tno.quantum.ml.classifiers.vc Logo
2.0.2

Contents:

  • vc package
    • vc.models module
    • vc.optimizers module
    • vc.variational_classifier module
tno.quantum.ml.classifiers.vc
  • Index

Index

_ | E | F | G | M | P | Q | V

_

  • __init__() (vc.models.ExpectedValuesModel method)
    • (vc.models.ModelError method)
    • (vc.models.ProbabilitiesModel method)
    • (vc.models.QModel method)
    • (vc.variational_classifier.VariationalClassifier method)
    • (vc.VariationalClassifier method)

E

  • ExpectedValuesModel (class in vc.models)

F

  • fit() (vc.variational_classifier.VariationalClassifier method)
    • (vc.VariationalClassifier method)

G

  • get_default_if_none() (in module vc.variational_classifier)
  • get_init_weights() (vc.models.ExpectedValuesModel method)
    • (vc.models.ProbabilitiesModel method)
    • (vc.models.QModel method)
  • get_model() (in module vc.models)
  • get_optimizer() (in module vc.optimizers)
  • get_qfunc() (vc.models.ExpectedValuesModel method)
    • (vc.models.ProbabilitiesModel method)
    • (vc.models.QModel method)

M

  • ModelError
  • module
    • vc
    • vc.models
    • vc.optimizers
    • vc.variational_classifier
  • ModuloModel (class in vc.models)

P

  • ParityModel (class in vc.models)
  • predict() (vc.variational_classifier.VariationalClassifier method)
    • (vc.VariationalClassifier method)
  • preprocess() (vc.models.ExpectedValuesModel method)
    • (vc.models.ProbabilitiesModel method)
    • (vc.models.QModel method)
  • ProbabilitiesModel (class in vc.models)

Q

  • QModel (class in vc.models)

V

  • VariationalClassifier (class in vc)
    • (class in vc.variational_classifier)
  • vc
    • module
  • vc.models
    • module
  • vc.optimizers
    • module
  • vc.variational_classifier
    • module

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