Man pages for e-sensing/activelearning
Active Learning Satellite Image Time Series
| al_egal | Implementation of Exploration Guided Active Learning (EGAL) |
| al_random_sampling | Implementation of Active Learning using a random sampling... |
| al_s2 | Implementation of Shortest Shortest Path (S2) algorithm |
| dot-al_check_time_series | Check the time series in a sits tibble. |
| dot-al_compute_metrics | Compute metrics of active learning using random sampling. |
| dot-al_count_col | Count the number of columns in the time series of a sits... |
| dot-al_count_na | Count the number of NAs in the time series of a sits tibble. |
| dot-al_count_row | Count the number of rows in the time series of each... |
| dot-al_egal | Implementation of Exploration Guided Active Learning (EGAL) |
| dot-al_egal_update_beta | Compute a new value for the beta parameter. |
| dot-al_get_random_points | Get a sits tibble of random points in the given data cube. |
| dot-al_rs | Implementation of Active Learning using random sampling |
| dot-al_s2 | Implementation of Shortest Shortest Path (S2) algorithm |
| dot-al_s2_bild_closest_vertex_graph | Build a matrix representing a graph made of the closest... |
| dot-al_s2_mssp | Compute the MSSP subroutine. |
| dot-al_s2_remove_mismatch_edges | Remove mismatching edges from a graph. |
| dot-al_s2_short_paths | Get the shortest paths between vertices. |
