addFactorLevel | Add a new level to a factor |
cleanData | Clean training and test data sets |
countNAs | Count the number of NAs in each column of a data frame |
createConfigFile | Create configuration file for a data set |
createDateFeatures | Create new features based on date fields |
fitFinalModel | Fit all training data using the best model with optimized... |
fixDataRepresentation | Change the data representation depending to fit requirements... |
fix_factor_levels | Synchronize factor levels between train and test sets |
getEvaluation | Predict and evaluate performance of a machine learning model |
getModel | Get an optimized machine learning model |
getModelList | Get a list of models to fit |
getModelMatrix | Convert a data frame to a model matrix |
getNumClass | Find the number of different classes in labels. |
getPartitionIndex | Get partition index for training and validation sets |
getPreProcFactor | Preprocess all factor columns of a data frame |
getPreProcNumeric | Preprocess all numeric columns of a data frame |
getSingleValueCols | Find data frame columns where all values are the same |
getSparseMatrix | Convert a data frame to a sparse model matrix |
getSubmission | Create submission data frame |
getTaskParams | Get task specific parameters |
identifyTask | Identify the type of the learning task |
imputeDefault | Impute missing values with default values |
imputeNA | Impute missing values in a column or vector |
imputeNAs | Impute missing values in train or test data set |
imputeValue | Replace NAs with a specific value |
isBetter | Check if the new score is better than the current best score |
processText | Preprocess all character columns of a data frame |
selectModel | Select the best performing model |
splitData | Split data to training and validation sets |
updateBestModel | Update best_fit_model if the new model is better than the... |
update_classes | Change classes in a data frame according to configuration... |
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