/Stateful.jl

@@ -4,7 +4,7 @@ using FittedItemBanks: AbstractItemBank, ResponseType
 using ..Aggregators: TrackedResponses, Aggregators
 using ..CatConfig: CatLoopConfig, CatRules
 using ..Responses: BareResponses, Response
-using ..NextItemRules: compute_criteria
+using ..NextItemRules: compute_criteria, best_item
 
 ## StatefulCat interface
 abstract type StatefulCat end
@@ -73,7 +73,7 @@ function StatefulCatConfig(rules, item_bank)
 end
 
 function next_item(config::StatefulCatConfig)
-    return config.rules.next_item(config.tracked_responses, config.item_bank)
+    return best_item(config.rules.next_item, config.tracked_responses, config.item_bank)
 end
 
 function ranked_items(config::StatefulCatConfig)

src/decision_tree/DecisionTree.jl

@@ -128,7 +128,7 @@ function generate_dt_cat(config::DecisionTreeGenerationConfig, item_bank)
     while true
         track!(responses, config.ability_tracker)
         ability = config.ability_estimator(responses)
-        next_item = config.next_item(responses, item_bank)
+        next_item = best_item(config.next_item, responses, item_bank)
 
         insert!(decision_tree_result, responses.responses, ability, next_item)
         if state_tree.cur_depth == state_tree.max_depth

src/next_item_rules/NextItemRules.jl

@@ -39,17 +39,18 @@ export RandomNextItemRule
 export ExhaustiveSearch
 export catr_next_item_aliases
 export preallocate
-export compute_criteria
+export compute_criteria, compute_criterion, compute_multi_criterion,
+       compute_pointwise_criterion
+export best_item
 export PointResponseExpectation, DistributionResponseExpectation
 export MatrixScalarizer, DeterminantScalarizer, TraceScalarizer
-export AbilityCovarianceStateCriteria, StateCriteria, ItemCriteria
+export AbilityCovarianceStateMultiCriterion, StateMultiCriterion, ItemMultiCriterion
 export InformationMatrixCriteria
 export ScalarizedStateCriteron, ScalarizedItemCriteron
 
 # Prelude
 include("./prelude/abstract.jl")
 include("./prelude/next_item_rule.jl")
-include("./prelude/strategy.jl")
 include("./prelude/criteria.jl")
 include("./prelude/preallocate.jl")
 

src/next_item_rules/combinators/expectation.jl

@@ -96,14 +96,16 @@ function init_thread(::ExpectationBasedItemCriterion, responses::TrackedResponse
 end
 
 function _generic_criterion(criterion::StateCriterion, tracked_responses, item_idx)
-    criterion(tracked_responses)
+    compute_criterion(criterion, tracked_responses)
 end
 # TODO: Support init_thread for wrapped ItemCriterion
 function _generic_criterion(criterion::ItemCriterion, tracked_responses, item_idx)
-    criterion(tracked_responses, item_idx)
+    compute_criterion(criterion, tracked_responses, item_idx)
 end
 
-function (item_criterion::ExpectationBasedItemCriterion)(speculator::Speculator,
+function compute_criterion(
+        item_criterion::ExpectationBasedItemCriterion,
+        speculator::Speculator,
         tracked_responses::TrackedResponses,
         item_idx)
     exp_resp = Aggregators.response_expectation(item_criterion.response_expectation,

src/next_item_rules/combinators/scalarizers.jl

@@ -1,57 +1,58 @@
 struct DeterminantScalarizer <: MatrixScalarizer end
-(::DeterminantScalarizer)(mat) = det(mat)
+scalarize(::DeterminantScalarizer, mat) = det(mat)
 
 struct TraceScalarizer <: MatrixScalarizer end
-(::TraceScalarizer)(mat) = tr(mat)
+scalarize(::TraceScalarizer, mat) = tr(mat)
 
 struct ScalarizedItemCriteron{
-    ItemCriteriaT <: ItemCriteria,
+    ItemMultiCriterionT <: ItemMultiCriterion,
     MatrixScalarizerT <: MatrixScalarizer
 } <: ItemCriterion
-    criteria::ItemCriteriaT
+    criteria::ItemMultiCriterionT
     scalarizer::MatrixScalarizerT
 end
 
-function (ssc::ScalarizedItemCriteron)(tracked_responses, item_idx)
-    res = ssc.criteria(
-        init_thread(ssc.criteria, tracked_responses), tracked_responses, item_idx) |>
-          ssc.scalarizer
-    if !should_minimize(ssc.criteria)
-        res = -res
-    end
-    res
-end
-
 struct ScalarizedStateCriteron{
-    StateCriteriaT <: StateCriteria,
+    StateMultiCriterionT <: StateMultiCriterion,
     MatrixScalarizerT <: MatrixScalarizer
 } <: StateCriterion
-    criteria::StateCriteriaT
+    criteria::StateMultiCriterionT
     scalarizer::MatrixScalarizerT
 end
 
