Index

A

accumulate (verdict.transform.MapUnit attribute) add() (verdict.schema.Schema method) api_base (verdict.model.vLLMModel attribute)

api_key (verdict.model.vLLMModel attribute) append() (verdict.schema.Schema class method) ArgmaxScoreExtractor (class in verdict.extractor)

B

Block (class in verdict)

block (verdict.Pipeline attribute) BooleanScale (class in verdict.scale)

C

char (verdict.Block property) (verdict.Layer property) (verdict.model.Model property) (verdict.model.ModelSelectionPolicy property) (verdict.Unit property) checkpoint() (verdict.Pipeline method) Client (class in verdict.model) ClientWrapper (class in verdict.model) clone() (verdict.Layer method) (verdict.Unit method) collect_outputs() (verdict.Pipeline method)

complete (verdict.model.Client attribute) Config (class in verdict.config) conform() (verdict.schema.Schema method) connection_parameters (verdict.model.Model property) (verdict.model.ProviderModel property) (verdict.model.vLLMModel property) CONTINUOUS (verdict.scale.ScaleType attribute) ContinuousScale (class in verdict.scale) copy() (verdict.Layer method) (verdict.Pipeline method) (verdict.Unit method) CustomExtractor (class in verdict.extractor)

D

data (verdict.Unit attribute) dataset (verdict.dataset.DatasetWrapper attribute) DatasetWrapper (class in verdict.dataset)

defaults() (verdict.model.Client method) description (verdict.Unit property) DISCRETE (verdict.scale.ScaleType attribute) DiscreteScale (class in verdict.scale)

E

empty() (verdict.schema.Schema class method) encode() (verdict.model.ClientWrapper method) escape() (verdict.schema.Schema method) execute() (verdict.transform.MapUnit method) (verdict.Unit method) executor (verdict.Pipeline attribute) extract() (verdict.extractor.ArgmaxScoreExtractor method) (verdict.extractor.CustomExtractor method) (verdict.extractor.Extractor method) (verdict.extractor.PostHocExtractor method) (verdict.extractor.RawExtractor method) (verdict.extractor.SampleScoreExtractor method) (verdict.extractor.StructuredOutputExtractor method) (verdict.extractor.TokenProbabilityExtractor method) (verdict.extractor.WeightedSummedScoreExtractor method)

extract_client_wrappers (verdict.extractor.PostHocExtractor attribute) extract_sections() (verdict.prompt.PromptRegistry static method) Extractor (class in verdict.extractor)

F

field_name (verdict.extractor.RawExtractor attribute) (verdict.extractor.TokenProbabilityExtractor attribute) fields (verdict.extractor.RegexExtractor attribute) (verdict.transform.MaxPoolUnit attribute) (verdict.transform.MeanPoolUnit attribute) (verdict.transform.MeanVariancePoolUnit attribute) FIRST_FLOAT (verdict.extractor.RegexExtractor attribute) FIRST_INT (verdict.extractor.RegexExtractor attribute)

format() (verdict.extractor.Extractor class method) (verdict.extractor.PostHocExtractor method) from_any() (verdict.model.ModelSelectionPolicy static method) from_hf() (verdict.dataset.DatasetWrapper static method) from_model() (verdict.model.ClientWrapper static method) from_name() (verdict.model.ModelSelectionPolicy static method) from_names() (verdict.model.ModelSelectionPolicy static method) from_pandas() (verdict.dataset.DatasetWrapper static method) from_values() (verdict.schema.Schema static method)

G

generate_key() (verdict.schema.Schema static method)

get_clients() (verdict.model.ModelSelectionPolicy method) get_scale() (verdict.schema.Schema class method)

H

how_inner (verdict.Layer attribute)

how_outer (verdict.Layer attribute)

I

in_tokens (verdict.extractor.Usage attribute) index() (verdict.scale.DiscreteScale method) infer() (verdict.schema.Schema static method) infer_pydantic_annotation() (verdict.schema.Schema static method) inference_parameters (verdict.model.Client attribute) (verdict.model.ClientWrapper attribute) inject() (verdict.extractor.CustomExtractor method) (verdict.extractor.Extractor method) (verdict.extractor.RawExtractor method) (verdict.extractor.TokenProbabilityExtractor method) (verdict.extractor.WeightedSummedScoreExtractor method)

inline() (verdict.schema.Schema static method) input_fn (verdict.dataset.DatasetWrapper attribute) is_empty() (verdict.schema.Schema class method) is_unknown() (verdict.extractor.Usage method)

L

Layer (class in verdict) leaf_idx (verdict.Layer attribute) leaf_nodes (verdict.Layer property) leaf_view() (verdict.Block method) lightweight (verdict.transform.MapUnit attribute) (verdict.Unit attribute)

LikertScale() (in module verdict.scale) link() (verdict.Block method) (verdict.Layer method) (verdict.Unit method) load() (verdict.dataset.DatasetWrapper static method)

