indecis

package module

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Versions in this module

v0

v0.10.0

Nov 8, 2026

Changes in this version

+ func Truncate(v []float32, dim int) []float32

type Info

+ Prompts map[string]string

type Model

+ func (m *Model) Dimension() int

+ func (m *Model) EmbedDocuments(ctx context.Context, texts ...string) ([][]float32, error)

+ func (m *Model) EmbedQueries(ctx context.Context, texts ...string) ([][]float32, error)

+ func (m *Model) MaxLen() int

+ func (m *Model) SearchBatches(pairs []SearchPair, size int, seed int64) []ChoiceBatch

+ type SearchPair struct

+ Document string

+ DocumentID string

+ Negatives []string

+ Query string

+ QueryID string

v0.9.0

Oct 31, 2026

v0.8.0

Oct 28, 2026

v0.7.0

Oct 22, 2026

v0.6.0

Oct 21, 2026

v0.5.0

Oct 18, 2026

Changes in this version

type Model

+ func (m *Model) PruneMLP(ctx context.Context, texts []string, keep int) error

+ func (m *Model) SetTemperatures(temps map[string]float64) error

type TrainOptions

+ Distill float64

+ DistillHidden float64

+ DistillTemp float64

+ Teacher *Model

v0.4.0

Oct 6, 2026

Changes in this version

+ const MaxSpanTypes

type Answer

+ Spans []Span

type Kind

+ const Spans

type Metrics

+ F2 float64

+ Types []SpanMetrics

type Model

+ func (m *Model) SetSpanBias(question string, bias float64)

type Option

+ func WithSpanBias(question string, bias float64) Option

type Question

+ func NewSpans(name, instructions string, types ...string) Question

+ type Span struct

+ Confidence float64

+ End int

+ Start int

+ Text string

+ Type string

+ type SpanMetrics struct

+ F1 float64

+ F2 float64

+ Found int

+ Gold int

+ Precision float64

+ Recall float64

+ Type string

v0.3.0

Oct 1, 2026

Changes in this version

type Question

+ func (q Question) Target(v any) (t []float64, ok bool, err error)

v0.2.0

Sep 28, 2026

Changes in this version

+ type Hardware struct

+ AVX2FMA bool

+ AVXVNNI bool

+ Arch string

+ Assembly bool

+ SIMD bool

+ SIMDEmulated bool

+ VectorBits int

+ func DetectHardware() Hardware

v0.1.0

Sep 28, 2026

Changes in this version

+ const DefaultEmbedScale

+ const NoulAnchor

+ func CandidateContext(c Candidate) string

+ func CandidatePairs(question, text string, correct Candidate, others []Candidate) []dataset.Example

+ type Answer struct

+ Choice string

+ Confidence float64

+ Kind Kind

+ Margin float64

+ P float64

+ Probs map[string]float64

+ Question string

+ Score float64

+ type Candidate struct

+ Description string

+ Examples []string

+ Name string

+ type CandidateSet struct

+ func (s *CandidateSet) Candidates() []Candidate

+ type ChoiceBatch struct

+ Candidates []Candidate

+ Correct [][]int

+ Texts []string

+ func ChoiceBatches(examples []dataset.Example, questions []OpenQuestion, size int, seed int64) []ChoiceBatch

+ type Decision map[string]Answer

+ type Info struct

+ Backbone string

+ EmbedScale float64

+ Steps int

+ TrainPrior map[string]float64

+ type Input struct

+ Context string

+ Text string

+ type Kind string

+ const Choice

+ const Noul

+ const Score

+ type Metrics struct

+ AUC float64

+ Accuracy float64

+ Brier float64

+ ECE float64

+ F1 float64

+ Kind Kind

+ MAE float64

+ MacroF1 float64

+ N int

+ NLL float64

+ Precision float64

+ Question string

+ Recall float64

+ func (mt Metrics) String() string

+ type Model struct

+ func Load(dir string, opts ...Option) (*Model, error)

+ func New(backboneDir string, schema Schema, seed int64, opts ...Option) (*Model, error)

+ func Open(dir string, opts ...Option) (*Model, error)

+ func (m *Model) Calibrate(ctx context.Context, examples []dataset.Example) (map[string]float64, error)

+ func (m *Model) ChooseAmong(ctx context.Context, question string, candidates []Candidate, texts ...string) ([]Answer, error)

+ func (m *Model) ChooseIn(ctx context.Context, set *CandidateSet, texts ...string) ([]Answer, error)

+ func (m *Model) ChooseNearest(ctx context.Context, candidates []Candidate, texts ...string) ([]Answer, error)

+ func (m *Model) Decide(ctx context.Context, texts ...string) ([]Decision, error)

+ func (m *Model) DecideInputs(ctx context.Context, inputs ...Input) ([]Decision, error)

+ func (m *Model) DecideOpen(ctx context.Context, questions []OpenQuestion, texts ...string) ([]Decision, error)

+ func (m *Model) Embed(ctx context.Context, texts ...string) ([][]float32, error)

+ func (m *Model) Evaluate(ctx context.Context, examples []dataset.Example) ([]Metrics, error)

+ func (m *Model) Fit(ctx context.Context, examples []dataset.Example, opts TrainOptions) error

+ func (m *Model) FitEmbeddings(ctx context.Context, batches []ChoiceBatch, opts TrainOptions) error

+ func (m *Model) Info() Info

+ func (m *Model) Logits(ctx context.Context, texts ...string) ([]map[string][]float64, error)

+ func (m *Model) LogitsInputs(ctx context.Context, inputs ...Input) ([]map[string][]float64, error)

+ func (m *Model) Paired() bool

+ func (m *Model) PrepareCandidates(ctx context.Context, candidates []Candidate) (*CandidateSet, error)

+ func (m *Model) PruneVocabulary(corpus []Input, minCount int) (PruneStats, error)

+ func (m *Model) Save(dir string) error

+ func (m *Model) Schema() Schema

+ func (m *Model) Temperatures() map[string]float64

+ func (m *Model) TokenIDs(in Input) ([]int32, error)

+ func (m *Model) Tokens(in Input) (int, error)

+ type OpenQuestion struct

+ Instructions string

+ Kind Kind

+ Name string

+ Options []Candidate

+ func OpenNoul(name, instructions string) OpenQuestion

+ func (q OpenQuestion) OptionIndex(v any) int

+ type Option func(*Model)

+ func WithBatching(workers, maxRows int) Option

+ func WithEmbedCache(n int) Option

+ func WithInt8() Option

+ func WithInt8Embeddings() Option

+ func WithMaxLen(n int) Option

+ func WithPairs() Option

+ func WithThreads(n int) Option

+ type Progress struct

+ Elapsed time.Duration

+ Epoch int

+ LR float64

+ Loss float64

+ Step int

+ Steps int

+ Tokens int

+ type PruneStats struct

+ After int

+ Before int

+ type Question struct

+ Instructions string

+ Kind Kind

+ Name string

+ Options []string

+ func NewChoice(name, instructions string, options ...string) Question

+ func NewNoul(name, instructions string) Question

+ func NewScore(name, instructions string, levels ...string) Question

+ type Schema []Question

+ func (s Schema) Index(name string) int

+ func (s Schema) Validate() error

+ type TrainOptions struct

+ BatchSize int

+ ClipNorm float64

+ Dropout float64

+ Epochs int

+ HeadLR float64

+ LR float64

+ Progress func(Progress)

+ Seed int64

+ Symmetric bool

+ Warmup float64

+ WeightDecay float64

+ func DefaultTrainOptions() TrainOptions

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