hai_data_* functions that return a new recipe
object all have the same name. The new name for the updated recipe object is:
new_rec_obj.modeltime dependency - The package now uses parallelly::makeClusterPSOCK()
and parallel::stopCluster() instead of modeltime::parallel_start() and
modeltime::parallel_stop(). Added parallel and parallelly as suggested
packages.%>% in favor of native R pipe |>. This
requires R >= 4.1.0. The magrittr package has been removed from Imports.hai_kmeans_automl() and hai_kmeans_automl_predict() - remove h2o dependencyNone
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hai_c50_data_prepper() from @EmilHvitfeldtNone
hai_earth_data_prepper() that caused it to not fully
process.None
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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
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
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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
None
hai_control_chartNone
NEWS.md file to track changes to the package.