<div class="section-label"><span class="num">03</span> Allowed values</div>
<div class="section-title">Named <em>choices</em> you can pass.</div>
Each options setting below has a closed list of values it can accept, for example <span class="mono">censor_type</span> may specify <span class="mono">relevance</span>, <span class="mono">similarity</span>, or <span class="mono">both</span>. Definitions and defaults are on [[Settings/Options|Options]].
<p> </p>
## Censoring
| Setting | Names |
| --- | --- |
| <span class="mono">censor_type</span> | <span class="mono">relevance</span> · <span class="mono">similarity</span> · <span class="mono">both</span> |
| <span class="mono">censor_unit</span> | <span class="mono">score</span> · <span class="mono">percent</span> |
| <span class="mono">censor_operator</span> | <span class="mono">gt</span> · <span class="mono">lt</span> · <span class="mono">gte</span> · <span class="mono">lte</span> |
Predict accepts <span class="mono">relevance</span> or <span class="mono">similarity</span>. MaxFit and Grid also accept <span class="mono">both</span>.
## Scale and numerics
| Setting | Names |
| --- | --- |
| <span class="mono">prediction_scale</span> | <span class="mono">response</span> · <span class="mono">logistic</span> |
| <span class="mono">adj_fit_multiplier</span> | <span class="mono">identity</span> · <span class="mono">K</span> · <span class="mono">log</span> |
| <span class="mono">inv_method</span> | <span class="mono">gaussian</span> · <span class="mono">cholesky</span> · <span class="mono">pseudoinverse</span> |
## MaxFit and Grid
| Setting | Names |
| --- | --- |
| MaxFit <span class="mono">objective</span> | <span class="mono">fit</span> · <span class="mono">adjusted_fit</span> · <span class="mono">kfit</span> |
| <span class="mono">inner_parallel</span> | <span class="mono">auto</span> · <span class="mono">off</span> (<span class="mono">sequential</span> is the same as <span class="mono">off</span>) |
| Flags (<span class="mono">verify_missing_data</span>, <span class="mono">include_linear_regression</span>, <span class="mono">verbose</span>) | on / off |
## Grid retain
The default is a lean Prediction Results class object. To keep per-cell tables, set <span class="mono">retain_grid_objects</span> to a comma-separated list of the keys you will read.
Keys: <span class="mono">yhat_cells</span>, <span class="mono">adjusted_fit_cells</span>, <span class="mono">n_cells</span>, <span class="mono">weights_cells</span>, <span class="mono">k_cells</span>, <span class="mono">combi_cells</span>, <span class="mono">ysolo_distribution</span>
What each key unlocks: [[Settings/Options#Retain grid objects|Retain grid objects]].
## Percentile algorithm
When <span class="mono">censor_unit</span> is <span class="mono">percent</span>, a session-wide percentile method also applies. It is not a field on PredictOptions, MaxFitOptions, or GridOptions.
| Name | Meaning |
| --- | --- |
| <span class="mono">full_sort</span> | Full sort of the scores |
| <span class="mono">order_statistics</span> | Nth-order statistic |
> [!note]- Native / low-level codes
> Native integrations may also accept integer codes for the same choices. In Python and R, use the string names above. For C / FFI bindings, treat the public header as the contract: [[Install/Native Runtime|Native Runtime]] · [C ABI on GitHub](https://github.com/CambridgeSportsAnalytics/rbp-math-c-abi).
<div class="btn-row center">
<a class="btn-primary" href="/Settings/Options">Options</a>
<a class="btn-ghost" href="/Functions/Overview">Functions</a>
</div>