tof_find_best: Find the optimal hyperparameters for an elastic net model...
In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles
View source: R/modeling_helpers.R
tof_find_best R Documentation
Find the optimal hyperparameters for an elastic net model from candidate performance metrics
Description
Find the optimal hyperparameters for an elastic net model from candidate performance metrics
Usage
tof_find_best(performance_metrics, model_type, optimization_metric)
Arguments
performance_metrics
A tibble of performance metrics for an elastic
net model (in wide format)
model_type
A string indicating which type of glmnet model was trained.
optimization_metric
A string indicating which performance metric should
be used to select the optimal model.
Value
A tibble with 3 columns: "mixture", "penalty", and a column containing
the chosen optimization metric. If the returned tibble has more than 1 column,
it means that more than 1 mixture/penalty combination yielded the optimal
result (i.e. the tuning procedure resulted in a tie).
keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.
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View source: R/modeling_helpers.R
| tof_find_best | R Documentation |
Find the optimal hyperparameters for an elastic net model from candidate performance metrics
Description
Find the optimal hyperparameters for an elastic net model from candidate performance metrics
Usage
tof_find_best(performance_metrics, model_type, optimization_metric)
Arguments
performance_metrics |
A tibble of performance metrics for an elastic net model (in wide format) |
model_type |
A string indicating which type of glmnet model was trained. |
optimization_metric |
A string indicating which performance metric should be used to select the optimal model. |
Value
A tibble with 3 columns: "mixture", "penalty", and a column containing the chosen optimization metric. If the returned tibble has more than 1 column, it means that more than 1 mixture/penalty combination yielded the optimal result (i.e. the tuning procedure resulted in a tie).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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