pub struct Model<Input = PredictInput, Output = PredictOutput>{ /* private fields */ }
Expand description
Use this struct to load a model, make predictions, and log events to the app.
Implementations§
Source§impl<Input, Output> Model<Input, Output>
Use this struct to load a model, make predictions, and log events to the app.
impl<Input, Output> Model<Input, Output>
Use this struct to load a model, make predictions, and log events to the app.
Sourcepub fn from_path(
path: impl AsRef<Path>,
options: Option<LoadModelOptions>,
) -> Result<Model<Input, Output>>
pub fn from_path( path: impl AsRef<Path>, options: Option<LoadModelOptions>, ) -> Result<Model<Input, Output>>
Load a model from the .tangram
file at path
.
Sourcepub fn from_bytes(
bytes: &[u8],
options: Option<LoadModelOptions>,
) -> Result<Model<Input, Output>>
pub fn from_bytes( bytes: &[u8], options: Option<LoadModelOptions>, ) -> Result<Model<Input, Output>>
Load a model from a byte slice. You should use this only if you already have a .tangram
loaded into memory. Otherwise, use Model::from_path
, which is faster because it memory maps the file.
Sourcepub fn predict_one(
&self,
input: Input,
options: Option<PredictOptions>,
) -> Output
pub fn predict_one( &self, input: Input, options: Option<PredictOptions>, ) -> Output
Make a prediction with a single input.
Sourcepub fn predict(
&self,
input: Vec<Input>,
options: Option<PredictOptions>,
) -> Vec<Output>
pub fn predict( &self, input: Vec<Input>, options: Option<PredictOptions>, ) -> Vec<Output>
Make a prediction with multiple inputs.
Sourcepub fn log_prediction(
&mut self,
args: LogPredictionArgs<Input, Output>,
) -> Result<()>
pub fn log_prediction( &mut self, args: LogPredictionArgs<Input, Output>, ) -> Result<()>
Send a prediction event to the app. If you want to batch events, you can use Model::enqueue_log_true_value
instead.
Sourcepub fn log_true_value(&mut self, args: LogTrueValueArgs) -> Result<()>
pub fn log_true_value(&mut self, args: LogTrueValueArgs) -> Result<()>
Send a true value event to the app. If you want to batch events, you can use Model::enqueue_log_true_value
instead.
Sourcepub fn enqueue_log_prediction(&mut self, args: LogPredictionArgs<Input, Output>)
pub fn enqueue_log_prediction(&mut self, args: LogPredictionArgs<Input, Output>)
Add a prediction event to the queue. Remember to call Model::flush_log_queue
at a later point to send the event to the app.
Sourcepub fn enqueue_log_true_value(&mut self, args: LogTrueValueArgs)
pub fn enqueue_log_true_value(&mut self, args: LogTrueValueArgs)
Add a true value event to the queue. Remember to call Model::flush_log_queue
at a later point to send the event to the app.
Sourcepub fn flush_log_queue(&mut self) -> Result<()>
pub fn flush_log_queue(&mut self) -> Result<()>
Send all events in the queue to the app.
Auto Trait Implementations§
impl<Input, Output> Freeze for Model<Input, Output>
impl<Input, Output> RefUnwindSafe for Model<Input, Output>where
Input: RefUnwindSafe,
Output: RefUnwindSafe,
impl<Input, Output> Send for Model<Input, Output>
impl<Input, Output> Sync for Model<Input, Output>
impl<Input, Output> Unpin for Model<Input, Output>
impl<Input, Output> UnwindSafe for Model<Input, Output>where
Input: UnwindSafe,
Output: UnwindSafe,
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