Seasonal Forecasting
Forecasts seasonal data using the Linear Regression algorithm
R Script
Documentation 
Forecast:
RScript<_RScriptFile="SeasonalForecasting.R", _InputNames="Target, Trend, Season", StringParam9="">(Target, Trend, Season) 
ARIMA
Forecasts time series data using the ARIMA algorithm (AutoRegression Integrated with Moving Average)
R Script
Documentation

Forecast
RScript<_RScriptFile="ARIMA.R", _InputNames="Target", SortBy=(Month), NumericParam1=12, NumericParam2=12, NumericParam3=80, NumericParam4=95>(Target) 
ForecastLo1
RScript<_RScriptFile="ARIMA.R", _InputNames="Target", [_OutputVar]="ForecastLo1", SortBy=(Month), NumericParam1=12, NumericParam2=12, NumericParam3=80, NumericParam4=95>(Target) 
ForecastHi1
RScript<_RScriptFile="ARIMA.R", _InputNames="Target", [_OutputVar]="ForecastHi1", SortBy=(Month), NumericParam1=12, NumericParam2=12, NumericParam3=80, NumericParam4=95>(Target) 
ForecastLo2
RScript<_RScriptFile="ARIMA.R", _InputNames="Target", [_OutputVar]="ForecastLo2", SortBy=(Month), NumericParam1=12, NumericParam2=12, NumericParam3=80, NumericParam4=95>(Target) 
ForecastHi2
RScript<_RScriptFile="ARIMA.R", _InputNames="Target", [_OutputVar]="ForecastHi2", SortBy=(Month), NumericParam1=12, NumericParam2=12, NumericParam3=80, NumericParam4=95>(Target) 
Clustering
Clustering using the kMediods algorithm
R Script
Documentation

Cluster
RScript<_RScriptFile="kMedoidsClustering.R", _InputNames="Vars", NumericParam1=4, NumericParam2=10>(Vars) 
Medoids
RScript<_RScriptFile="kMedoidsClustering.R", _InputNames="Vars", [_OutputVar]="Medoids", NumericParam1=4, NumericParam2=10>(Vars) 
Naive Bayes
Classification using the Naive Bayes algorithm
R Script
Documentation

Class
RScript<_RScriptFile="NaiveBayes.r", _InputNames="Target, Vars", StringParam9="NaiveBayes", BooleanParam9=TRUE, NumericParam1=1>(Target, Vars) 
ClassId
RScript<_RScriptFile="NaiveBayes.r", _InputNames="Target, Vars", [_OutputVar]="ClassId", StringParam9="NaiveBayes", BooleanParam9=TRUE, NumericParam1=1>(Target, Vars) 
Neural Network
Classification using Neural Networks
R Script
Documentation

Class
RScript<_RScriptFile="NeuralNetwork.r", _InputNames="Target, Vars", _NullsAllowed=False, StringParam9="NeuralNetwork", BooleanParam9=TRUE, NumericParam1=3, NumericParam2=42>(Target, Vars) 
ClassId
RScript<_RScriptFile="NeuralNetwork.r", _InputNames="Target, Vars", _NullsAllowed=False, [_OutputVar]="ClassId", StringParam9="NeuralNetwork", BooleanParam9=TRUE, NumericParam1=3, NumericParam2=42>(Target,
Vars) 
Random Forests
Classification using the Random Forests algorithm
R Script
Documentation

Class
RScript<_RScriptFile="RandomForest.R", _InputNames="Target, Vars", StringParam9="RandomForest", BooleanParam9=TRUE, NumericParam1="750", NumericParam2="3", NumericParam3="42" >(Target,
Vars) 
ClassId
RScript<_RScriptFile="RandomForest.R", _InputNames="Target, Vars", [_OutputVar]="ClassId", StringParam9="RandomForest", BooleanParam9=TRUE, NumericParam1="750", NumericParam2="3", NumericParam3="42">(Target,
Vars) 
Pairwise Variable Correlation
Peforms pairwise variable correlations
R Script
Documentation

Result
RScript<_RScriptFile="PairwiseCorr.R", BooleanParam1=TRUE, StringParam8="PairwiseCorr", StringParam9="PairwiseCorr">(Labels, Vars) 