Struct google_prediction1d6::AnalyzeModelDescription

pub struct AnalyzeModelDescription {
    pub confusion_matrix: Option<HashMap<String, HashMap<String, String>>>,
    pub confusion_matrix_row_totals: Option<HashMap<String, String>>,
    pub modelinfo: Option<Insert2>,
}

Description of the model.

This type is not used in any activity, and only used as part of another schema.

Fields

confusion_matrix: Option<HashMap<String, HashMap<String, String>>>

An output confusion matrix. This shows an estimate for how this model will do in predictions. This is first indexed by the true class label. For each true class label, this provides a pair {predicted_label, count}, where count is the estimated number of times the model will predict the predicted label given the true label. Will not output if more then 100 classes (Categorical models only).

confusion_matrix_row_totals: Option<HashMap<String, String>>

A list of the confusion matrix row totals.

modelinfo: Option<Insert2>

Basic information about the model.

Trait Implementations

impl Part for AnalyzeModelDescription

impl NestedType for AnalyzeModelDescription

impl Default for AnalyzeModelDescription

fn default() -> AnalyzeModelDescription

Returns the "default value" for a type.

impl Clone for AnalyzeModelDescription

fn clone(&self) -> AnalyzeModelDescription

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AnalyzeModelDescription

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

Formats the value using the given formatter.

impl Serialize for AnalyzeModelDescription

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

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for AnalyzeModelDescription

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

Deserialize this value from the given Serde deserializer.