None
hai_skewed_features()
hai_scale_zscore_vec()
and hai_scale_zscore_augment()
and add step_hai_scale_zscore()
hai_knn_data_prepper()
hai_default_regression_metric_set()
hai_default_classification_metric_set()
hai_auto_knn()
hai_histogram_facet_plot()
It now returns a list output invisible while printing the plot out. The list includes the original data and the factored data along with the plot. There has been a parameter addition of .scale_data
which is set to FALSE and uses hai_scale_zero_one_vec()
to do the work.None
hai_kurtosis_vec()
hai_skewness_vec()
hai_distribution_comparison_tbl()
hai_get_dist_data_tbl()
hai_get_density_data_tbl()
hai_density_plot()
hai_density_qq_plot()
hai_density_hist_plot()
hai_histogram_facet_plot()
pca_your_recipe()
output. Added a parameter of .top_n
to get how many vairable loadings you want returned.cli
and crayon
to Imports from Suggest due to pillar
not importing anymore.cli
, crayon
, and rstudioapi
None
hai_scale_zero_one_vec()
hai_scale_zero_one_augment()
step_hai_scale_zero_one()
hai_range_statistic()
None
None
hai_winsorized_move_vec()
hai_winsorized_move_augment()
step_hai_winsorized_move()
hai_winsorized_truncate_vec()
hai_winsorized_truncate_augment()
step_hai_winsorized_truncate()
None
None
hai_data_scale()
hai_data_impute()
hai_data_trig()
, Exported Func step_hai_hyperbolic()
hai_hyperbolic_vec()
function.hai_hyperbolic_augment()
function.hai_fourier_vec()
,hai_fourier_augment()
,step_hai_fourier()
functions.hai_fourier_discrete_vec()
, hai_fourier_discrete_augment()
, step_hai_fourier_discrete()
hai_polynomial_augment()
hai_data_transform()
hai_data_poly()
tune
objects.None
hai_kmeans_mapped_tbl()
hai_kmeans_obj()
hai_kmeans_scree_data_tbl()
hai_kmeans_scree_plt()
hai_kmeans_tidy_tbl()
hai_kmeans_user_item_tbl()
pca_your_recipe()
hai_kmeans_automl()
hai_kmeans_automl_predict()
None
None
hai_control_chart
None
NEWS.md
file to track changes to the package.