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url: https://dials.tidymodels.org/
template:
package: tidytemplate
bootstrap: 5
bslib:
primary: "#CA225E"
includes:
in_header: |
<script src="https://cdn.jsdelivr.net/gh/posit-dev/supported-by-posit/js/badge.min.js" data-max-height="43" data-light-bg="#666f76" data-light-fg="#f9f9f9"></script>
<!-- Privacy-friendly analytics by Plausible -->
<script async src="https://plausible.io/js/pa-Z4rJTakE7-5KMUMpvkUsk.js"></script>
<script>
window.plausible=window.plausible||function(){(plausible.q=plausible.q||[]).push(arguments)},plausible.init=plausible.init||function(i){plausible.o=i||{}};
plausible.init()
</script>
development:
mode: auto
figures:
fig.width: 8
fig.height: 5.75
navbar:
components:
articles:
text: Articles
menu:
- text: How to create a tuning parameter function
href: https://www.tidymodels.org/learn/develop/parameters/
reference:
- title: Parameter sets
contents:
- parameters
- update.parameters
- range_validate
- starts_with("value_")
- title: Grid creation
contents:
- starts_with("grid_")
- title: Parameter objects for preprocessing
contents:
- all_neighbors
- freq_cut
- harmonic_frequency
- initial_umap
- max_times
- max_tokens
- min_dist
- min_times
- min_unique
- num_breaks
- num_hash
- num_runs
- num_tokens
- over_ratio
- prior_slab_dispersion
- prop_terms
- token
- trim_amount
- validation_set_prop
- vocabulary_size
- weight
- weight_scheme
- window_size
- title: Parameter objects for modeling
contents:
- activation
- adjust_deg_free
- class_weights
- cost
- deg_free
- degree
- dist_power
- dropout
- Laplace
- learn_rate
- mixture
- momentum
- mtry
- mtry_prop
- neighbors
- num_clusters
- num_comp
- num_estimators
- num_knots
- ordinal_link
- penalty
- predictor_prop
- prune_method
- starts_with("rate_")
- rbf_sigma
- regularization_method
- select_features
- smoothness
- stop_iter
- summary_stat
- surv_dist
- survival_link
- target_weight
- threshold
- trees
- weight_func
- title: Parameter objects for specific model engines
contents:
- attention-param
- bart-param
- conditional_min_criterion
- confidence_factor
- extrapolation
- l2_leaf_reg
- max_nodes
- max_num_terms
- num_leaves
- regularization_factor
- resnet-param
- rln-param
- rule_bands
- scale_pos_weight
- shrinkage_correlation
- title: Parameter objects for post-processing
contents:
- buffer
- range_limits
- contains("cal_method")
- title: Finalizing parameters
contents:
- finalize
- title: Developer tools
contents:
- encode_unit
- new_quant_param
- parameters_constr
- unknown