Index - M
| Macro | DataFrame.Metrics, DataFrame.Learn |
| mae | DataFrame.Metrics, DataFrame.Learn |
| maxCategoricalSubsetCardinality | DataFrame.DecisionTree, DataFrame.Learn |
| maxExprDepth | DataFrame.DecisionTree, DataFrame.Learn |
| maxTreeDepth | DataFrame.DecisionTree, DataFrame.Learn |
| MeanSquaredError | DataFrame.Synthesis, DataFrame.Learn |
| Metric | DataFrame.Metrics, DataFrame.Learn |
| Micro | DataFrame.Metrics, DataFrame.Learn |
| minCarePointsForLinear | DataFrame.DecisionTree, DataFrame.Learn |
| minLeafSize | DataFrame.DecisionTree, DataFrame.Learn |
| minSamplesSplit | DataFrame.DecisionTree, DataFrame.Learn |
| ModelOf | DataFrame.Model, DataFrame.LinearModel.Regression, DataFrame.LinearModel.Regression, DataFrame.LinearModel.Logistic, DataFrame.LinearModel.Logistic, DataFrame.LinearModel, DataFrame.LinearModel, DataFrame.GMM, DataFrame.GMM, DataFrame.DecisionTree.Model, DataFrame.DecisionTree.Model, DataFrame.DecisionTree, DataFrame.DecisionTree, DataFrame.DBSCAN, DataFrame.DBSCAN, DataFrame.Boosting.GBM, DataFrame.Boosting.GBM, DataFrame.Boosting.AdaBoost, DataFrame.Boosting.AdaBoost, DataFrame.Boosting, DataFrame.Boosting, DataFrame.SVM, DataFrame.SVM, DataFrame.SVM.RFF, DataFrame.SVM.RFF, DataFrame.SymbolicRegression, DataFrame.SymbolicRegression, DataFrame.Segmented, DataFrame.Segmented, DataFrame.Synthesis, DataFrame.Synthesis, DataFrame.PCA.Kernel, DataFrame.PCA.Kernel, DataFrame.PCA, DataFrame.PCA, DataFrame.KMeans, DataFrame.KMeans, DataFrame.Learn, DataFrame.Learn |
| mse | DataFrame.Metrics, DataFrame.Learn |
| MutualInformation | DataFrame.Synthesis, DataFrame.Learn |