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Recently, scipy has added the possibility to use logsumexp on numbers with additional sign information. I.e. you can keep negative numbers in log space and compute with them:
```
import numpy as np,…
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logsumexp moved from scipy.misc to scipy.special -- quick edit did the trick for me
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```
What steps will reproduce the problem?
1. Try running a test like hmmDiscreteTest.
What is the expected output? What do you see instead?
I expect the test to run, instead I receive a message sta…
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HI, when I read you code , it make me refused here, in the the LIstNet loss function:
```
def get_loss(self, x_t, y_t):
# ---- start loss calculation ----
...
p_true = F…
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```
What steps will reproduce the problem?
1. Try running a test like hmmDiscreteTest.
What is the expected output? What do you see instead?
I expect the test to run, instead I receive a message sta…
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_From [AlbertoA...@gmail.com](https://code.google.com/u/106673369081520289454/) on December 25, 2012 11:58:22_
What steps will reproduce the problem? 1. Try running a test like hmmDiscreteTest. What …
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In scipy==0.19.0, the `misc` module was removed so `scipy.misc.logsumexp` becomes `scipy.special.logsumexp`. Six imports need fixed to resolve that.
One option is
```
try:
from scipy.spe…
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@aseyboldt provided an implementation we can probably use here as a starting point:
```python
@numba.njit(parallel=True, fastmath=True)
def numba_logsumexp(p, out):
n, m = p.shape
asser…
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```
What steps will reproduce the problem?
1. Try running a test like hmmDiscreteTest.
What is the expected output? What do you see instead?
I expect the test to run, instead I receive a message sta…
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Hi,
I am curious what is the math background for the logsunexp and softplus case in FLAG.objective.
Thanks.
ghost updated
4 years ago