Man pages for frbl/OnlineSuperLearner
Online SuperLearner package
| ConditionalDensityEvaluator | ConditionalDensityEvaluator |
| ConstrainedGlm.fit | Constrained logistic regression In this function we create a... |
| ConstrainedGlm.fit_new_glm | Fit a new GLM In this function we create a new instance a... |
| ConstrainedGlm.predict | Predict using a constrained glm In this function we predict... |
| ConstrainedGlm.update_glm | Update Constrained logistic regression In this function we... |
| CrossValidationRiskCalculator | CrossValidationRiskCalculator |
| Data.Base | Data.Base |
| DataCache | DataCache |
| DataSplitter | DataSplitter |
| Data.Static | Data.Static |
| Data.Stream | Data.Stream |
| Data.Stream.Simulator | Data.Stream.Simulator |
| DensityEstimation | DensityEstimation |
| DensityEstimation.are_all_estimators_online | Static method to check whether all included estimators are in... |
| Evaluation.accuracy | Evaluation.Accuracy |
| Evaluation.get_evaluation_function | Evaluation |
| Evaluation.log_likelihood_loss | Evaluation.log_likelihood_loss |
| Evaluation.log_loss | Evaluation.log_loss |
| Evaluation.mean_squared_error | Evaluation.mean_squared_error |
| Evaluation.mse_loss | Evaluation.mse_loss |
| Evaluation.root_mean_squared_error | Evaluation.root_mean_squared_error |
| fit.OnlineSuperLearner | fit.OnlineSuperLearner |
| generalImports | General packages used by all of the other classes |
| get_file_location | Returns the file location for both windows and linux |
| get_looping_function | Returns the looping function to use |
| H2O.Available | H2O.Available |
| H2O.Initializer | H2O.Initializer |
| H2O.Interactor | H2O.Interactor |
| InterventionEffectCalculator | InterventionEffectCalculator |
| InterventionParser.first_intervention | InterventionParser.first_intervention |
| InterventionParser.generate_intervention | InterventionParser.generate_intervention |
| InterventionParser.is_current_node_treatment | InterventionParser.is_current_node_treatment |
| InterventionParser.parse_intervention | InterventionParser.parse_intervention |
| InterventionParser.valid_intervention | InterventionParser.valid_intervention |
| is.a | Checks whether an object is an instance of the provided class |
| LibraryFactory | LibraryFactory |
| ML.Base | ML.Base |
| ML.GLMnet | ML.GLMnet |
| ML.H2O | ML.H2O |
| ML.H2O.gbm | ML.H2O.gbm |
| ML.H2O.glm | ML.H2O.glm |
| ML.H2O.randomForest | ML.H2O.randomForest |
| ML.Local.lm | ML.Local.lm |
| ML.NeuralNet | ML.NeuralNet |
| ML.randomForest | ML.randomForest |
| ML.SpeedGLMSGD | ML.SpeedGLMSGD |
| ML.SVM | ML.SVM |
| ML.XGBoost | ML.XGBoost |
| OneStepEstimator | OneStepEstimator |
| OnlineSuperLearner | OnlineSuperLearner |
| OnlineSuperLearner.Predict | OnlineSuperLearner.Predict |
| OnlineSuperLearner.SampleIteratively | OnlineSuperLearner.SampleIteratively |
| OutputPlotGenerator.create_convergence_plot | OutputPlotGenerator.create_convergence_plot |
| OutputPlotGenerator.create_density_plot | OutputPlotGenerator.create_density_plot |
| OutputPlotGenerator.create_risk_plot | OutputPlotGenerator.create_risk_plot |
| OutputPlotGenerator.create_training_curve | OutputPlotGenerator.create_training_curve |
| OutputPlotGenerator.export_key_value | OutputPlotGenerator.export_key_value |
| OutputPlotGenerator.get_colors | OutputPlotGenerator.get_colors |
| OutputPlotGenerator.get_simple_colors | OutputPlotGenerator.get_simple_colors |
| OutputPlotGenerator.store_oos_osl_difference | OutputPlotGenerator.store_oos_osl_difference |
| predict.OnlineSuperLearner | predict.OnlineSuperLearner |
| PreProcessor | PreProcessor |
| PreProcessor.generate_bounds | Static function |
| RelevantVariable | RelevantVariable |
| RelevantVariable.find_ordering | Algorithm to find a possible ordering of the functions. The... |
| sampledata.OnlineSuperLearner | sampledata.OnlineSuperLearner |
| Simulator.GAD | Simulator.GAD |
| Simulator.RunningExample | Simulator.RunningExample |
| Simulator.Simple | SimpleSimulator |
| Simulator.Slow | Simulator.Slow |
| SMG.Base | SMG.Base |
| SMGFactory | SMGFactory |
| SMG.Lag | SMG.Lag |
| SMG.Latest.Entry | SMG.Latest.Entry |
| SMG.Mean | SMG.Mean |
| SMG.Mock | SMG.Mock |
| SMG.Transformation | SMG.Transformation |
| SummaryMeasureGenerator | SummaryMeasureGenerator |
| summary.OnlineSuperLearner | summary.OnlineSuperLearner |
| WCC.CG | WCC.CG Constrained descent optimizer |
| WCC.NMBFGS | WCC.NMBFGS |
| WCC.NNLS | WCC.NNLS |
| WCC.SGD | WCC.SGD Stochastic gradient descent optimizer, based on the R... |
| WCC.SGD.Simplex | WCC.SGD.Simplex This is the SGD computer used in the Online... |
| WeightedCombinationComputer | WeightedCombinationComputer |
