trainingObjective
P12747
predicate
Indicates the goal or target outcome that a training process is designed to achieve.
All labels observed (13)
| Label | Occurrences |
|---|---|
| trainingObjective canonical | 84 |
| optimizationObjective | 19 |
| trainingGoal | 12 |
| lossFunction | 10 |
| hasTrainingObjective | 8 |
| usesTrainingObjective | 8 |
| pretrainingObjective | 6 |
| learningObjective | 5 |
| trainingTarget | 5 |
| VAEObjective | 1 |
| goalOfTraining | 1 |
| supportsTrainingObjective | 1 |
| trainingCriterion | 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: trainingObjective
Generated description
Indicates the goal or target outcome that a training process is designed to achieve.
Sample triples (161)
| Subject | Object |
|---|---|
| ImageNet CNN | image classification on ImageNet via predicate surface "hasTrainingObjective" ⓘ |
| Show, Attend and Tell | maximum likelihood estimation via predicate surface "usesTrainingObjective" ⓘ |
| Prototypical Networks | learn embedding where examples cluster around class prototypes via predicate surface "learningObjective" ⓘ |
| Neural Turing Machines | sequence prediction loss via predicate surface "optimizationObjective" ⓘ |
| Neural Turing Machines | task-specific loss via predicate surface "optimizationObjective" ⓘ |
| word2vec | predict target word from context (CBOW) ⓘ |
| word2vec | predict context words from target word (Skip-gram) ⓘ |
| Efficient Estimation of Word Representations in Vector Space | predicting context words from target word ⓘ |
| Efficient Estimation of Word Representations in Vector Space | predicting target word from context words ⓘ |
| Wing Chun | reflexive response via predicate surface "trainingGoal" ⓘ |
| Wing Chun | simultaneous offense and defense via predicate surface "trainingGoal" ⓘ |