In [5]:

    

import numpy as np
import pickle
import sys
sys.path.append('../classification')
import featureExtraction
import feature_store
sys.path.append('../gen_lightcurves')
import json
import numpy as np
import rpy2
import pywt
from rpy2.robjects.packages import importr
from importlib import reload


    

In [2]:

    

with open('../gen_lightcurves/des_sn.p', 'rb') as f:
    lightcurves = pickle.load(f)
test_key = np.random.permutation(list(lightcurves))[0]
test_lightcurve = lightcurves[test_key]


    

In [15]:

    

reload(feature_store)
hp = {'wavelet_type': 'sym2', 'wavelet_level': 1, 'num_band_coeffs': 10}
feature_store.generate_decomposition(hp)


    

    




Number of Object coeffs:  400
(200, 400)
(200, 40)

In [ ]:

    

get_pywt_wav_coeffs(test_lightcurve, 'sym2', 1);


    

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