-function (ssc::ScalarizedStateCriteron)(tracked_responses)
-    res = ssc.criteria(tracked_responses) |> ssc.scalarizer
+function compute_criterion(ssc::Union{ScalarizedItemCriteron, ScalarizedStateCriteron},
+        tracked_responses::TrackedResponses, item_idx...)
+    res = scalarize(
+        ssc.scalarizer,
+        compute_multi_criterion(
+            ssc.criteria,
+            init_thread(ssc.criteria, tracked_responses),
+            tracked_responses,
+            item_idx...
+        )
+    )
     if !should_minimize(ssc.criteria)
         res = -res
     end
     res
 end
 
-struct WeightedStateCriteria{InnerT <: StateCriteria} <: StateCriteria
+struct WeightedStateMultiCriterion{InnerT <: StateMultiCriterion} <: StateMultiCriterion
     weights::Vector{Float64}
     criteria::InnerT
 end
 
-function (wsc::WeightedStateCriteria)(tracked_responses, item_idx)
+function compute_multi_criterion(
+        wsc::WeightedStateMultiCriterion, tracked_responses::TrackedResponses, item_idx)
     wsc.weights' * wsc.criteria(tracked_responses, item_idx) * wsc.weights
 end
 
-struct WeightedItemCriteria{InnerT <: ItemCriteria} <: ItemCriteria
+struct WeightedItemMultiCriterion{InnerT <: ItemMultiCriterion} <: ItemMultiCriterion
     weights::Vector{Float64}
     criteria::InnerT
 end
 
-function (wsc::WeightedItemCriteria)(tracked_responses, item_idx)
+function compute_multi_criterion(
+        wsc::WeightedItemMultiCriterion, tracked_responses::TrackedResponses, item_idx)
     wsc.weights' * wsc.criteria(tracked_responses, item_idx) * wsc.weights
 end

src/next_item_rules/criteria/item/information.jl

@@ -9,15 +9,17 @@ function InformationItemCriterion(ability_estimator)
     InformationItemCriterion(ability_estimator, expected_item_information)
 end
 
-function (item_criterion::InformationItemCriterion)(tracked_responses::TrackedResponses,
+function compute_criterion(
+        item_criterion::InformationItemCriterion, tracked_responses::TrackedResponses,
         item_idx)
     ability = maybe_tracked_ability_estimate(tracked_responses,
         item_criterion.ability_estimator)
     ir = ItemResponse(tracked_responses.item_bank, item_idx)
     return -item_criterion.expected_item_information(ir, ability)
 end
 
-struct InformationMatrixCriteria{AbilityEstimatorT <: AbilityEstimator, F} <: ItemCriteria
+struct InformationMatrixCriteria{AbilityEstimatorT <: AbilityEstimator, F} <:
+       ItemMultiCriterion
     ability_estimator::AbilityEstimatorT
     expected_item_information::F
 end
@@ -35,7 +37,8 @@ function init_thread(item_criterion::InformationMatrixCriteria,
     responses_information(responses.item_bank, responses.responses, ability)
 end
 
-function (item_criterion::InformationMatrixCriteria)(acc_info::Matrix{Float64},
+function compute_multi_criterion(
+        item_criterion::InformationMatrixCriteria, acc_info::Matrix{Float64},
         tracked_responses::TrackedResponses,
         item_idx)
     # TODO: Add in information from the prior

src/next_item_rules/criteria/item/urry.jl

@@ -14,7 +14,8 @@ function raw_difficulty(item_bank, item_idx)
     item_params(item_bank, item_idx).difficulty
 end
 
-function (item_criterion::UrryItemCriterion)(tracked_responses::TrackedResponses, item_idx)
+function compute_criterion(
+        item_criterion::UrryItemCriterion, tracked_responses::TrackedResponses, item_idx)
     ability = maybe_tracked_ability_estimate(tracked_responses,
         item_criterion.ability_estimator)
     diff = raw_difficulty(tracked_responses.item_bank, item_idx)

src/next_item_rules/criteria/state/ability_variance.jl

@@ -36,18 +36,20 @@ function AbilityVarianceStateCriterion(bits...)
     return AbilityVarianceStateCriterion(dist_est, integrator, skip_zero)
 end
 
