The following editor will bring you a scene of the use scene of the use of scipy.misc.logsumexp function in python. The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let’s follow the editor and take a look. The input parameters of the scipy.misc.logsumexp function are (a, axis=None, b=None, keepdims=False, return_sign=False). The specific configuration can be found here. The returned value is np. log (np.sum (np.exp (a))). What needs to be emphasized here is the scene of using this function: Generally speaking, this function is mainly used for very small value operations (such as Monte Carlo samples). In this case, it is necessary to keep the data log processing. So at this time, if you want to accumulate the data in the array, you need to calculate the log (SUM (EXP (A))), but this will cause some accurate problems, and this problem scipy.misc.logsumexp is the The solution has been introduced, so you can directly use scipy for summing small data
1. Recommended 10 articles about Misc
Introduction: The editor below will bring you a brief discussion of the application scenarios of the scipy.misc.logsumexp function in python. The editor thinks it’s pretty good, so I’ll share it with you now and give it as a reference. Let's follow the editor and take a look. The input parameters of the scipy.misc.logsumexp function are (a, axis=None, b=None, keepdims=False, return_sign=False). The specific configuration can be found here. The returned value is np. log(np.su...
2. Use of scipy.misc.logsumexp function in python
Introduction: The editor below will bring you a brief discussion on the application scenarios of the scipy.misc.logsumexp function in python. The editor thinks it is quite good, so let’s do it now. Share it with you, and give you a reference.
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8. A brief discussion on the application scenarios of scipy.misc.logsumexp function in python
Introduction: The editor below will bring you a brief discussion on scipy in python The application scenarios of the .misc.logsumexp function are very good. I will share them with you now and give them a reference. Let’s take a look.
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