Index

A

accuracy (cleands.base.classification_model property) add_intercept() (in module cleands.utils)

adjusted_r_squared (cleands.base.prediction_model property) aic (cleands.base.likelihood_model property) (cleands.base.prediction_likelihood_model property)

B

backward_stepwise() (in module cleands.Prediction.glm) bagging_least_squares_regressor (class in cleands.Prediction.ensemble) bagging_logistic_classifier (class in cleands.Classification.ensemble) bagging_logistic_regressor (class in cleands.Prediction.ensemble) bagging_recursive_partitioning_classifier (class in cleands.Classification.ensemble) bagging_recursive_partitioning_regressor (class in cleands.Prediction.ensemble) BaggingLogisticClassifier (class in cleands.Classification.ensemble) BaggingLogisticRegressor (class in cleands.Prediction.ensemble) BaggingRecursivePartitioningClassifier (class in cleands.Classification.ensemble)

BaggingRecursivePartitioningRegressor (class in cleands.Prediction.ensemble) ben_akiva_lerman_r_squared (cleands.Prediction.glm.logistic_regressor property) bic (cleands.base.likelihood_model property) (cleands.base.prediction_likelihood_model property) bin() (in module cleands.formula) bind() (in module cleands.formula) (in module cleands.utils) bootstrap() (in module cleands.utils) bootstrap_model (class in cleands.Prediction.ensemble) broom_model (class in cleands.base)

C

C() (in module cleands.utils) canonical_correlation_analysis (class in cleands.DimensionReduction.pca) cdf() (cleands.base.distribution_model method) (cleands.base.parametric_distribution_model method) (cleands.Distribution.dist.multinomial method) (cleands.Distribution.dist.normal method) (cleands.Distribution.dist.uniform method) censoring_probs() (cleands.Prediction.ldv.tobit_regressor method) check_special_power_funcs() (in module cleands.formula) classification_model (class in cleands.base) ClassificationModel (class in cleands.base) classify() (cleands.base.classification_model method) (cleands.base.ClassificationModel method) (cleands.Classification.tree.recursive_partitioning_classifier method) cleands module cleands.base module cleands.Classification module cleands.Classification.ensemble module cleands.Classification.glm module cleands.Classification.knn module cleands.Classification.lda module cleands.Classification.nb module cleands.Classification.tree module cleands.Clustering module

cleands.Clustering.kmeans module cleands.DimensionReduction module cleands.DimensionReduction.pca module cleands.Distribution module cleands.Distribution.dist module cleands.formula module cleands.Prediction module cleands.Prediction.ensemble module cleands.Prediction.glm module cleands.Prediction.knn module cleands.Prediction.ldv module cleands.Prediction.shrinkage module cleands.Prediction.tree module cleands.utils module cluster() (cleands.base.clustering_model method) (cleands.base.ClusteringModel method) (cleands.Clustering.kmeans.simple_k_means method) clustering_model (class in cleands.base) ClusteringModel (class in cleands.base) conf_int() (cleands.base.variance_model method) confusion_matrix (cleands.base.classification_model property)

D

decision_function() (cleands.Classification.lda.quadratic_discriminant_analysis method) degrees_of_freedom (cleands.base.prediction_model property) deviance (cleands.base.likelihood_model property) (cleands.base.parametric_distribution_model property) (cleands.base.prediction_likelihood_model property)

dimension_reduction_model (class in cleands.base) DimensionReductionModel (class in cleands.base) discriminant() (cleands.Classification.lda.linear_discriminant_analysis method) distribution_model (class in cleands.base)

E

evaluate_lnL() (cleands.base.prediction_likelihood_model method) (cleands.Prediction.glm.linear_model method) (cleands.Prediction.glm.logistic_regressor method) (cleands.Prediction.glm.poisson_regressor method) (cleands.Prediction.ldv.tobit_regressor method)

expected_observed() (cleands.Prediction.ldv.tobit_regressor method) expit() (in module cleands.utils)

F

fitted (cleands.base.classification_model property) (cleands.base.prediction_likelihood_model property) (cleands.base.prediction_model property) (cleands.Classification.tree.recursive_partitioning_classifier property) (cleands.Prediction.tree.recursive_partitioning_regressor property)

forward_stepwise() (in module cleands.Prediction.glm)

