Files
drift/labeling/types.py
T
Mark Aron Szulyovszky 75157c6285 feat(Labeling): purge overlapping events, sort dataframe at loading time (#226)
* feat(Labeling): purge overlapping events, sort dataframe at loading time

* fix(Linter): ran

* refactor(Labeling): moved purge_overlapping_events one abstraction level higher

* fix(Data): renamed class

* fix(Data): corrected parameter name

* fix(Config): parameters

* fix(Data): fixed path

* fix(Data): uncommented required code

* feat(EventFilters): use vol based CUSUM

* fix(Config): only retrain every 2000 samples

* fix(Config): filter out even more events

* fix(Inference): added remove_overlapping_events

* refactor(Types): simplified type hierarchy
2022-03-02 00:26:33 +01:00

30 lines
741 B
Python

from data_loader.types import ReturnSeries, ForwardReturnSeries
from abc import ABC, abstractmethod
import pandas as pd
import pandera as pa
from pandera.typing import DataFrame, Series
class EventFilter(ABC):
@abstractmethod
def get_event_start_times(self, returns: ReturnSeries) -> pd.DatetimeIndex:
raise NotImplementedError
class EventSchema(pa.SchemaModel):
start: Series[pd.Timestamp]
end: Series[pd.Timestamp]
label: Series[int]
returns: Series[float]
EventsDataFrame = DataFrame[EventSchema]
class EventLabeller(ABC):
@abstractmethod
def label_events(
self, event_start_times: pd.DatetimeIndex, returns: ReturnSeries
) -> EventsDataFrame:
raise NotImplementedError