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scio 1.1.1.dev0 documentation

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  • User Guide
  • API References
  • References
  • Citing scio
  • Contributors ✨
  • GitHub
  • PyPI

Section Navigation

API References

  • Recorder
    • Recorder
  • Scores
    • BaseScore
    • Classification
      • BaseScoreClassif
      • TemplateClassif
      • BaselineClassif
      • DeepMahalanobis
      • DkNN
      • Energy
      • FeatureSqueezing
      • GradNorm
      • Gram
      • IsoMax
      • JointEnergy
      • JTLA
      • KNN
      • LID
      • Logit
      • Odds
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      • ReAct
      • RelativeMahalanobis
      • Softmax
      • Trust
  • Visualization & Evaluation
    • Classification
      • ROC
      • BaseDiscriminativePower
      • AUC
      • MCC
      • TNR
      • TPR
      • compute_confidence
      • fit_scores
      • histogram_oods
      • roc_scores
      • summary_plot
      • compute_metrics
      • summary_table
      • topk_evals
      • summary
  • Miscellaneous
    • scio enums
      • EnumWithExplicitSupport
      • AggrName
      • ClassAggr
      • IndexMetric
      • InterpolationKind
      • LabelKind
      • MultinomialTestMode
      • ScoreClassifMode
      • ScoreTimerOperation
      • ZAggr
    • Index utils
      • Index
      • make_indexes
    • Timing utils
      • ScoreTimer
      • ScoreTimerStat
      • format_time
    • Others utils
      • ak_lpe
      • batched_grad
      • dirmult_surprise
      • fgm_direction
      • get_aggregator
      • kldiv
      • knn_label_count
      • multinomial_test
      • normalize_samples
      • torch_quantile
    • JTLA Tests
      • JTLATestMultinomial
  • API References
  • Miscellaneous
  • scio enums
  • MultinomialTestMode

MultinomialTestMode#

class scio.utils.MultinomialTestMode(value)[source]#

Bases: str, EnumWithExplicitSupport

Enum for supported mode in multinomial_test().

Member

Value

Description

DCM

'dcm'

Dirichlet Compound Multinomial. See dirmult_surprise().

MAP

'map'

Maximum A Posteriori with Dirichlet prior.

MLE

'mle'

Maximum Likelihood Estimation.

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