Preprocess Data and Get Better Insights from Machine Learning
Models
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Documentation for package ‘helda’ version 1.1.5
Help Pages
| cluster_centroid | Centroid of a cluster |
| compute_global_inertia | Inertia of a data frame |
| compute_inertia_ahc | Intra group inertia for choosing the optimal number of clusters in Agglomerative Clustering |
| create_calendar | Complete empty calendar |
| create_formula | Create a formula |
| gap_to_fill | Filling intermediate gaps in a time serie |
| kmeans_procedure | K-means procedure |
| lift_curve | Lift curve graph |
| lift_effect | Lift effect curve |
| proc_freq | SAS proc freq in R |
| start_end_to_fill | Function for filling start and end gaps in time series |
| titanic_testing | Titanic testing data set |
| titanic_training | Titanic training data set |
| titanic_validation | Titanic validation data set |
| windows_to_linux_path | Convert windows path into linux path |
| world_countries_pop | World countries population from 1960 to 2018 |