Man pages for PauloCirino/MLAT
Machine Learning Automated Software
| Accuracy | Accuracy |
| AUC | AUC |
| BinClassMetrics | BinClassMetricsNames |
| BinClassMetricsNames | Binary Classification Metrics |
| BinMatrix2Vector | Matrix of Dummies to Vector |
| CoefficientVariationRootMeanSquaredError | Coefficient of Variation Root Mean Square Error |
| CreateAlgo | Create Algorithm |
| CreateDataSet | Create DataSet |
| ExplainedVarianceScore | Explained Variance Score |
| factor2BinMatrix | Factor Vector to Binary matrix of dummies |
| GetAllBinClassAlgo | Generates all Binary Classification Alogrithms |
| GetAllMultClassAlgo | Generates all MultClass Classification Alogrithms |
| GetAllRegressionAlgo | Generates all Regression Alogrithms |
| GetData | Get DataSet by name |
| GetDataSetsNames | Get Datasets Names |
| GetMetrics | Get Metrics |
| GetPossibleTasks | Get Possible Tasks |
| hypotessesTesting | Hypoteses Testing |
| knn | K Nearest Neighbours |
| linear_regression | Linear Regression |
| LogLoss | LogLoss |
| MeanAbsoluteError | Mean Absolute Error |
| MeanError | Mean Error |
| MeanSquaredError | Mean Square Error |
| MedianAbsoluteError | Median Absolute Error |
| MLP_classification | Multilayer Perceptron |
| MLP_regression | Multilayer Perceptron |
| MultClassMetrics | MultClassMetrics |
| MultiClassMetricsNames | Multi Class Classification Metrics |
| MultiLogLoss | MultiLogLoss |
| NormalizedRootMeanSquaredError | Normalized Root Mean Square Error |
| R2 | Coefficient of Determination - R2 |
| ReduceResults | Reduce Results |
| RegMetrics | Regression Metrics |
| RegressionMetricsNames | Regression Metrics |
| ridge_regression | Ridge Regression |
| RootMeanSquaredError | Root Mean Square Error |
| RunSingleTest | Run Single Test |
| RunTests | Run Tests |
| squareConfusionTable | Square Confusion Matrix |
| svm_linear | Linear Support Vector Machines |
| svm_poli | Support Vector Machines with Polinomial Kernel |
| svm_radial | Support Vector Machines with Radial Kernel |
