Struct AutoMLChannel

pub struct AutoMLChannel {
    pub compression_type: Option<String>,
    pub data_source: AutoMLDataSource,
    pub target_attribute_name: String,
}

Similar to Channel. A channel is a named input source that training algorithms can consume. Refer to Channel for detailed descriptions.

Fields

compression_type: Option<String>

You can use Gzip or None. The default value is None.

data_source: AutoMLDataSource

The data source.

target_attribute_name: String

The name of the target variable in supervised learning, a.k.a. 'y'.

Trait Implementations

impl Clone for AutoMLChannel

fn clone(&self) -> AutoMLChannel

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AutoMLChannel

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

Formats the value using the given formatter.

impl Default for AutoMLChannel

fn default() -> AutoMLChannel

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AutoMLChannel

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AutoMLChannel

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

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for AutoMLChannel