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Hello Everyone,
I am working on kinetic model generation for n-decane combustion in air. Based on the reactor pressure, temperature and mixture composition I intend to produce a mechanism with pres…
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Hello,I want to carry out a sampling of the multiple Gauss mixed model,The distribution of variables is as follows:
Mixed multivariate Gauss distribution
_y_i=∑_(k=1)^K{ω_k*N(**0**,σ_k^2 H(ρ_k …
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These are some of the test results for the **mixture averaged** model, having the following governing equation and other
necessary formulation
$$ \partial_t\rho_fY_i + \boldsymbol{\nabla}\cdot\b…
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''ported from JIRA, '''SASVIEW-973''':''
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'''Torin Cooper-Bennun, 26 July 2018 11:10'''
Mixture models (a.k.a. sum/multiply models, for current intents and purposes) separate parameters of their…
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Hi - Stacks is proving very effective at improving model performance for me (using the output from `finetune::tune_sim_anneal()`). Thank you!
I am occasionally running into this problem though stac…
cgoo4 updated
1 month ago
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Is there any way and mixture of ways That I can use to visualize the convolution layers in TFLearn? from the following code I want to print the 'CONV" layer.
```
network = input_data(shape=[None,…
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**Bag of Marbles**
There are several bags of marbles each containing some colors of marbles. Marbles are drawn at random from each bags. We need to predict the distribution of the marbles in each bag…
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**Is your feature request related to a current problem? Please describe.**
When using a mixture of local and global models, the user needs to distinguish the model types.
Here's a list of pract…
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> new_model=train_mixture_gamma(trial=1,
+ y_data=y_data,
+ x_data=x_data,
+ no_categorical=0,
+ …
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Right now, an ex-gauss fit is missing in stan. Since ex-gauss might not be available in Stan by default, we might have to implement it with custom functions.