G

gaussian_naive_bayes (class in cleands.Classification.nb) GaussianNaiveBayes (class in cleands.Classification.nb) generate_interactions() (in module cleands.formula) glance (cleands.base.broom_model property) (cleands.base.SupervisedModel property) (cleands.base.UnsupervisedModel property) (cleands.base.variance_model property) (cleands.Classification.glm.logistic_classifier property) (cleands.Classification.glm.multinomial_classifier property) (cleands.Prediction.tree.recursive_partitioning_regressor property)

gradient() (cleands.Prediction.glm.logistic_regressor method) (cleands.Prediction.glm.poisson_regressor method) gradient_descent() (in module cleands.utils) grid_search() (in module cleands.utils) groups (cleands.base.clustering_model property)

H

hessian() (cleands.Prediction.glm.logistic_regressor method) (cleands.Prediction.glm.poisson_regressor method)

hstack() (in module cleands.utils)

I

in_numpy() (in module cleands.formula) intercept() (in module cleands.utils) is_as_is() (in module cleands.formula)

is_interaction() (in module cleands.formula) itemfreq() (in module cleands.utils) itemprob() (in module cleands.utils)

K

k_fold_cross_validation() (in module cleands.utils) k_means (class in cleands.Clustering.kmeans) k_nearest_neighbors_classifier (class in cleands.Classification.knn) k_nearest_neighbors_cross_validation_classifier (class in cleands.Classification.knn) k_nearest_neighbors_cross_validation_regressor (class in cleands.Prediction.knn)

k_nearest_neighbors_regressor (class in cleands.Prediction.knn) kMeans (class in cleands.Clustering.kmeans) kNearestNeighborsClassifier (class in cleands.Classification.knn) kNearestNeighborsCrossValidationClassifier (class in cleands.Classification.knn) kNearestNeighborsCrossValidationRegressor (class in cleands.Prediction.knn) kNearestNeighborsRegressor (class in cleands.Prediction.knn)

L

l1_bootstrap_regressor (class in cleands.Prediction.shrinkage) l1_cross_validation_regressor (class in cleands.Prediction.shrinkage) l1_regularization_regressor (class in cleands.Prediction.shrinkage) L1BootstrapRegressor (class in cleands.Prediction.shrinkage) learning_model (class in cleands.base) least_squares_regressor (class in cleands.Prediction.glm) LeastSquaresRegressor (class in cleands.Prediction.glm) likelihood_helper() (cleands.Distribution.dist.multinomial method) (cleands.Distribution.dist.normal method) (cleands.Distribution.dist.uniform method) likelihood_model (class in cleands.base) likelihood_type (class in cleands.base) linear_discriminant_analysis (class in cleands.Classification.lda)

linear_model (class in cleands.Prediction.glm) LinearDiscriminantAnalysis (class in cleands.Classification.lda) log_likelihood (cleands.base.likelihood_model property) (cleands.base.likelihood_type property) (cleands.base.parametric_distribution_model property) (cleands.base.prediction_likelihood_model property) log_likelihood() (cleands.Classification.nb.gaussian_naive_bayes method) (cleands.Classification.nb.multinomial_naive_bayes method) (cleands.Classification.nb.naive_bayes method) LOGGING (in module cleands.formula) logistic_classifier (class in cleands.Classification.glm) logistic_regressor (class in cleands.Prediction.glm) LogisticClassifier (class in cleands.Classification.glm) LogisticRegressor (class in cleands.Prediction.glm)

M

make_pretty_minus() (in module cleands.formula) marginal_effects() (cleands.Prediction.glm.logistic_regressor method) match_parens() (in module cleands.formula) mcfaddens_r_squared (cleands.Prediction.glm.logistic_regressor property) mean_squared_error (cleands.base.dimension_reduction_model property) (cleands.base.prediction_model property) means (cleands.base.clustering_model property) misclassification_probability (cleands.base.classification_model property) module cleands cleands.base cleands.Classification cleands.Classification.ensemble cleands.Classification.glm cleands.Classification.knn cleands.Classification.lda cleands.Classification.nb cleands.Classification.tree cleands.Clustering cleands.Clustering.kmeans cleands.DimensionReduction cleands.DimensionReduction.pca cleands.Distribution cleands.Distribution.dist cleands.formula cleands.Prediction cleands.Prediction.ensemble cleands.Prediction.glm cleands.Prediction.knn cleands.Prediction.ldv cleands.Prediction.shrinkage cleands.Prediction.tree cleands.utils

multinomial (class in cleands.Distribution.dist) multinomial_classifier (class in cleands.Classification.glm) multinomial_naive_bayes (class in cleands.Classification.nb) MultinomialClassifier (class in cleands.Classification.glm) MultinomialNaiveBayes (class in cleands.Classification.nb)

