Na.kalman in python

>>> from pykalman import KalmanFilter
>>> import numpy as np
>>> kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
>>> measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
>>> kf = kf.em(measurements, n_iter=5)
>>> (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
>>> (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)

Source: pykalman.github.io

Similar codes

4 votes312 views1 answer
Change type of array python
Python
0 vote287 views1 answer
Napalm cli
Python
0 vote296 views1 answer
Mehrzeiliges kommentar python
Python
0 vote367 views1 answer
How to fix invalid salt in python flask
Python Flask
31 votes299 views3 answers
Insert in Python
Python
0 vote262 views1 answer
Pandas make new dataframe
Python
5 votes291 views2 answers
Python get everything between two characters
Python
0 vote284 views1 answer
Python repet x time
Python
0 vote307 views1 answer
Using default as none in django mdoels
Python
0 vote342 views2 answers
How to get a specific field in django
Python