tsflex v0.2.3

❗ See also: tsflex v0.2.2 which is even more 🔥 than this one

New features

💚 Next to the tsfresh integrations, tsflex's feature extraction now fully integrates with seglearn and tsfel ⬇️

from seglearn.feature_functions import base_features
from tsfel.feature_extraction import get_features_by_domain

from tsflex.features import FeatureCollection, MultipleFeatureDescriptors
from tsflex.features.integrations import seglearn_feature_dict_wrapper, tsfel_feature_dict_wrapper
from tsflex.utils.data import load_empatica_data

# Load sequence-indexed data (in this case a time-index)
df_tmp, df_acc = load_empatica_data(['tmp', 'acc'])

# Construct your feature extraction configuration & extract features
fc = FeatureCollection(
    MultipleFeatureDescriptors(
        functions=[
            *seglearn_feature_dict_wrapper(base_features()),
            *tsfel_feature_dict_wrapper(get_features_by_domain('statistical')),
        ],
        series_names=["TMP", "ACC_x", "ACC_y"],
        windows=["5min", "15min"],
        strides="5min"
    )
)

fc.calculate(data=[df_tmp, df_acc], return_df=True)

Changes

🎉 The FeatureCollection.calculcate it's feauture-DataFrame output now has a determenistic column order see - #40