foundational timeseries model Regressor

Switched to a regression function based on the MomentFM framework. Reconstruction/Regression can be applied on raw, irrgeularly sampled data, containing arbitrary NaN values.

data = pd.read_csv('/resources/data/hydro_data.csv', parse_dates=['Timestamp'], index_col=0, nrows=10000)
qc = saqc.SaQC(data)
qc = qc.fitFMmoment(['sac254_raw'], target=['sac254_ttm'])
qc.plot(['sac254_raw','sac254_ttm'], mode='oneplot')

MomentFM requirements have to be installed as extras (saqc[FM])