None
ts_random_walk() that would
generate 3 runs when run was set to less than 2.timetk::step_holiday_signature() as it is
throwing recycle erros in boilerplate functions and I currently cannot
figure 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 the
parsnip engine of auto_arima if .tune is set
to FALSENone
ts_growth_rate_vec()ts_adf_test()auto_stationarize()ts_growth_rate_augment().true
param to FALSENone
None
None
None
tune::show_best(n = 1) instead of Inf and
using dplyr::slice(1)None
ts_ma_plt() errors stemming from
deprecations. 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() 49x
speedup by way of vectorization..motion_typets_vva_plot()None
ts_brownian_motion()ts_scedacity_scatter_plot()None
None
ts_lag_correlation() to fix a bug in the
correlation matrix calculation where columns may come through that are
not numeric and are not part of the original value and it’s lags.None
None
recipes::check_type() on recipe functions.ts_model_spec_tune_template() to set
regression as the argument to
parsnip::set_mode() which fires a failure in the
ts_model_auto_tune() not running on newer versions of
parsnipNone
ts_wfs_xgboost()ts_calendar_heatmap_plot() Change
weekdays and Monthls to abbreviated labels.ts_sma_plot() There is a change in the
API of this function. It now requires a
data.frame/tibble to be passed to the
.data parameter, and it also now requires the input of a
date column and value column. This also now no longer returns invisible.
There was also a fix in the sliding calculation to appropriately use the
given value column.ts_extract_auto_fitted_workflow() Which will pull out the
fitted workflow from any of the Boilerplate functions.ts_auto_lm() by dropping
step_rm() and step_corr() which would prevent
calibrate_and_plot() from working due to
modeltime_calibration() failing. Also dropped unused
parameters from function and documentation.ts_lag_correlation()
select statement.None
ts_time_event_analysis_tbl()ts_lag_correlation()ci_hi() and
ci_lo()ts_event_analysis_plot()ts_model_auto_tune() and
ts_model_spec_tune_template() to accept
svm_poly and svm_rbf. This helps in allowing
users to auto tune models that are create by
ts_wfs_svm_poly() and ts_wfs_svm_rbf()
functions respectively. Also added “model_spec_class” to the output of
the ts_model_auto_tune() function.None
ts_auto_arima() boiler plate
function.color_blind()
ts_scale_fill_colorblind() and
ts_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 to
healthyR.ai in anticipation of dropping kmeans
functionality from healthyRNone
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 since
functionality like extracting dials parameters was taken out of dials
and moved to hardhat.None
ts and Fitted tibble
data to output.ts and Residuals
tibble data to output.Arima() models with xreg to
ts_forecast_simulator()model_extraction_helper() to utilize
forecast:::arima.string() under the hood for
Arima arima and auto.arima models
produced by the forecast package.crayon, cli, and
rstudioapi since all it did was make a welcome message that
can be done with regular print() method.None
ts_qq_plot()ts_scedacity_scatter_plot()ts_model_rank_tbl()model_extraction_helper() to grab
workflow model_spec and model_fit
objects.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 to
ts_sma_plot() so that if a tibble is passed the appropriate
column is passed to the ggplot object.model_extraction_helper() function to
extract workflow fit models.None
None
Fix #143 - Drop mtry = tune::tune() from
ts_model_spec_tune_template as it causes issues
downstream.
None
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 the
change of column names in the output. This has been fixed and the column
names 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() helper
functionts_ma_plot() plotting functionts_calendar_heatmap_plot() plotting
functionts_splits_plot() plotting functionNone
ts_auto_recipe() functionNone
NEWS.md file to track changes to the
package.