tests/testthat/_snaps/model_basics.md

In topepo/parsnip: A Common API to Modeling and Analysis Functions

basic object classes and print methods

Code
  print(bag_mars())
Message
  ! parsnip could not locate an implementation for `bag_mars` model specifications.
  i The parsnip extension package baguette implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Bagged MARS Model Specification (unknown mode)

  Computational engine: earth

Code
  print(bag_tree())
Message
  ! parsnip could not locate an implementation for `bag_tree` model specifications.
  i The parsnip extension packages censored and baguette implement support for this specification.
  i Please install (if needed) and load to continue.
Output
  Bagged Decision Tree Model Specification (unknown mode)

  Main Arguments:
    cost_complexity = 0
    min_n = 2

  Computational engine: rpart

Code
  print(bart())
Output
  BART Model Specification (unknown mode)

  Computational engine: dbarts

Code
  print(boost_tree())
Output
  Boosted Tree Model Specification (unknown mode)

  Computational engine: xgboost

Code
  print(C5_rules())
Message
  ! parsnip could not locate an implementation for `C5_rules` model specifications.
  i The parsnip extension package rules implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  C5.0 Model Specification (classification)

  Computational engine: C5.0

Code
  print(cubist_rules())
Message
  ! parsnip could not locate an implementation for `cubist_rules` model specifications.
  i The parsnip extension package rules implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Cubist Model Specification (regression)

  Computational engine: Cubist

Code
  print(decision_tree())
Output
  Decision Tree Model Specification (unknown mode)

  Computational engine: rpart

Code
  print(discrim_flexible())
Message
  ! parsnip could not locate an implementation for `discrim_flexible` model specifications.
  i The parsnip extension package discrim implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Flexible Discriminant Model Specification (classification)

  Computational engine: earth

Code
  print(discrim_linear())
Message
  ! parsnip could not locate an implementation for `discrim_linear` model specifications.
  i The parsnip extension package discrim implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Linear Discriminant Model Specification (classification)

  Computational engine: MASS

Code
  print(discrim_quad())
Message
  ! parsnip could not locate an implementation for `discrim_quad` model specifications.
  i The parsnip extension package discrim implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Quadratic Discriminant Model Specification (classification)

  Computational engine: MASS

Code
  print(discrim_regularized())
Message
  ! parsnip could not locate an implementation for `discrim_regularized` model specifications.
  i The parsnip extension package discrim implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Regularized Discriminant Model Specification (classification)

  Computational engine: klaR

Code
  print(gen_additive_mod())
Output
  GAM Model Specification (unknown mode)

  Computational engine: mgcv

Code
  print(linear_reg())
Output
  Linear Regression Model Specification (regression)

  Computational engine: lm

Code
  print(logistic_reg())
Output
  Logistic Regression Model Specification (classification)

  Computational engine: glm

Code
  print(mars())
Output
  MARS Model Specification (unknown mode)

  Computational engine: earth

Code
  print(mlp())
Output
  Single Layer Neural Network Model Specification (unknown mode)

  Computational engine: nnet

Code
  print(multinom_reg())
Output
  Multinomial Regression Model Specification (classification)

  Computational engine: nnet

Code
  print(naive_Bayes())
Message
  ! parsnip could not locate an implementation for `naive_Bayes` model specifications.
  i The parsnip extension packages agua and discrim implement support for this specification.
  i Please install (if needed) and load to continue.
Output
  Naive Bayes Model Specification (classification)

  Computational engine: klaR

Code
  print(nearest_neighbor())
Output
  K-Nearest Neighbor Model Specification (unknown mode)

  Computational engine: kknn

Code
  print(null_model())
Output
  Null Model Specification (classification)

  Computational engine: parsnip

Code
  print(pls())
Message
  ! parsnip could not locate an implementation for `pls` model specifications.
  i The parsnip extension package plsmod implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  PLS Model Specification (unknown mode)

  Computational engine: mixOmics

Code
  print(poisson_reg())
Message
  ! parsnip could not locate an implementation for `poisson_reg` model specifications.
  i The parsnip extension packages multilevelmod, poissonreg, and agua implement support for this specification.
  i Please install (if needed) and load to continue.
Output
  Poisson Regression Model Specification (regression)

  Computational engine: glm

Code
  print(proportional_hazards())
Message
  ! parsnip could not locate an implementation for `proportional_hazards` model specifications.
  i The parsnip extension package censored implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Proportional Hazards Model Specification (censored regression)

  Computational engine: survival

Code
  print(rand_forest())
Output
  Random Forest Model Specification (unknown mode)

  Computational engine: ranger

Code
  print(rule_fit())
Message
  ! parsnip could not locate an implementation for `rule_fit` model specifications.
  i The parsnip extension packages agua and rules implement support for this specification.
  i Please install (if needed) and load to continue.
Output
  RuleFit Model Specification (unknown mode)

  Computational engine: xrf

Code
  print(survival_reg())
Message
  ! parsnip could not locate an implementation for `survival_reg` model specifications.
  i The parsnip extension package censored implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Parametric Survival Regression Model Specification (censored regression)

  Computational engine: survival

Code
  print(svm_linear())
Output
  Linear Support Vector Machine Model Specification (unknown mode)

  Computational engine: LiblineaR

Code
  print(svm_poly())
Output
  Polynomial Support Vector Machine Model Specification (unknown mode)

  Computational engine: kernlab

Code
  print(svm_rbf())
Output
  Radial Basis Function Support Vector Machine Model Specification (unknown mode)

  Computational engine: kernlab

topepo/parsnip documentation built on April 16, 2024, 3:23 a.m.