daviddoji/Kalman-and-Bayesian-Filters-in-Python
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tv3141 2017-09-23 00:56:36 +01:00
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01-g-h-filter.ipynb
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@ -3394,7 +3394,7 @@
"```python\n",
"gain_rate = gain_rate\n",
"``` \n",
"This obviously has no effect, and can be removed. I wrote this to emphasize that in the prediction step you need to predict next value for all variables, both `weight` and `gain_rate`. In this case we are assuming that the gain does not vary, but when we generalize this algorithm we will remove that assumption. "
"This obviously has no effect, and can be removed. I wrote this to emphasize that in the prediction step you need to predict the next value for all variables, both `weight` and `gain_rate`. In this case we are assuming that the gain does not vary, but when we generalize this algorithm we will remove that assumption. "
]
},
{