Struct JsonlLogger 

pub struct JsonlLogger { /* private fields */ }

JSONL (JSON Lines) logger for machine-readable output.

Writes each metric as a JSON object on its own line, making it easy to parse and process programmatically.

Example

use tensorlogic_train::JsonlLogger;
use tensorlogic_train::LoggingBackend;

let mut logger = JsonlLogger::new("/tmp/metrics.jsonl").unwrap();
logger.log_scalar("loss", 0.5, 1).unwrap();
logger.log_scalar("accuracy", 0.95, 1).unwrap();
logger.flush().unwrap();

Implementations

impl JsonlLogger

pub fn new<P: AsRef<Path>>(path: P) -> TrainResult<Self>

Create a new JSONL logger.

Arguments

• path - Path to the JSONL file

pub fn path(&self) -> &Path

Get the path to the JSONL file.

Trait Implementations

impl Clone for JsonlLogger

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for JsonlLogger

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

Formats the value using the given formatter.

impl LoggingBackend for JsonlLogger

fn log_scalar(&mut self, name: &str, value: f64, step: usize) -> TrainResult<()>

Log a scalar metric.

fn log_text(&mut self, message: &str) -> TrainResult<()>

Log a text message.

fn flush(&mut self) -> TrainResult<()>

Flush any buffered logs.