Package index
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LossFunction - Loss Function
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Objective - Objective function
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Optimizer - Optimizer class
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OptimizerGD - Gradient descent optimizer
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OptimizerMomentum - Momentum optimizer
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OptimizerNAG - Nesterovs momentum optimizer
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Visualizer - Base Visualizer Class
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VisualizerLossFuns - Visualizer for Loss Functions
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VisualizerModel - Visualize Model (Unified 1D/2D)
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VisualizerObj - Visualize Objective (Unified 1D/2D)
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VisualizerSurface - Visualize 2D Functions as Interactive Surfaces
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VisualizerSurfaceModel - Visualize Model as Interactive Surface
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VisualizerSurfaceObj - Visualize Objective as Interactive Surface
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as.data.table(<DictionaryLoss>) - Convert Dictionary to Data Table
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as_visualizer() - Convert to visualizer
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assertStepSizeControl() - Assertion for the main signature of a `stepSizeControlXX` function.
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dict_loss - Dictionary of Loss Functions
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dict_objective - Dictionary for test functions
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get_continuous_colorscale() - Get continuous colorscale for surface plots
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get_vistool_color() - Get consistent color from discrete palette
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lss() - Retrieve Loss Function
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mergeOptimArchives() - Merge optimization archives
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mlr_learners_regr.lm_formulaLearnerRegrLMFormula - Linear Model Regression Learner with Formula
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obj() - Retrieve Objective Functions
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stepSizeControlDecayExp() - Conduct exponential decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
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stepSizeControlDecayLinear() - Conduct linear decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
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stepSizeControlDecaySteps() - Conduct a step-wise decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
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stepSizeControlDecayTime() - Conduct time decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
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stepSizeControlLineSearch() - Conduct line search in each iteration to adjust the update.
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vistool_theme() - vistool theming utilities