N

n_classes (cleands.base.classification_model property) n_clusters (cleands.base.clustering_model property) n_feat (cleands.base.likelihood_model attribute) (cleands.base.prediction_likelihood_model attribute) n_obs (cleands.base.likelihood_model attribute) (cleands.base.prediction_likelihood_model attribute) naive_bayes (class in cleands.Classification.nb)

neighbors() (cleands.Prediction.knn.k_nearest_neighbors_regressor method) newton() (in module cleands.utils) normal (class in cleands.Distribution.dist) null_likelihood (cleands.base.likelihood_model property) (cleands.base.likelihood_type property) (cleands.base.parametric_distribution_model property) (cleands.base.prediction_likelihood_model property)

O

one_hot_encode() (in module cleands.utils) out_of_sample_accuracy() (cleands.base.classification_model method) out_of_sample_confusion_matrix() (cleands.base.classification_model method) out_of_sample_deviance() (cleands.base.parametric_distribution_model method) out_of_sample_log_likelihood() (cleands.base.parametric_distribution_model method) (cleands.Distribution.dist.multinomial method) (cleands.Distribution.dist.normal method) (cleands.Distribution.dist.uniform method)

out_of_sample_mean_squared_error() (cleands.base.dimension_reduction_model method) (cleands.base.prediction_model method) out_of_sample_misclassification_probability() (cleands.base.classification_model method) out_of_sample_null_likelihood() (cleands.base.parametric_distribution_model method) (cleands.Distribution.dist.multinomial method) (cleands.Distribution.dist.normal method) (cleands.Distribution.dist.uniform method) out_of_sample_root_mean_squared_error() (cleands.base.dimension_reduction_model method) (cleands.base.prediction_model method)

P

p_value (cleands.base.variance_model property) parametric_distribution_model (class in cleands.base) params (cleands.base.parametric_distribution_model attribute) parse() (in module cleands.formula) parse_basic() (in module cleands.formula) parse_complex() (in module cleands.formula) parse_complex_expression_by_splitting_on_string() (in module cleands.formula) parse_expression() (in module cleands.formula) parse_term() (in module cleands.formula) pdf() (cleands.base.distribution_model method) (cleands.base.parametric_distribution_model method) (cleands.Distribution.dist.multinomial method) (cleands.Distribution.dist.normal method) (cleands.Distribution.dist.uniform method) poisson_regressor (class in cleands.Prediction.glm) PoissonRegressor (class in cleands.Prediction.glm) predict() (cleands.base.prediction_model method) (cleands.base.PredictionModel method) (cleands.Prediction.ensemble.bagging_least_squares_regressor method) (cleands.Prediction.ensemble.bagging_logistic_regressor method) (cleands.Prediction.ensemble.bagging_recursive_partitioning_regressor method) (cleands.Prediction.glm.linear_model method) (cleands.Prediction.glm.logistic_regressor method) (cleands.Prediction.glm.poisson_regressor method) (cleands.Prediction.knn.k_nearest_neighbors_regressor method) (cleands.Prediction.ldv.tobit_regressor method) (cleands.Prediction.tree.recursive_partitioning_regressor method)

predict_proba() (cleands.base.classification_model method) (cleands.base.ClassificationModel method) (cleands.Classification.ensemble.bagging_logistic_classifier method) (cleands.Classification.ensemble.bagging_recursive_partitioning_classifier method) (cleands.Classification.glm.logistic_classifier method) (cleands.Classification.glm.multinomial_classifier method) (cleands.Classification.knn.k_nearest_neighbors_classifier method) (cleands.Classification.lda.linear_discriminant_analysis method) (cleands.Classification.lda.quadratic_discriminant_analysis method) (cleands.Classification.nb.naive_bayes method) (cleands.Classification.tree.recursive_partitioning_classifier method) prediction_likelihood_model (class in cleands.base) prediction_model (class in cleands.base) PredictionModel (class in cleands.base) principal_components_analysis (class in cleands.DimensionReduction.pca) PrincipalComponentsAnalysis (class in cleands.DimensionReduction.pca)

