I am using the 2.4.0 version of pysmile.
Name: pysmile Version: 2.4.0
Summary: BayesFusion's SMILE wrapper
Home-page: [https://bayesfusion.com/](https://bayesfusion.com/)
Author: BayesFusion LLC Author-email: support@bayesfusion.com
In my local machine, my Linux is cutting edge, and there ...
Search found 8 matches
- Fri Jun 13, 2025 9:23 pm
- Forum: SMILE
- Topic: error message regarding /lib64/libm.so.6
- Replies: 0
- Views: 272
- Fri Jun 13, 2025 8:55 pm
- Forum: SMILE
- Topic: Help needed for my example of simulate continuous model and parameter learning. Parameter learning wrong.
- Replies: 2
- Views: 577
Re: Help needed for my example of simulate continuous model and parameter learning. Parameter learning wrong.
cont_net = pysmile.Network()
# Here the node is not added in order ABCD, but CABD
C = create_cont_node(cont_net, "C", "C", 10, 40)
A = create_cont_node(cont_net, "A", "A", 10, 20)
B = create_cont_node(cont_net, "B", "B", 10, 30)
D = create_cont_node(cont_net, "D", "D", 10, 50)
cont_net.add_arc(C ...
- Fri Jun 13, 2025 8:41 pm
- Forum: SMILE
- Topic: My example of simulating categorical model and parameter learning
- Replies: 2
- Views: 543
Re: My example of simulating categorical model and parameter learning
Let us discuss this section of the code below:
em = pysmile.learning.EM()
try:
matching = cate_ds.match_network(cate_net)
except pysmile.SMILEException:
print("Can't automatically match network with dataset")
#endtry
em.set_uniformize_parameters(False)
em.set_randomize_parameters(False)
em ...
em = pysmile.learning.EM()
try:
matching = cate_ds.match_network(cate_net)
except pysmile.SMILEException:
print("Can't automatically match network with dataset")
#endtry
em.set_uniformize_parameters(False)
em.set_randomize_parameters(False)
em ...
- Fri Jun 13, 2025 8:24 pm
- Forum: SMILE
- Topic: how default probability number in the network with only categorical variable is set?
- Replies: 2
- Views: 634
Re: how default probability number in the network with only categorical variable is set?
Currently I am just learning how to use the package. My final goal is to use it for real-world project.
In a real-world project, we want to first use our own causal discovery algorithm to generate the skeleton of the network (like the PC algorithm outputs the skeleton of the network), then we want ...
In a real-world project, we want to first use our own causal discovery algorithm to generate the skeleton of the network (like the PC algorithm outputs the skeleton of the network), then we want ...
- Thu Jun 12, 2025 8:28 pm
- Forum: SMILE
- Topic: Help needed for my example of simulate continuous model and parameter learning. Parameter learning wrong.
- Replies: 2
- Views: 577
Help needed for my example of simulate continuous model and parameter learning. Parameter learning wrong.
Dear Community,
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
I tried to simulate a network with continuous variables only.
1. In this sample code, I first simulate a dataset based on a predefined formula as follows:
C = Normal(0, 1 ...
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
I tried to simulate a network with continuous variables only.
1. In this sample code, I first simulate a dataset based on a predefined formula as follows:
C = Normal(0, 1 ...
- Thu Jun 12, 2025 8:02 pm
- Forum: SMILE
- Topic: My example of simulating categorical model and parameter learning
- Replies: 2
- Views: 543
My example of simulating categorical model and parameter learning
Dear Community,
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
I tried to simulate a network with categorical variables only.
Simulate categorical variables A, B, C, D with the following Bayesian network dependencies:
* C -> A
* A -> D ...
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
I tried to simulate a network with categorical variables only.
Simulate categorical variables A, B, C, D with the following Bayesian network dependencies:
* C -> A
* A -> D ...
- Thu Jun 12, 2025 3:28 am
- Forum: SMILE
- Topic: how default probability number in the network with only categorical variable is set?
- Replies: 2
- Views: 634
how default probability number in the network with only categorical variable is set?
Dear Community,
I am following the PDF version of the tutorial for SMILE wrappers, specifically for python language.
I am doing the following experiment to learn more about SMILE package.
(1)
I defined a network using only categorical variables in the following Python code:
```
cate_net ...
I am following the PDF version of the tutorial for SMILE wrappers, specifically for python language.
I am doing the following experiment to learn more about SMILE package.
(1)
I defined a network using only categorical variables in the following Python code:
```
cate_net ...
- Thu Jun 12, 2025 3:03 am
- Forum: SMILE
- Topic: question regarding the multidimensional arrays represented as flat array
- Replies: 1
- Views: 607
question regarding the multidimensional arrays represented as flat array
Dear Community,
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
In Tutorial 1, after adding arcs, it redirected to a tutorial "Multidimensional arrays". In this section, how to understand the following statement? It says " The order of the ...
I am following the PDF version of the tutorial for SMILE wrappers, specifically for the Python language.
In Tutorial 1, after adding arcs, it redirected to a tutorial "Multidimensional arrays". In this section, how to understand the following statement? It says " The order of the ...