Package index • vistool

All functions

hypothesis(): Hypothesis wrapper for functional models
LossFunction: Loss function
Objective: Objective function
Optimizer: Optimizer class
OptimizerGD: Gradient descent optimizer
OptimizerMomentum: Momentum optimizer
OptimizerNAG: Nesterovs momentum optimizer
Visualizer: Base visualizer class
VisualizerLossFuns: Visualizer for loss functions
VisualizerModel: Visualize model (unified 1D/2D)
VisualizerObj: Visualize objective (unified 1D/2D)
VisualizerSurface: Visualize 2D functions as interactive surfaces
VisualizerSurfaceModel: Visualize model as interactive surface
VisualizerSurfaceObj: Visualize objective as interactive surface
as.data.table(<DictionaryLoss>): Convert dictionary to data table
as_visualizer(): Convert to visualizer
assert_step_size_control(): Assertion for the main signature of a step_size_controlXX function.
dict_loss: Dictionary of loss functions
dict_objective: Objective dictionary
get_continuous_colorscale(): Get continuous colorscale for surface plots
get_vistool_color(): Get consistent color from discrete palette
lss(): Retrieve loss function
merge_optim_archives(): Merge optimization archives
mlr_learners_regr.lm_formula LearnerRegrLMFormula: Linear model regression learner with formula
obj(): Retrieve objective functions
objective_linear(): Linear regression objective
objective_logistic(): Logistic regression objective
objective_transform() objective_transform_identity() objective_transform_log(): Objective transformations
step_size_control_decay_exp(): Conduct exponential decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
step_size_control_decay_linear(): Conduct linear decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
step_size_control_decay_steps(): Conduct a step-wise decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
step_size_control_decay_time(): Conduct time decay to adjust the update. See https://neptune.ai/blog/how-to-choose-a-learning-rate-scheduler
step_size_control_line_search(): Conduct line search in each iteration to adjust the update.
vistool_theme(): vistool theming utilities