Metadata-Version: 2.1
Name: dvclive
Version: 0.0.1a0
Summary: Metric logger for ML projects.
Home-page: http://dvc.org
Author: Paweł Redzyński
Author-email: pawel@iterative.ai
License: UNKNOWN
Description: # dvclive
        dvclive is an open-source library for monitoring machine learning model performance.
        
        dvclive aims to provide the user with simple python interface what will allow the
        user to log the model metrics as the training progresses.
        
        The interface consists of three main methods:
        1. `dvclive.init(path)` - initializes dvclive logger. The metrics will be saved under `path`.
        2. `dvclive.log(metric, value, step)` - logs the metric value. The value and step will be appended to `path/{metric}.tsv` file. The step value is optional.
        3. `dvclive.next_step()` - signals `dvclive` that current step has ended. Executed automatically if `metric` is logged again.
        
Keywords: data-science metrics machine-learning developer-tools ai
Platform: UNKNOWN
Requires-Python: >=3.6
Provides-Extra: tests
Provides-Extra: all
Provides-Extra: tf
Provides-Extra: xgb
