Man pages for NSAPH/airpred
A Framework For Building Air Pollution Estimation Models
| airpred_assembled | 10 days of PM2.5 prediction input data |
| airpred_clean | 10 days of PM2.5 prediction input data |
| airpred_monitor_locations | WGS84 Lat and Lon locations of the PM2.5 monitors |
| airpred.predict | Generate predictions from a previously trained model |
| clean_hidden | convert hidden layer representation to vector |
| clean_model_configs | Remove model config file from current directory |
| clean_up_config | Remove current config file |
| clean_up_stats | Remove Statistic file |
| destandardize_all | Destandardize Data |
| display_config | Print a config file's contents to the console |
| edit_params | Generate config files for all training models |
| ensemble_config_check | Check that the model parameters allow for the h2o ensemble to... |
| ensemble_formula | Build formula for ensmeble model |
| gen_config | Generate Config File Skeleton |
| gen_grid_config | Generate configuration file for use with the grid search... |
| gen_model_config | Generate a config file for a given function |
| gen_stats | Generate Data Frame with stored mean and sd |
| gen_weights | Generate geographic weighting matrix |
| get_csv_data | Generate training data from CSV |
| get_logit_weights | Generate the weights for use in the mixed imputation model |
| get_rds_data | Generate training data from RDS |
| grid_search | run grid search for specified models |
| grid_to_config | Generate Model configs from grid search results |
| h2o_impute | Impute missing values using a H2O Random Forest model |
| h2o_impute_all | Impute all specified variables using h2o |
| h2o_predict_impute | Impute missing values using a previously trained H2O Random... |
| h2o_predict_impute_all | Impute all specified variables using h2o with previously... |
| implemented_models | List Implemented training models |
| impute_all | Impute full dataset |
| impute_all_parallel | Parallel implementation of Imputation algorithm |
| list_imputed_variables | List all varibles imputed in the process |
| load_data | Load csv or RDS data |
| load_predict_data | Load and prepare data for prediction |
| make_default_structure | Create airpred project directory structure |
| MLE_impute | Impute varibles using mixed linear models |
| param_config_check | Check to see if model config files are in use |
| predict_impute_all | Impute full dataset |
| print_logit_inputs | List inputs to logit used in imputation |
| print_MLE_inputs | List inputs to mle used in imputation |
| standardize_all | Standardize Data |
| train | Train Air Pollution Model |
| train_ensemble | Train h2o ensemble model |
| train_forest | Train Random Forest |
| train_generic | Train an h2o model using the generic architecture |
| train_gradboost | Train Gradient Boost |
| train_nn | Train Neural Net |
| yes | get a boolean value from the user |
