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The two forest plots are not on the same scale. Also, apparently normal confidence intervals are used here which are not always appropriate (e.g., with proportions near zero or one, the normal approx…
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## Background
**What is your motivation?**
I'm writing a simulation and the truncated distributions is a great convenience for sampling
parameters.
**What type of application is this?** (E.g. …
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(env3)~/tf-coriander/tensorflow/models/image/mnist$ python convolutional.py
Extracting data/train-images-idx3-ubyte.gz
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-u…
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Hello,
I receive the following messages (warnings?) very frequently when I use the `Hmsc-hpc` extension (on a Windows server and Linux HPC).
```
....\hmsc-venv\Lib\site-packages\hmsc\utils\impor…
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It'd be nice to be able to match our models and do something like this:
```
sigma_sim
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When run in fitting mode, the current procedure decides on how Rv should be treated (i.e. whether it is a free parameter or fixed) based on what was done in the training. It would be nice to have a wa…
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We have a case where mean EAD increases when a regulated-unregulated transform flow function is applied. This phenomenon only occurs when EAD is computed with uncertainty. The preview compute produces…
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Caused by op u'block5_fc6/truncated_normal/TruncatedNormal', defined at:
File "/home/robotics/keras-fcn/FCN-16.py", line 2, in
fcn_vgg16 = FCN(input_shape=(500, 500, 3), classes=21, weights='…
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Hello, I combine the code of this model with SRN-Deblur and train the model. But, the loss is very very large, and is easy to be Nan. So I want to know that how to train the model.
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- one-part model
- log_normal model that handles 0, does shifted_lognormal work?
- zero-inflated-negative-binomial or hurdle model
- two-part models