Boston                  Boston Housing Data (Regression)
action                  Action
action.dal_transform    Action implementation for transform
adjust_class_label      Adjust categorical mapping
adjust_data.frame       Adjust to data frame
adjust_factor           Adjust factors
adjust_matrix           Adjust to matrix
autoenc_base_e          Autoencoder - Encode
autoenc_base_ed         Autoencoder - Encode-decode
categ_mapping           Categorical mapping
cla_dtree               Decision Tree for classification
cla_knn                 K Nearest Neighbor Classification
cla_majority            Majority Classification
cla_mlp                 MLP for classification
cla_nb                  Naive Bayes Classifier
cla_rf                  Random Forest for classification
cla_svm                 SVM for classification
cla_tune                Classification Tune
classification          classification
clu_tune                Clustering Tune
cluster                 Cluster
cluster_dbscan          DBSCAN
cluster_kmeans          k-means
cluster_pam             PAM
clusterer               Clusterer
dal_base                Class dal_base
dal_learner             DAL Learner
dal_transform           DAL Transform
dal_tune                DAL Tune
data_sample             Data Sample
dt_pca                  PCA
evaluate                Evaluate
fit                     Fit
fit.cla_tune            tune hyperparameters of ml model
fit.cluster_dbscan      fit dbscan model
fit_curvature_max       maximum curvature analysis
fit_curvature_min       minimum curvature analysis
inverse_transform       Inverse Transform
k_fold                  K-fold sampling
minmax                  Min-max normalization
outliers_boxplot        outliers_boxplot
outliers_gaussian       outliers_gaussian
plot_bar                Plot bar graph
plot_boxplot            Plot boxplot
plot_boxplot_class      Boxplot per class
plot_density            Plot density
plot_density_class      Plot density per class
plot_groupedbar         Plot grouped bar
plot_hist               Plot histogram
plot_lollipop           Plot lollipop
plot_pieplot            Plot pie
plot_points             Plot points
plot_radar              Plot radar
plot_scatter            Scatter graph
plot_series             Plot series
plot_stackedbar         Plot stacked bar
plot_ts                 Plot time series chart
plot_ts_pred            Plot a time series chart with predictions
predictor               DAL Predict
reg_dtree               Decision Tree for regression
reg_knn                 knn regression
reg_mlp                 MLP for regression
reg_rf                  Random Forest for regression
reg_svm                 SVM for regression
reg_tune                Regression Tune
regression              Regression
sample_random           Sample Random
sample_stratified       Stratified Random Sampling
select_hyper            Selection hyper parameters
select_hyper.cla_tune   selection of hyperparameters
set_params              Assign parameters
set_params.default      Default Assign parameters
smoothing               Smoothing
smoothing_cluster       Smoothing by cluster
smoothing_freq          Smoothing by Freq
smoothing_inter         Smoothing by interval
train_test              Train-Test Partition
train_test_from_folds   k-fold training and test partition object
transform               Transform
zscore                  Z-score normalization
