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.name_repair error stemming from the
hai_umap_list() hai_umap_list() /
umap_list() function. (@VladPerervenko)None
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hai_kmeans_automl() that
caused the function to fail before any modeling even occurred.None
healthyR.ai::: to access the functions.1, Fix #306 - Fix failing custom recipe steps due to type checks
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hai_umap_list() and alias
umap_list() this helps users who transition from the
healthyR functionality of the same name, while also
creating distinct functionality related to healthyR.aihai_umap_plot() and alias
umap_plt() this helps the same as Fix #286.uwot package to the
DESCRIPTION file in order to make umap_
functions.None
color_blind()
hai_scale_color_colorblind() and
hai_scale_fill_colorblind()hai_auto_wflw_metrics()hai_c50_data_prepper() and hai_auto_c50()hai_glmnet_data_prepper() and
hai_auto_glmnet()hai_cubist_data_prepper() and
hai_auto_cubist()hai_earth_data_prepper() and
hai_auto_earth()hai_svm_poly_data_prepper() and
hai_auto_svm_poly()hai_svm_rbf_data_prepper() and
hai_auto_svm_rbf()hai_ranger_data_prepper() and
hai_auto_ranger()hai_xgboost_data_prepper() and
hai_auto_xgboost()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
rstudioapiNone
hai_scale_zero_one_vec()hai_scale_zero_one_augment()step_hai_scale_zero_one()hai_range_statistic()None
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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
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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
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hai_control_chartNone
NEWS.md file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.