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ts_random_walk() that wouldgenerate 3 runs when run was set to less than 2.timetk::step_holiday_signature() as it isthrowing recycle erros in boilerplate functions and I currently cannotfigure out why.None
util_log_ts()util_singlediff_ts()util_doublediff_ts()util_difflog_ts()util_doubledifflog_ts()ts_growth_rate_vec()auto_stationarize()ts_auto_arima() to utilize theparsnip engine ofauto_arima if.tune is settoFALSENone
ts_growth_rate_vec()ts_adf_test()auto_stationarize()ts_growth_rate_augment().trueparam toFALSENone
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tune::show_best(n = 1) instead ofInf andusingdplyr::slice(1)None
ts_ma_plt() errors stemming fromdeprecations. Also fixed examples of all boilerplate functions.None
ts_geometric_brownian_motion()ts_brownian_motion_augment()ts_geometric_brownian_motion_augment()ts_brownian_motion_plot()ts_brownian_motion() 49xspeedup by way of vectorization..motion_typets_vva_plot()None
ts_brownian_motion()ts_scedacity_scatter_plot()None
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ts_lag_correlation() to fix a bug in thecorrelation matrix calculation where columns may come through that arenot numeric and are not part of the original value and it’s lags.None
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recipes::check_type() on recipe functions.ts_model_spec_tune_template() to setregression as the argument toparsnip::set_mode() which fires a failure in thets_model_auto_tune() not running on newer versions ofparsnipNone
ts_wfs_xgboost()ts_calendar_heatmap_plot() Changeweekdays and Monthls to abbreviated labels.ts_sma_plot() There is a change in theAPI of this function. It now requires adata.frame/tibble to be passed to the.data parameter, and it also now requires the input of adate column and value column. This also now no longer returns invisible.There was also a fix in the sliding calculation to appropriately use thegiven value column.ts_extract_auto_fitted_workflow() Which will pull out thefitted workflow from any of the Boilerplate functions.ts_auto_lm() by droppingstep_rm() andstep_corr() which would preventcalibrate_and_plot() from working due tomodeltime_calibration() failing. Also dropped unusedparameters from function and documentation.ts_lag_correlation()select statement.None
ts_time_event_analysis_tbl()ts_lag_correlation()ci_hi() andci_lo()ts_event_analysis_plot()ts_model_auto_tune() andts_model_spec_tune_template() to acceptsvm_poly andsvm_rbf. This helps in allowingusers to auto tune models that are create byts_wfs_svm_poly() andts_wfs_svm_rbf()functions respectively. Also added “model_spec_class” to the output ofthets_model_auto_tune() function.None
ts_auto_arima() boiler platefunction.color_blind()ts_scale_fill_colorblind() andts_scale_color_colorblind()ts_auto_smooth_es()ts_auto_theta()ts_auto_lm()ts_auto_svm_poly()ts_auto_svm_rbf()ts_auto_arima_xgboots() when.tune is FALSE.tune::tune()healthyR tohealthyR.ai in anticipation of droppingkmeansfunctionality fromhealthyRNone
ts_arima_simulator()ts_feature_cluster()ts_feature_cluster_plot()ts_auto_glmnet()ts_auto_xgboost()ts_auto_arima_xgboost()ts_auto_mars()ts_auto_exp_smoothing()ts_auto_croston()ts_auto_nnetar()ts_auto_prophet_reg()ts_auto_prophet_boost()[recipes::print_step()] method.ggplot2::theme_minimal()hardhat to DESCRIPTION sincefunctionality like extracting dials parameters was taken out of dialsand moved to hardhat.None
ts and Fittedtibbledata to output.ts and Residualstibble data to output.Arima() models with xreg tots_forecast_simulator()model_extraction_helper() to utilizeforecast:::arima.string() under the hood forArimaarima andauto.arima modelsproduced by theforecast package.crayon,cli, andrstudioapi since all it did was make a welcome message thatcan be done with regularprint() method.None
ts_qq_plot()ts_scedacity_scatter_plot()ts_model_rank_tbl()model_extraction_helper() to grabworkflowmodel_spec andmodel_fitobjects.None
ts_vva_plot()ts_model_compare()ts_acceleration_vec()ts_acceleration_augment()step_ts_acceleration()ts_velocity_vec()ts_velocity_augment()step_ts_velocity().date_col tots_sma_plot() so that if a tibble is passed the appropriatecolumn is passed to theggplot object.model_extraction_helper() function toextract workflow fit models.None
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Fix #143 - Dropmtry = tune::tune() fromts_model_spec_tune_template as it causes issuesdownstream.
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tidy_fft() functionts_info_tbl() functionts_sma_plot() functionts_to_tbl() functionts_model_auto_tune() functionts_model_spec_tune_template()functionts_wfs_auto_arima() functionts_wfs_arima_boost() functionts_wfs_ets_reg() functionts_wfs_nnetar_reg() functionts_wfs_prophet_reg() functionts_auto_recipe() bug that forced thechange of column names in the output. This has been fixed and the columnnames supplied will now be in the recipe terms.None
ts_forecast_simulator() functioncalibrate_and_plot() helper functionts_wfs_lin_reg(),ts_wfs_mars(),ts_wfs_svm_poly(),ts_wfs_svm_rbf()model_extraction_helper() helperfunctionts_ma_plot() plotting functionts_calendar_heatmap_plot() plottingfunctionts_splits_plot() plotting functionNone
ts_auto_recipe() functionNone
NEWS.md file to track changes to thepackage.