kedro.extras.datasets.tracking

Modules Classes Names

package documentation

(source)

Dataset implementations to save data for Kedro Experiment Tracking

Module	`json_dataset`	`JSONDataSet` saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). It uses native json to handle the JSON file. The `JSONDataSet` is part of Kedro Experiment Tracking. The dataset is versioned by default.
Module	`metrics_dataset`	`MetricsDataSet` saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). It uses native json to handle the JSON file. The `MetricsDataSet` is part of Kedro Experiment Tracking. The dataset is versioned by default and only takes metrics of numeric values.

From __init__.py:

Class	`JSONDataSet`	`JSONDataSet` saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). It uses native json to handle the JSON file. The `JSONDataSet` is part of Kedro Experiment Tracking. The dataset is write-only and it is versioned by default.
Class	`MetricsDataSet`	`MetricsDataSet` saves data to a JSON file using an underlying filesystem (e.g.: local, S3, GCS). It uses native json to handle the JSON file. The `MetricsDataSet` is part of Kedro Experiment Tracking. The dataset is write-only, it is versioned by default and only takes metrics of numeric values.