Documentation
¶
Index ¶
- Variables
- func MakeFeature(transition, i int, feat interface{}) interface{}
- type AveragedModelStrategy
- type AvgMatrixSparse
- func (t *AvgMatrixSparse) Add(features interface{}) perceptron.Model
- func (t *AvgMatrixSparse) AddModel(m perceptron.Model)
- func (t *AvgMatrixSparse) AddSubtract(goldFeatures, decodedFeatures interface{}, amount int64)
- func (t *AvgMatrixSparse) Copy() perceptron.Model
- func (t *AvgMatrixSparse) Deserialize(data *AvgMatrixSparseSerialized)
- func (t *AvgMatrixSparse) IncrementGeneration()
- func (t *AvgMatrixSparse) Integrate()
- func (t *AvgMatrixSparse) Make(dense bool) perceptron.Model
- func (t *AvgMatrixSparse) New() perceptron.Model
- func (t *AvgMatrixSparse) ScalarDivide(val int64)
- func (t *AvgMatrixSparse) Score(features interface{}) int64
- func (t *AvgMatrixSparse) Serialize(generation int) *AvgMatrixSparseSerialized
- func (t *AvgMatrixSparse) SetTransitionScores(features []Feature, scores ScoredStore, integrated bool)
- func (t *AvgMatrixSparse) String() string
- func (t *AvgMatrixSparse) Subtract(features interface{}) perceptron.Model
- func (t *AvgMatrixSparse) TransitionScore(transition transition.Transition, features []Feature) int64
- type AvgMatrixSparseSerialized
- type Interface
- type TransitionClassifier
Constants ¶
This section is empty.
Variables ¶
View Source
var AllOut bool = false
Functions ¶
func MakeFeature ¶
func MakeFeature(transition, i int, feat interface{}) interface{}
Types ¶
type AveragedModelStrategy ¶
type AveragedModelStrategy struct {
P, N int
// contains filtered or unexported fields
}
func (*AveragedModelStrategy) Finalize ¶
func (u *AveragedModelStrategy) Finalize(m perceptron.Model) perceptron.Model
func (*AveragedModelStrategy) Init ¶
func (u *AveragedModelStrategy) Init(m perceptron.Model, iterations int)
func (*AveragedModelStrategy) Update ¶
func (u *AveragedModelStrategy) Update(m perceptron.Model)
type AvgMatrixSparse ¶
type AvgMatrixSparse struct {
Mat []*AvgSparse
Features, Generation int
Formatters []util.Format
Log bool
Extractor *transition.GenericExtractor
}
func NewAvgMatrixSparse ¶
func NewAvgMatrixSparse(features int, formatters []util.Format, dense bool) *AvgMatrixSparse
func (*AvgMatrixSparse) Add ¶
func (t *AvgMatrixSparse) Add(features interface{}) perceptron.Model
func (*AvgMatrixSparse) AddModel ¶
func (t *AvgMatrixSparse) AddModel(m perceptron.Model)
func (*AvgMatrixSparse) AddSubtract ¶
func (t *AvgMatrixSparse) AddSubtract(goldFeatures, decodedFeatures interface{}, amount int64)
func (*AvgMatrixSparse) Copy ¶
func (t *AvgMatrixSparse) Copy() perceptron.Model
func (*AvgMatrixSparse) Deserialize ¶
func (t *AvgMatrixSparse) Deserialize(data *AvgMatrixSparseSerialized)
func (*AvgMatrixSparse) IncrementGeneration ¶
func (t *AvgMatrixSparse) IncrementGeneration()
func (*AvgMatrixSparse) Integrate ¶
func (t *AvgMatrixSparse) Integrate()
func (*AvgMatrixSparse) Make ¶
func (t *AvgMatrixSparse) Make(dense bool) perceptron.Model
func (*AvgMatrixSparse) New ¶
func (t *AvgMatrixSparse) New() perceptron.Model
func (*AvgMatrixSparse) ScalarDivide ¶
func (t *AvgMatrixSparse) ScalarDivide(val int64)
func (*AvgMatrixSparse) Score ¶
func (t *AvgMatrixSparse) Score(features interface{}) int64
func (*AvgMatrixSparse) Serialize ¶
func (t *AvgMatrixSparse) Serialize(generation int) *AvgMatrixSparseSerialized
func (*AvgMatrixSparse) SetTransitionScores ¶
func (t *AvgMatrixSparse) SetTransitionScores(features []Feature, scores ScoredStore, integrated bool)
func (*AvgMatrixSparse) String ¶
func (t *AvgMatrixSparse) String() string
func (*AvgMatrixSparse) Subtract ¶
func (t *AvgMatrixSparse) Subtract(features interface{}) perceptron.Model
func (*AvgMatrixSparse) TransitionScore ¶
func (t *AvgMatrixSparse) TransitionScore(transition transition.Transition, features []Feature) int64
type Interface ¶
type Interface interface {
perceptron.Model
TransitionScore(transition Transition, features []Feature) int64
}
type TransitionClassifier ¶
type TransitionClassifier func(transition.Transition) string
Source Files
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