-function (criterion::AbilityVarianceStateCriterion)(tracked_responses::TrackedResponses)::Float64
+function compute_criterion(criterion::AbilityVarianceStateCriterion,
+        tracked_responses::TrackedResponses)::Float64
     # XXX: Not sure if the estimator should come from somewhere else here
     denom = normdenom(criterion.integrator,
         criterion.dist_est,
         tracked_responses)
     if denom == 0.0 && criterion.skip_zero
         return Inf
     end
-    criterion(DomainType(tracked_responses.item_bank), tracked_responses, denom)
+    compute_criterion(
+        criterion, DomainType(tracked_responses.item_bank), tracked_responses, denom)
 end
 
-function (criterion::AbilityVarianceStateCriterion)(
+function compute_criterion(criterion::AbilityVarianceStateCriterion,
         ::Union{OneDimContinuousDomain, DiscreteDomain},
         tracked_responses::TrackedResponses,
         denom)::Float64
@@ -59,9 +61,12 @@ function (criterion::AbilityVarianceStateCriterion)(
     )
 end
 
-function (criterion::AbilityVarianceStateCriterion)(::Vector,
+function compute_criterion(
+        criterion::AbilityVarianceStateCriterion,
+        ::Vector,
         tracked_responses::TrackedResponses,
-        denom)::Float64
+        denom
+)::Float64
     # XXX: Not quite sure about this --- is it useful, the MIRT rules cover this case
     mean = expectation(IntegralCoeffs.id,
         ndims(tracked_responses.item_bank),
@@ -77,25 +82,26 @@ function (criterion::AbilityVarianceStateCriterion)(::Vector,
         denom)
 end
 
-struct AbilityCovarianceStateCriteria{
+struct AbilityCovarianceStateMultiCriterion{
     DistEstT <: DistributionAbilityEstimator,
     IntegratorT <: AbilityIntegrator
-} <: StateCriteria
+} <: StateMultiCriterion
     dist_est::DistEstT
     integrator::IntegratorT
     skip_zero::Bool
 end
 
-function AbilityCovarianceStateCriteria(bits...)
+function AbilityCovarianceStateMultiCriterion(bits...)
     skip_zero = false
     @requiresome (dist_est, integrator) = _get_dist_est_and_integrator(bits...)
-    return AbilityCovarianceStateCriteria(dist_est, integrator, skip_zero)
+    return AbilityCovarianceStateMultiCriterion(dist_est, integrator, skip_zero)
 end
 
 # XXX: Should be at type level
-should_minimize(::AbilityCovarianceStateCriteria) = true
+should_minimize(::AbilityCovarianceStateMultiCriterion) = true
 
-function (criteria::AbilityCovarianceStateCriteria)(
+function compute_multi_criterion(
+        criteria::AbilityCovarianceStateMultiCriterion,
         tracked_responses::TrackedResponses,
         denom = normdenom(criteria.integrator,
             criteria.dist_est,

src/next_item_rules/prelude/abstract.jl

@@ -4,22 +4,32 @@ $(TYPEDEF)
 
 Abstract base type for all item selection rules. All descendants of this type
 are expected to implement the interface
-`(rule::NextItemRule)(responses::TrackedResponses, items::AbstractItemBank)::Int`
+`(::NextItemRule)(responses::TrackedResponses, items::AbstractItemBank)::Int`.
+
+In practice, all adaptive rules in this package use `ItemStrategyNextItemRule`.
 
     $(FUNCTIONNAME)(bits...; ability_estimator=nothing, parallel=true)
 
 Implicit constructor for $(FUNCTIONNAME). Uses any given `NextItemRule` or
-delegates to `ItemStrategyNextItemRule`.
+delegates to `ItemStrategyNextItemRule` the default instance.
 """
 abstract type NextItemRule <: CatConfigBase end
 
 """
 $(TYPEDEF)
+
+Abstract type for next item strategies, tightly coupled with `ItemStrategyNextItemRule`.
+All descendants of this type are expected to implement the interface
+`(rule::ItemStrategyNextItemRule{::NextItemStrategy, ::ItemCriterion})(responses::TrackedResponses,
+        items) where {ItemCriterionT <: }
+`(strategy::NextItemStrategy)(; parallel=true)::NextItemStrategy`
 """
 abstract type NextItemStrategy <: CatConfigBase end
 
 """
 $(TYPEDEF)
+
+Abstract type for next item criteria
 """
 abstract type ItemCriterion <: CatConfigBase end
 
@@ -28,6 +38,13 @@ $(TYPEDEF)
 """
 abstract type StateCriterion <: CatConfigBase end
 
+"""
+$(TYPEDEF)
+"""
+abstract type PointwiseItemCriterion <: CatConfigBase end
+
+abstract type PurePointwiseItemCriterion <: PointwiseItemCriterion end
+
 abstract type MatrixScalarizer end
-abstract type StateCriteria end
-abstract type ItemCriteria end
+abstract type StateMultiCriterion end
+abstract type ItemMultiCriterion end