Q

quadratic_discriminant_analysis (class in cleands.Classification.lda)

QuadraticDiscriminantAnalysis (class in cleands.Classification.lda)

R

r_squared (cleands.base.prediction_model property) random_forest_classifier (class in cleands.Classification.ensemble) random_forest_regressor (class in cleands.Prediction.ensemble) RandomForestClassifier (class in cleands.Classification.ensemble) RandomForestRegressor (class in cleands.Prediction.ensemble) recursive_partitioning_classifier (class in cleands.Classification.tree) recursive_partitioning_regressor (class in cleands.Prediction.tree) RecursivePartitioningClassifier (class in cleands.Classification.tree) RecursivePartitioningRegressor (class in cleands.Prediction.tree) reduce() (cleands.base.dimension_reduction_model method) (cleands.base.DimensionReductionModel method) (cleands.base.supervised_dimension_reduction_model method) (cleands.DimensionReduction.pca.principal_components_analysis method)

reduce_X() (cleands.base.supervised_dimension_reduction_model method) (cleands.DimensionReduction.pca.canonical_correlation_analysis method) reduce_Y() (cleands.base.supervised_dimension_reduction_model method) (cleands.DimensionReduction.pca.canonical_correlation_analysis method) residual_sum_of_squares (cleands.base.prediction_model property) residual_variance (cleands.base.prediction_model property) residuals (cleands.base.prediction_model property) root_mean_squared_error (cleands.base.dimension_reduction_model property) (cleands.base.prediction_model property)

S

select_k() (in module cleands.Clustering.kmeans) (in module cleands.DimensionReduction.pca) set_product() (in module cleands.utils) simple_k_means (class in cleands.Clustering.kmeans) solve_lasso() (cleands.Prediction.shrinkage.l1_regularization_regressor static method) special_power() (in module cleands.formula)

special_power_funcs (in module cleands.formula) split_expression() (in module cleands.formula) std_error (cleands.base.variance_model property) stepwise() (in module cleands.Prediction.glm) supervised_dimension_reduction_model (class in cleands.base) supervised_model (class in cleands.base) SupervisedModel (class in cleands.base)

T

t_statistic (cleands.base.variance_model property) test_split_pandas() (in module cleands.utils) test_train_split() (in module cleands.utils) tidy (cleands.base.broom_model property) (cleands.base.SupervisedModel property) (cleands.base.UnsupervisedModel property) (cleands.base.variance_model property) (cleands.Classification.glm.logistic_classifier property) (cleands.Classification.glm.multinomial_classifier property) (cleands.Prediction.tree.recursive_partitioning_regressor property)

tidyci() (cleands.base.SupervisedModel method) (cleands.base.UnsupervisedModel method) (cleands.base.variance_model method) (cleands.Classification.glm.logistic_classifier method) (cleands.Classification.glm.multinomial_classifier method) tobit_regressor (class in cleands.Prediction.ldv) TobitRegressor (class in cleands.Prediction.ldv) total_within_group_sum_of_squares (cleands.base.clustering_model property) total_within_group_sum_of_squares_for_different_k() (in module cleands.Clustering.kmeans)

U

uniform (class in cleands.Distribution.dist) unique() (in module cleands.formula)

unsupervised_model (class in cleands.base) UnsupervisedModel (class in cleands.base) USE_CARET (in module cleands.formula)

V

variance_model (class in cleands.base) vcov_params (cleands.Classification.glm.logistic_classifier property) (cleands.Prediction.ensemble.bagging_least_squares_regressor property) (cleands.Prediction.ensemble.bagging_logistic_regressor property) (cleands.Prediction.glm.least_squares_regressor property) (cleands.Prediction.glm.logistic_regressor property) (cleands.Prediction.glm.poisson_regressor property) (cleands.Prediction.ldv.tobit_regressor property) (cleands.Prediction.shrinkage.l1_bootstrap_regressor property)

vcov_params() (cleands.base.variance_model method) vstack() (in module cleands.utils)

W

within_group_sum_of_squares (cleands.base.clustering_model property)

X

x (cleands.base.parametric_distribution_model attribute)

Y

y (cleands.base.prediction_likelihood_model attribute)