Man pages for rminer
Machine Learning Classification and Regression Methods
| CasesSeries | Create a training set (data.frame) from a time series using a... |
| crossvaldata | Computes k-fold cross validation for rminer models. |
| delevels | Reduce, replace or transform levels of a data.frame or factor... |
| fit | Fit a supervised data mining model (classification or... |
| holdout | Computes indexes for holdout data split into training and... |
| Importance | Measure input importance (including sensitivity analysis)... |
| imputation | Missing data imputation (e.g. substitution by value or... |
| lforecast | Compute long term forecasts. |
| mgraph | Mining graph function |
| mining | Powerful function that trains and tests a particular fit... |
| mmetric | Compute classification or regression error metrics. |
| mparheuristic | Function that returns a list of searching (hyper)parameters... |
| predict-methods | predict method for fit objects (rminer) |
| rminer-internal | Internal rminer Functions |
| sa_fri1 | Synthetic regression and classification datasets for... |
| savemining | Load/save into a file the result of a fit (model) or mining... |
| sin1reg | sin1 regression dataset |
| vecplot | VEC plot function (to use in conjunction with Importance... |
