Man pages for urmanml/easyMLR
Easy Machine Learning - end to end ML worklflow in simple english language
| analyseThresholdVsPerformance | outputs performance at different threshold for different... |
| benchmarkExperiment | Benchmark different models on the training data set using... |
| bestLearnerIndex | Find the best model in the benchmark result |
| featureNormalization | normalize features |
| hello | test function |
| missingValueImputation | Function for missing value imputation missing value... |
| outlierTreatment | outlier treatment function |
| paramSet | Search space for Hyperparameters Currently supports major... |
| performance | Evaluate performance of prediction algorithm input: pred... |
| prediction | Used for prediction using the trained model input: threshold,... |
| preProcess | Function for preprocessing data turn character into factors |
| selectLearner | User chooses the learner to be used for training by looking... |
| train | Used to train the model input: lrn, task output: trained... |
| treatClassImbalance | Treat Class Imbalance. Default rate is 8 |
| tuneLearners | Automatic Hyperparameter tuning using cross-validation of a... |
| tuningFunction | hyperparameter tuning function |
