Enum NeuralAction 

pub enum NeuralAction {
    Create {
        layers: Vec<usize>,
        output: String,
    },
    Train {
        model: String,
        data: String,
    },
    Predict {
        model: String,
        input: Vec<f32>,
    },
}

Neural network actions

Variants

Create

Create a neural network

Fields

layers: Vec<usize>

output: String

Train

Train a model

Fields

model: String

data: String

Predict

Predict with a model

Fields

model: String

input: Vec<f32>

Trait Implementations

impl Debug for NeuralAction

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

Formats the value using the given formatter.

impl FromArgMatches for NeuralAction

fn from_arg_matches(__clap_arg_matches: &ArgMatches) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn from_arg_matches_mut( __clap_arg_matches: &mut ArgMatches, ) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn update_from_arg_matches( &mut self, __clap_arg_matches: &ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

fn update_from_arg_matches_mut<'b>( &mut self, __clap_arg_matches: &mut ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

impl Subcommand for NeuralAction

fn augment_subcommands<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate Self via FromArgMatches::from_arg_matches_mut

fn augment_subcommands_for_update<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate self via FromArgMatches::update_from_arg_matches_mut

fn has_subcommand(__clap_name: &str) -> bool

Test whether Self can parse a specific subcommand