Struct CsvLogger 

pub struct CsvLogger { /* private fields */ }

CSV logger for easy data analysis.

Writes metrics to a CSV file that can be imported into spreadsheets or analyzed with pandas/numpy.

Example

use tensorlogic_train::CsvLogger;
use tensorlogic_train::LoggingBackend;

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

Implementations

impl CsvLogger

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

Create a new CSV logger.

Arguments

• path - Path to the CSV file

pub fn path(&self) -> &Path

Get the path to the CSV file.

Trait Implementations

impl Clone for CsvLogger

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 CsvLogger

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

Formats the value using the given formatter.

impl LoggingBackend for CsvLogger

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.