parameter
P12016
predicate
Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
All labels observed (32)
| Label | Occurrences |
|---|---|
| parameter canonical | 309 |
| parameterType | 60 |
| hyperparameter | 55 |
| inputParameter | 37 |
| definesParameter | 32 |
| acceptsParameter | 23 |
| configurableParameter | 12 |
| involvesParameter | 11 |
| constructorParameter | 9 |
| parameterDependsOn | 9 |
| methodParameter | 8 |
| controlsParameter | 7 |
| parameterSpace | 7 |
| parameterization | 7 |
| isParameterOf | 5 |
| parameterOf | 5 |
| introducesParameter | 4 |
| parameterIncludes | 4 |
| callbackParameter | 2 |
| parameterNotation | 2 |
| parameterSymbol | 2 |
| takesParameter | 2 |
| factorParameter | 1 |
| interactionParameter | 1 |
| parameterKind | 1 |
| parameter_b | 1 |
| parameter_r | 1 |
| parameter_w | 1 |
| registerParameter | 1 |
| regularizationParameter | 1 |
| shiftParameter | 1 |
| thresholdParameter | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: parameter
Generated description
Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
Sample triples (622)
| Subject | Object |
|---|---|
| Vogel spiral | c (radial scaling constant) ⓘ |
| Vogel spiral | α (divergence angle) ⓘ |
| Titius–Bode law | n integer index for planetary order ⓘ |
| Sobolev spaces | order k of differentiation ⓘ |
| Sobolev spaces | integrability exponent p ⓘ |
| Sobolev spaces | domain Ω ⓘ |
|
Pipeline
surface form:
Pipeline (scikit-learn)
|
steps ⓘ |
|
Pipeline
surface form:
Pipeline (scikit-learn)
|
memory ⓘ |
|
Pipeline
surface form:
Pipeline (scikit-learn)
|
verbose ⓘ |
| ST_Buffer | input geometry via predicate surface "inputParameter" ⓘ |
| ST_Buffer | buffer distance via predicate surface "inputParameter" ⓘ |
| ST_Buffer | optional number of segments per quarter circle via predicate surface "inputParameter" ⓘ |
| ST_Buffer | optional end cap style via predicate surface "inputParameter" ⓘ |
| ST_Buffer | optional join style via predicate surface "inputParameter" ⓘ |
| ST_Buffer | optional mitre limit via predicate surface "inputParameter" ⓘ |
| ST_Buffer | optional side selection via predicate surface "inputParameter" ⓘ |
| XGBoost | learning_rate via predicate surface "hyperparameter" ⓘ |
| XGBoost | max_depth via predicate surface "hyperparameter" ⓘ |
| XGBoost | n_estimators via predicate surface "hyperparameter" ⓘ |
| XGBoost | subsample via predicate surface "hyperparameter" ⓘ |
| XGBoost | colsample_bytree via predicate surface "hyperparameter" ⓘ |
| XGBoost | gamma via predicate surface "hyperparameter" ⓘ |
| XGBoost | lambda via predicate surface "hyperparameter" ⓘ |
| XGBoost | alpha via predicate surface "hyperparameter" ⓘ |
| SparseMatrixCSC | Tv ⓘ |
| SparseMatrixCSC | Ti ⓘ |
|
Poisson distribution has P(s) = e^{-s}
surface form:
Poisson distribution with P(s) = e^{-s}
|
rate λ = 1 ⓘ |
| Gaussian unitary ensemble | matrix size N ⓘ |
| Gaussian unitary ensemble | variance parameter of Gaussian entries ⓘ |
| VOCSegmentation | root ⓘ |
| VOCSegmentation | year ⓘ |
| VOCSegmentation | image_set ⓘ |
| VOCSegmentation | download ⓘ |
| VOCSegmentation | transform ⓘ |
| VOCSegmentation | target_transform ⓘ |
| VOCSegmentation | transforms ⓘ |
| VOCSegmentation | root: str via predicate surface "parameterType" ⓘ |
| VOCSegmentation | year: str via predicate surface "parameterType" ⓘ |
| VOCSegmentation | image_set: str via predicate surface "parameterType" ⓘ |
| VOCSegmentation | download: bool via predicate surface "parameterType" ⓘ |
| VOCSegmentation | transform: callable or None via predicate surface "parameterType" ⓘ |
| VOCSegmentation | target_transform: callable or None via predicate surface "parameterType" ⓘ |
| VOCSegmentation | transforms: callable or None via predicate surface "parameterType" ⓘ |
| KeypointRCNN | number of keypoints via predicate surface "hyperparameter" ⓘ |
| KeypointRCNN | image size via predicate surface "hyperparameter" ⓘ |
| KeypointRCNN | RPN anchor sizes via predicate surface "hyperparameter" ⓘ |
| KeypointRCNN | RPN anchor aspect ratios via predicate surface "hyperparameter" ⓘ |
| randomForest | ntree via predicate surface "hyperparameter" ⓘ |
| randomForest | mtry via predicate surface "hyperparameter" ⓘ |
| randomForest | nodesize via predicate surface "hyperparameter" ⓘ |