Man pages for jbkunst/klassets
Tools to simulate data set to teach Statistical Models and ML Algorithms
| fit_classification_random_forest | Fit classification random forest to 'klassets_response_xy'... |
| fit_classification_tree | Fit classification tree to 'klassets_response_xy' object |
| fit_hclust | Fit Hierarchical Clustering to 'klassets_cluster' object... |
| fit_kmeans | Fit K-means to 'klassets_cluster' object |
| fit_knn | Fit K Nearest Neighbours to 'klassets_response_xy' object |
| fit_linear_model | Fit Linear model to 'klassets_xy' object |
| fit_linear_model_tree | Fit Linear Model tree to 'klassets_xy' object |
| fit_loess | Fit Local polynomial regression to 'klassets_xy' object |
| fit_logistic_regression | Fit Logistic regression to 'klassets_response_xy' object |
| fit_mars | Fit Multivariate Adaptive Regression Splines to 'klassets_xy'... |
| fit_regression_random_forest | Fit regression random forest to 'klassets_xy' object |
| fit_regression_tree | Fit regression tree to 'klassets_xy' object |
| fit_statskmeans | Fit K-means to 'klassets_cluster' object using... |
| idyob10k | 10,000 observations of ID and year of birth |
| idyob1k | 1000 observations of ID and year of birth |
| kmeans_iterations | Generate intermediate iterations when performing K-means |
| mnist_plot_digits | Plot some digits from train mnist data |
| mnist_test | MNIST test data |
| mnist_train | MNIST train data |
| sim_groups | Generate data sets to apply clustering algorithms |
| sim_quasianscombe_set_1 | Generate _quasi_ Anscombe data sets Type 1 |
| sim_quasianscombe_set_2 | Generate _quasi_ Anscombe data sets Type 2: No linear... |
| sim_quasianscombe_set_3 | Generate _quasi_ Anscombe data sets Type 3: Extreme values... |
| sim_quasianscombe_set_4 | Generate _quasi_ Anscombe data sets Type 4: 2 Clusters |
| sim_quasianscombe_set_5 | Generate _quasi_ Anscombe data sets Type 5:... |
| sim_quasianscombe_set_6 | Generate _quasi_ Anscombe data sets Type 6: Simpson's Paradox |
| sim_response_xy | Generate data sets to apply binary classifiers |
| sim_xy | Generate data sets to apply regression methods |
