| biogeme_control | R Documentation |
Unspecified fields are omitted so native Biogeme defaults remain in force. Additional named arguments are passed through to the native bridge.
biogeme_control(
model_name = NULL,
output_directory = NULL,
seed = NULL,
numerically_safe = NULL,
second_derivatives = NULL,
second_derivatives_percentage = NULL,
optimization_algorithm = NULL,
number_of_draws = NULL,
draw_type = NULL,
draw_seed = NULL,
bootstrap_samples = NULL,
user_notes = NULL,
variance_covariance_type = NULL,
save_iterations = NULL,
generate_html = NULL,
generate_yaml = NULL,
validation_folds = NULL,
...
)
model_name |
Optional native Biogeme model name. |
output_directory |
Optional explicit directory for native files. It is required whenever a control requests native HTML, YAML, NetCDF, pickle, or iteration output; no operation writes to the working directory by default. |
seed |
Optional random seed. |
numerically_safe |
Optional numerical-safety flag. |
second_derivatives |
Optional second-derivative policy. |
second_derivatives_percentage |
Optional native percentage of iterations using analytical second derivatives. |
optimization_algorithm |
Optional native algorithm name. |
number_of_draws |
Optional number of simulation draws. |
draw_type |
Optional default draw type metadata. |
draw_seed |
Optional draw seed (mapped to native |
bootstrap_samples |
Optional bootstrap sample count. |
user_notes |
Optional notes included in native reports/results. |
variance_covariance_type |
Optional result covariance selection, such
as |
save_iterations |
Optional iteration-file persistence flag. |
generate_html |
Optional HTML-report flag. |
generate_yaml |
Optional YAML-report flag. |
validation_folds |
Optional validation-fold count. |
... |
Additional native Biogeme controls. |
Unspecified values are omitted. This lets native Biogeme apply its normal defaults. The control object can be stored in a model or passed to an estimation or simulation operation; it is not a Python object.
A named list of controls.
biogeme_control(
seed = 1234,
generate_html = FALSE,
generate_yaml = FALSE,
save_iterations = FALSE
)
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