Struct TrainingReplayOutcome 

pub struct TrainingReplayOutcome {

    pub schema_version: u32,
    pub outcome_id: String,
    pub run_id: RunId,
    pub source_training_outcome: TrainingOutcomeRef,
    pub replay_request_id: String,
    pub replay_request_fingerprint: String,
    pub input_data_identities: Vec<ReplayDataIdentity>,
    pub bundle_id: BundleId,
    pub plan_id: String,
    pub phase: Phase,
    pub result_count: usize,
    pub lineage_record_count: usize,
    pub prediction_block_count: usize,
    pub observation_prediction_block_count: usize,
    pub aggregated_prediction_block_count: usize,
    pub explanation_block_count: usize,
    pub controller_count: usize,
    pub prediction_cache_store: bool,
    pub outputs: Vec<BoundTrainingOutput>,
    pub conformal_intervals: Vec<ConformalIntervalBlock>,
    pub explanations: Vec<ExplanationBlock>,
    pub lineage: Vec<LineageRecord>,
    pub warnings: Vec<String>,
    pub diagnostics: BTreeMap<String, Value>,
    pub outcome_fingerprint: String,
}

Fields

schema_version: u32

outcome_id: String

run_id: RunId

source_training_outcome: TrainingOutcomeRef

replay_request_id: String

replay_request_fingerprint: String

input_data_identities: Vec<ReplayDataIdentity>

bundle_id: BundleId

plan_id: String

phase: Phase

result_count: usize

lineage_record_count: usize

prediction_block_count: usize

observation_prediction_block_count: usize

aggregated_prediction_block_count: usize

explanation_block_count: usize

controller_count: usize

prediction_cache_store: bool

outputs: Vec<BoundTrainingOutput>

conformal_intervals: Vec<ConformalIntervalBlock>

explanations: Vec<ExplanationBlock>

lineage: Vec<LineageRecord>

warnings: Vec<String>

diagnostics: BTreeMap<String, Value>

outcome_fingerprint: String

Implementations

impl TrainingReplayOutcome

pub fn from_json(json: &str) -> Result<TrainingReplayOutcome, DagMlError>

pub fn compute_fingerprint(&self) -> Result<String, DagMlError>

pub fn validate(&self) -> Result<(), DagMlError>

pub fn validate_against( &self, source: &TrainingOutcome, request: &TrainingReplayRequest, ) -> Result<(), DagMlError>

pub fn validate_against_package( &self, package: &PortablePredictorPackage, request: &TrainingReplayRequest, ) -> Result<(), DagMlError>

Trait Implementations

impl Clone for TrainingReplayOutcome

fn clone(&self) -> TrainingReplayOutcome

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TrainingReplayOutcome

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for TrainingReplayOutcome

fn deserialize<__D>( __deserializer: __D, ) -> Result<TrainingReplayOutcome, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for TrainingReplayOutcome

fn eq(&self, other: &TrainingReplayOutcome) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for TrainingReplayOutcome

fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for TrainingReplayOutcome