Struct CMsgSteamLearnInferenceMetadataResponse 

pub struct CMsgSteamLearnInferenceMetadataResponse {
    pub inference_metadata_result: Option<i32>,
    pub row_range: Option<RowRange>,
    pub ranges: Vec<Range>,
    pub std_devs: Vec<StdDev>,
    pub compact_tables: Vec<CompactTable>,
    pub sequence_tables: Vec<SequenceTable>,
    pub kmeans: Vec<KMeans>,
    pub app_info: Vec<AppInfoEntry>,
    pub snapshot_histogram: Option<SnapshotHistogram>,
}

Fields

inference_metadata_result: Option<i32>

row_range: Option<RowRange>

ranges: Vec<Range>

std_devs: Vec<StdDev>

compact_tables: Vec<CompactTable>

sequence_tables: Vec<SequenceTable>

kmeans: Vec<KMeans>

app_info: Vec<AppInfoEntry>

snapshot_histogram: Option<SnapshotHistogram>

Implementations

impl CMsgSteamLearnInferenceMetadataResponse

pub fn inference_metadata_result(&self) -> ESteamLearnInferenceMetadataResult

Returns the enum value of inference_metadata_result, or the default if the field is unset or set to an invalid enum value.

pub fn set_inference_metadata_result( &mut self, value: ESteamLearnInferenceMetadataResult, )

Sets inference_metadata_result to the provided enum value.

Trait Implementations

impl Clone for CMsgSteamLearnInferenceMetadataResponse

fn clone(&self) -> CMsgSteamLearnInferenceMetadataResponse

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CMsgSteamLearnInferenceMetadataResponse

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

Formats the value using the given formatter.

impl Default for CMsgSteamLearnInferenceMetadataResponse

fn default() -> CMsgSteamLearnInferenceMetadataResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for CMsgSteamLearnInferenceMetadataResponse

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Message for CMsgSteamLearnInferenceMetadataResponse

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for CMsgSteamLearnInferenceMetadataResponse

fn eq(&self, other: &CMsgSteamLearnInferenceMetadataResponse) -> 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 CMsgSteamLearnInferenceMetadataResponse

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 CMsgSteamLearnInferenceMetadataResponse