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drift/feature_extractors/feature_extractor_presets.py
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2022-01-26 23:22:43 +01:00

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Python

from .types import FeatureExtractorConfig
from .feature_extractors import feature_lag, feature_mom, feature_ROC, feature_RSI, feature_STOD, feature_STOK, feature_expanding_zscore, feature_vol, feature_day_of_month, feature_day_of_week, feature_month, feature_debug_future_lookahead
from .fractional_differentiation import feature_fractional_differentiation, feature_fractional_differentiation_log
__presets = dict(
debug_future_lookahead = [('debug_future', feature_debug_future_lookahead, [1])],
single_mom = [('mom', feature_mom, [30])],
single_vol = [('vol', feature_vol, [30])],
mom = [('mom', feature_mom, [10, 20, 30, 60, 90])],
vol = [('vol', feature_vol, [10, 20, 30, 60])],
lags_up_to_5 = [('lag', feature_lag, [1,2,3,4,5])],
lags_up_to_10 = [('lag', feature_lag, [1,2,3,4,5,6,7,8,9,10])],
date_all = [
('day_of_week', feature_day_of_week, [0]),
('day_of_month', feature_day_of_month, [0]),
('month', feature_month, [0])],
date_days = [
('day_of_week', feature_day_of_week, [0]),
('day_of_month', feature_day_of_month, [0]),
],
roc = [('roc', feature_ROC, [10, 30])],
rsi = [('rsi', feature_ROC, [10, 30, 100])],
stod = [('stod', feature_STOD, [10, 30, 200])],
stok = [('stok', feature_STOK, [10, 30, 200])],
fracdiff = [('fracdiff', feature_fractional_differentiation, [10, 30])],
fracdiff_log = [('fracdiff_log', feature_fractional_differentiation_log, [10, 30])],
z_score = [('z_score', feature_expanding_zscore, [10])],
)
presets = __presets | dict(
level_1 = __presets["mom"] + __presets["vol"],
level_2 = __presets["mom"] + __presets["vol"] + __presets["roc"] + __presets["rsi"] + __presets["stod"] + __presets["stok"],
)