Extract time series features of a data
Please help me for extracting the following time series features:
new_fc_parameters = {
'abs_energy': None,
'mean_abs_change':mean_chan None,
'ge': None,
'mean_second_derivative_central': None,
'variation_coefficient': None,
'variance': None,
'absolute_sum_of_changes': None,
'longest_strike_below_mean': None,
'longest_strike_above_mean': None,
'fft_coefficient': [{'coeff': 0, 'attr': 'real'},
{'coeff': 1, 'attr': 'real'},
{'coeff': 2, 'attr': 'real'},
{'coeff': 3, 'attr': 'real'},
{'coeff': 4, 'attr': 'real'},
{'coeff': 5, 'attr': 'real'},
{'coeff': 6, 'attr': 'real'},
{'coeff': 7, 'attr': 'real'},
{'coeff': 8, 'attr': 'real'},
{'coeff': 9, 'attr': 'real'},
{'coeff': 10, 'attr': 'real'}],
'number_crossing_m': [{'m': 0}, {'m': -1}, {'m': 1}],
'linear_trend_timewise': [{'attr': 'pvalue'},
{'attr': 'rvalue'},
{'attr': 'intercept'},
{'attr': 'slope'},
{'attr': 'stderr'}],
}
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Please check this video about Time Series analytics with RM:
An Introduction to Time Series Analysis | RapidMiner
also you have a complete short course into Rapidminer Academy.
Best,
Cesar