M

map_func (verdict.transform.MapUnit attribute) MapUnit (class in verdict.transform) MapUnit.InputSchema (class in verdict.transform) MapUnit.ResponseSchema (class in verdict.transform) materialize() (verdict.Block method) max_samples (verdict.dataset.DatasetWrapper attribute) MaxPoolUnit (class in verdict.transform) MeanPoolUnit (class in verdict.transform) MeanVariancePoolUnit (class in verdict.transform) Model (class in verdict.model) model (verdict.model.Client attribute) (verdict.model.ClientWrapper attribute) model_config (verdict.schema.Schema attribute) (verdict.transform.MapUnit.InputSchema attribute) (verdict.transform.MapUnit.ResponseSchema attribute) model_post_init() (verdict.schema.Schema method) (verdict.transform.MapUnit.InputSchema method) (verdict.transform.MapUnit.ResponseSchema method)

model_selection_policy (verdict.extractor.PostHocExtractor attribute) (verdict.model.ModelConfigurable property) (verdict.Unit attribute) ModelConfigurable (class in verdict.model) ModelSelectionPolicy (class in verdict.model) module verdict verdict.config verdict.dataset verdict.extractor verdict.model verdict.prompt verdict.scale verdict.schema verdict.transform

N

name (verdict.model.Model attribute) (verdict.model.ProviderModel attribute) (verdict.model.vLLMModel attribute) (verdict.Pipeline attribute)

O

of() (verdict.schema.Schema static method) order (verdict.Layer attribute)

out_tokens (verdict.extractor.Usage attribute) OutputSchema (verdict.transform.MapUnit attribute)

P

Pipeline (class in verdict) plot() (verdict.Pipeline method) populate_prompt_message() (verdict.prompt.Promptable method) (verdict.Unit method) post_extract() (verdict.extractor.CustomExtractor method) (verdict.extractor.RegexExtractor method) PostHocExtractor (class in verdict.extractor) prepend() (verdict.schema.Schema class method) process() (verdict.Unit method) prompt() (verdict.scale.ContinuousScale method) (verdict.scale.DiscreteScale method) (verdict.scale.Scale method)

Promptable (class in verdict.prompt) PromptMessage (class in verdict.prompt) PromptRegistry (class in verdict.prompt) ProviderModel (class in verdict.model) pydantic_fields() (verdict.scale.BooleanScale method) (verdict.scale.ContinuousScale method) (verdict.scale.DiscreteScale method) (verdict.scale.Scale method)

R

rate_limit (verdict.model.Model attribute) rate_limiter (verdict.model.Model attribute) (verdict.model.ProviderModel attribute) (verdict.model.vLLMModel attribute) rate_limiter_disabled (verdict.config.Config attribute) RawExtractor (class in verdict.extractor) RegexExtractor (class in verdict.extractor)

response_schema (verdict.extractor.Extractor attribute) restore() (verdict.Pipeline method) root_idx (verdict.Layer attribute) root_nodes (verdict.Layer property) root_view() (verdict.Block method) run() (verdict.Pipeline method) run_from_dataset() (verdict.Pipeline method) run_from_list() (verdict.Pipeline method)

S

samples (verdict.dataset.DatasetWrapper attribute) SampleScoreExtractor (class in verdict.extractor) save() (verdict.dataset.DatasetWrapper method) Scale (class in verdict.scale) scale (verdict.extractor.TokenProbabilityExtractor attribute) ScaleType (class in verdict.scale) Schema (class in verdict.schema)

set() (verdict.model.ModelConfigurable method) shared (verdict.Unit attribute) sort() (verdict.Layer method) stream() (verdict.extractor.TokenProbabilityExtractor method) streaming (verdict.extractor.Extractor attribute) strip_prompt_template() (verdict.prompt.PromptRegistry static method) StructuredOutputExtractor (class in verdict.extractor) system (verdict.prompt.PromptMessage attribute)

T

T (verdict.scale.Scale attribute) to_messages() (verdict.prompt.PromptMessage method)

token_support() (verdict.scale.BooleanScale method) (verdict.scale.DiscreteScale method) TokenProbabilityExtractor (class in verdict.extractor)

U

Unit (class in verdict) unknown() (verdict.extractor.Usage static method) Usage (class in verdict.extractor)

use_nonce (verdict.model.Model attribute) (verdict.model.ProviderModel attribute) use_root (verdict.Block attribute) user (verdict.prompt.PromptMessage attribute)

V

validate() (verdict.Unit method) value_mapping_fn() (verdict.scale.BooleanScale method) (verdict.scale.ContinuousScale method) (verdict.scale.DiscreteScale method) values (verdict.scale.DiscreteScale attribute) (verdict.transform.MapUnit.InputSchema attribute) (verdict.transform.MapUnit.ResponseSchema attribute) verdict module verdict.config module verdict.dataset module verdict.extractor module

verdict.model module verdict.prompt module verdict.scale module verdict.schema module verdict.transform module via() (verdict.model.ModelConfigurable method) (verdict.Pipeline method) vLLMModel (class in verdict.model)

W

WeightedSummedScoreExtractor (class in verdict.extractor)

with_leaf() (verdict.Layer method) with_root() (verdict.Layer method)