CESNET TSZoo
This is documentation of the CESNET TSZoo project.
The goal of cesnet-tszoo
project is to provide time series datasets with useful tools for preprocessing and reproducibility. Such as:
- API for downloading, configuring and loading CESNET-TimeSeries24, CESNET-AGG23 datasets. Each with various sources and aggregations. Check dataset overview page for details about datasets.
- Example of configuration options:
- Data can be split into train/val/test sets. Split can be done by time series, check
SeriesBasedCesnetDataset
, by time periods, checkTimeBasedCesnetDataset
, or by both, checkDisjointTimeBasedCesnetDataset
. - Transforming of data with built-in transformers or with custom transformers. Check
transformers
for details. - Handling missing values built-in fillers or with custom fillers. Check
fillers
for details. - Handling anomalies with built-in anomaly handlers or with custom anomaly handlers. Check
anomaly handlers
for details.
- Data can be split into train/val/test sets. Split can be done by time series, check
- Creation and import of benchmarks, for easy reproducibility of experiments.
- Creation and import of annotations. Can create annotations for specific time series, specific time or specific time in specific time series.