Dataset

Summary

Persisted data consisting of entity & request keys, timestamps, and calculated features. Datasets are associated with either a FeatureService or FeatureView.
 
There are 2 types of Datasets: Saved and Logged.
 
Saved Datasets are generated manually when calling .start_dataset_job() on Tecton DataFrame, ie:
  Logged Datasets are generated automatically when declaring a FeatureService with LoggingConfig, and the data is continuously added to it when requesting online data from the FeatureService.
 
To get an existing Dataset, call workspace.get_dataset().

Example

data_frame = get_features_for_events(my_spine)
data_frame.start_dataset_job(dataset_name='my_training_dataset:V1')

Attributes

Name	Data Type	Description
is_archived	bool	Boolean indicating if the dataset is archived.
name	str	Name of the dataset.

Methods

Name	Description
__init__(...)	Initialize self. See help(type(self)) for accurate signature.
to_dataframe(...)	Loads the data and returns it as TectonDataFrame

to_dataframe(...)

Loads the data and returns it as TectonDataFrame

Parameters

• start_time (Optional[datetime.datetime]) - The interval start time from when we want to retrieve the data. Default: None


• end_time (Optional[datetime.datetime]) - The interval end time until when we want to retrieve the data. Default: None

Returns

TectonDataFrame