Taweret package

Subpackages

• Taweret.core namespace
  • Submodules
    • BaseMixer
      • BaseMixer.evaluate()
      • BaseMixer.evaluate_weights()
      • BaseMixer.map
      • BaseMixer.posterior
      • BaseMixer.predict()
      • BaseMixer.predict_weights()
      • BaseMixer.prior
      • BaseMixer.prior_predict()
      • BaseMixer.set_prior()
      • BaseMixer.train()
    • BaseModel
      • BaseModel.evaluate()
      • BaseModel.log_likelihood_elementwise()
      • BaseModel.set_prior()
• Taweret.mix namespace
  • Submodules
    • BivariateLinear
      • BivariateLinear.evaluate()
      • BivariateLinear.evaluate_weights()
      • BivariateLinear.map
      • BivariateLinear.mix_loglikelihood()
      • BivariateLinear.posterior
      • BivariateLinear.predict()
      • BivariateLinear.predict_weights()
      • BivariateLinear.prior
      • BivariateLinear.prior_predict()
      • BivariateLinear.set_prior()
      • BivariateLinear.train()
    • Multivariate
      • Multivariate.evaluate()
      • Multivariate.evaluate_weights()
      • Multivariate.map
      • Multivariate.posterior
      • Multivariate.predict()
      • Multivariate.predict_weights()
      • Multivariate.prior
      • Multivariate.prior_predict()
      • Multivariate.sample_prior()
      • Multivariate.set_prior()
      • Multivariate.train()
    • Trees
      • Trees.evaluate()
      • Trees.evaluate_weights()
      • Trees.map
      • Trees.posterior
      • Trees.predict()
      • Trees.predict_weights()
      • Trees.prior
      • Trees.prior_predict()
      • Trees.set_prior()
      • Trees.train()
• Taweret.models namespace
  • Submodules
    • coleman_model_1
      • coleman_model_1.evaluate()
      • coleman_model_1.log_likelihood_elementwise()
      • coleman_model_1.prior
      • coleman_model_1.set_prior()
    • coleman_model_2
      • coleman_model_2.evaluate()
      • coleman_model_2.log_likelihood_elementwise()
      • coleman_model_2.prior
      • coleman_model_2.set_prior()
    • coleman_truth
      • coleman_truth.evaluate()
      • coleman_truth.log_likelihood_elementwise()
      • coleman_truth.set_prior()
    • cos_exp
      • cos_exp.evaluate()
      • cos_exp.log_likelihood_elementwise()
      • cos_exp.set_prior()
    • polynomal_model
      • polynomal_model.evaluate()
      • polynomal_model.log_likelihood_elementwise()
      • polynomal_model.set_prior()
    • sin_cos_exp
      • sin_cos_exp.evaluate()
      • sin_cos_exp.log_likelihood_elementwise()
      • sin_cos_exp.set_prior()
    • sin_exp
      • sin_exp.evaluate()
      • sin_exp.log_likelihood_elementwise()
      • sin_exp.set_prior()
    • Data
      • Data.evaluate()
      • Data.log_likelihood_elementwise()
      • Data.set_prior()
    • Highorder
      • Highorder.evaluate()
      • Highorder.log_likelihood_elementwise()
      • Highorder.set_prior()
    • Loworder
      • Loworder.evaluate()
      • Loworder.log_likelihood_elementwise()
      • Loworder.set_prior()
    • TrueModel
      • TrueModel.evaluate()
      • TrueModel.log_likelihood_elementwise()
      • TrueModel.set_prior()
• Taweret.sampler namespace
  • Submodules
    • likelihood_wrapper_for_bilby
      • likelihood_wrapper_for_bilby.log_likelihood()
• Taweret.utils namespace
  • Submodules
    • mixture_function()
    • normal_likelihood_elementwise()
    • normal_log_likelihood_elementwise()
    • normed_mvn_loglike()
    • switchcos()

Module contents