Struct DatasetSchema 

pub struct DatasetSchema {
    pub dataset_id: String,
    pub sample_ids: Vec<SampleId>,
    pub sources: Vec<SourceDescriptor>,
    pub targets: BTreeMap<TargetId, RepresentationSpec>,
    pub metadata: BTreeMap<String, RepresentationSpec>,
    pub metadata_schema: Option<MetadataSchema>,
    pub groups: Vec<GroupSpec>,
    pub folds: Vec<FoldSpec>,
}

Fields

dataset_id: String

sample_ids: Vec<SampleId>

sources: Vec<SourceDescriptor>

targets: BTreeMap<TargetId, RepresentationSpec>

metadata: BTreeMap<String, RepresentationSpec>

metadata_schema: Option<MetadataSchema>

groups: Vec<GroupSpec>

folds: Vec<FoldSpec>

Implementations

impl DatasetSchema

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

Trait Implementations

impl Clone for DatasetSchema

fn clone(&self) -> DatasetSchema

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetSchema

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DatasetSchema

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DatasetSchema

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for DatasetSchema

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 DatasetSchema