class documentation
class FilteredDataSource(CodableBatchDataSource): (source)
Undocumented
| Class Method | multi |
Undocumented |
| Method | all |
Undocumented |
| Method | all |
Undocumented |
| Method | depends |
Undocumented |
| Async Method | freshness |
.table("my_table") .freshness() |
| Method | job |
A key defining which sources can be grouped together in one request. |
| Async Method | schema |
Returns the schema for the data source |
| Class Variable | condition |
Undocumented |
| Class Variable | source |
Undocumented |
| Class Variable | type |
Undocumented |
Inherited from CodableBatchDataSource:
| Property | as |
Undocumented |
| Class Method | _deserialize |
Undocumented |
| Method | _serialize |
Undocumented |
Inherited from BatchDataSource (via CodableBatchDataSource):
| Method | __hash__ |
Undocumented |
| Method | all |
Undocumented |
| Method | all |
Undocumented |
| Async Method | feature |
Setup the code needed to represent the data source as a feature view |
| Method | features |
Undocumented |
| Method | filter |
Undocumented |
| Method | location |
Undocumented |
| Method | needed |
Undocumented |
| Method | source |
An id that identifies a source from others. |
| Method | tags |
Undocumented |
| Method | transform |
Undocumented |
| Method | with |
Undocumented |
| Method | with |
Undocumented |
def multi_source_features_for(cls:
type[ FilteredDataSource], facts: RetrievalJob, requests: list[ tuple[ FilteredDataSource, RetrievalRequest]]) -> RetrievalJob:
(source)
¶
Undocumented
def all_between_dates(self, request:
RetrievalRequest, start_date: datetime, end_date: datetime) -> RetrievalJob:
(source)
¶
Undocumented
Returns the schema for the data source
`python source = FileSource.parquet_at('test_data/titanic.parquet') schema = await source.schema() >>> {'passenger_id': FeatureType(name='int64'), ...} `
- Returns:
- dict[str, FeatureType]: A dictionary containing the column name and the feature type