leaspy.models.utils package

Subpackages

• leaspy.models.utils.attributes package
  • Submodules
    • leaspy.models.utils.attributes.attributes_factory module
      • AttributesFactory
    • leaspy.models.utils.attributes.abstract_attributes module
      • AbstractAttributes
    • leaspy.models.utils.attributes.abstract_manifold_model_attributes module
      • AbstractManifoldModelAttributes
    • leaspy.models.utils.attributes.linear_attributes module
      • LinearAttributes
    • leaspy.models.utils.attributes.logistic_attributes module
      • LogisticAttributes
    • leaspy.models.utils.attributes.logistic_parallel_attributes module
      • LogisticParallelAttributes
  • Module contents
• leaspy.models.utils.initialization package
  • Submodules
    • leaspy.models.utils.initialization.model_initialization module
      • compute_linregress_subjects()
      • compute_patient_slopes_distribution()
      • compute_patient_time_distribution()
      • compute_patient_values_distribution()
      • get_lme_results()
      • get_log_velocities()
      • initialize_deltas_ordinal()
      • initialize_linear()
      • initialize_logistic()
      • initialize_logistic_parallel()
      • initialize_parameters()
      • linregress_against_time()
      • lme_init()
  • Module contents

Submodules

• leaspy.models.utils.noise_struct module
  • MultinomialDistribution
    • MultinomialDistribution.arg_constraints
    • MultinomialDistribution.batch_shape
    • MultinomialDistribution.cdf()
    • MultinomialDistribution.entropy()
    • MultinomialDistribution.enumerate_support()
    • MultinomialDistribution.event_shape
    • MultinomialDistribution.expand()
    • MultinomialDistribution.from_pdf()
    • MultinomialDistribution.has_enumerate_support
    • MultinomialDistribution.has_rsample
    • MultinomialDistribution.icdf()
    • MultinomialDistribution.log_prob()
    • MultinomialDistribution.mean
    • MultinomialDistribution.perplexity()
    • MultinomialDistribution.rsample()
    • MultinomialDistribution.sample()
    • MultinomialDistribution.sample_n()
    • MultinomialDistribution.set_default_validate_args()
    • MultinomialDistribution.stddev
    • MultinomialDistribution.support
    • MultinomialDistribution.validate_args
    • MultinomialDistribution.variance
  • NoiseStruct
    • NoiseStruct.contextual_dist_kws_validators
    • NoiseStruct.dist_kws_to_model_kws
    • NoiseStruct.dist_kws_validators
    • NoiseStruct.distribution_factory
    • NoiseStruct.model_kws_to_dist_kws
    • NoiseStruct.validate_dist_kws()
    • NoiseStruct.with_contextual_validators()
  • check_scale_is_compat_with_model_dimension()
  • check_scale_is_positive()
  • check_scale_is_univariate()
  • convert_input_to_1D_float_tensors()
  • validate_dimension_of_scale_factory()
• leaspy.models.utils.noise_model module
  • NoiseModel
    • NoiseModel.OLD_MAPPING_FROM_LOSS
    • NoiseModel.VALID_NOISE_STRUCTS
    • NoiseModel.check_compat_with_model()
    • NoiseModel.from_model()
    • NoiseModel.get_named_noise_struct()
    • NoiseModel.rmse_model()
    • NoiseModel.rv_around()
    • NoiseModel.sample_around()
    • NoiseModel.sampler_around()
    • NoiseModel.scale
    • NoiseModel.set_noise_model_from_hyperparameters()
  • constant_return_factory()

Module contents