Man pages for mrfoliveira/STResampling-DSAA2019
Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting
| add_ratios | Add ratios between spatio-temporal neighborhood indicators |
| centralImputNAs | Handling NAs in train and test |
| cv_folds | Cut into folds |
| df2site_sf | Create an sf object of available sites |
| embed_series | Embed each time series in a spatio-temporal data set |
| estimates | Estimate error using a chosen method |
| eval_stats | Calculate regression evaluation metrics |
| evaluate | Evalute the results of a predictive workflow |
| get_all_neib_vals | Get the spatio-temporal neighbourhoods of all observations |
| get_full_indicators | Get time series embeds and spatio-temporal indicators |
| get_phi | Calculate utility-based relevance |
| get_space_wts | Calculate spatially-biased re-sampling weights |
| get_spatial_dist_mat | Calculate spatial distance matrix |
| get_st_indicator | Get a spatio-temporal indicator from neighbourhood data frame |
| get_st_indicators | Get spatio-temporal indicators from a data frame containing... |
| get_st_neighbours | Get spatio-temporal neighbourhood |
| get_time_dist_mat | Calculate temporal distance matrix |
| get_time_wts | Calculate temporally-biased re-sampling weights |
| internal_workflow | A learning and prediction workflow with internal validation |
| int_util_evaluate | Evalute the results of an internal predictive workflow |
| kf_xval | Cross-validation |
| norm_scale | Feature scaling |
| prequential_eval | Prequential evaluation |
| RandOverRegress | Random over-sampling for imbalanced regression problems |
| randOverRegress_ST | Biased over-sampling for imbalanced regression... |
| RandUnderRegress | Random under-sampling for imbalanced regression problems |
| randUnderRegress_ST | Biased under-sampling for imbalanced regression... |
| responseValues | Get response values of a dataset from a formula |
| sample_wts | Get spatio-temporal re-sampling weights |
| shuffle | Shuffle values/rows |
| simple_workflow | A simple learning and prediction workflow |
| summarize_metrics | Summarize metrics |
| Tall_SPrand | Spatial CV |
| Tblock_SPall | Temporally blocked CV |
| Tblock_SPrand | Temporal blocked and randomly assigned spatial CV |
| Trand_SPall | Temporal CV |
| Trand_SPrand | Classic k-fold CV |
