Function reference
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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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Visualizer1D - Visualize Base Class
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Visualizer1DModel - Visualize Model
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Visualizer1DObjective - Visualize Objective
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Visualizer2D - Visualize Base Class
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Visualizer2DModel - Visualize Model
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Visualizer2DObjective - Visualize Objective
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VisualizerLossFunction - Visualize Loss Function
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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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colSampler() - Randomly generate colors
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dict_loss - Dictionary of Loss Functions
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dict_objective - Dictionary for test functions
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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.