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Questions - bayesian-networks

Pandas Dataframe - Adding Else?

I want to generate Test Data for my Bayesian Network. This is my current Code: data = np.random.randint(2, size=(5, 6)) columns = ['p_1', 'p_2', 'OP1', 'OP2', 'OP3', 'OP4'] df = pd.DataFrame(data=data...
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Larumee

python

pandas

dataframe

training-data

bayesian-networks

Votes: 0

Answers: 2

Latest Answer

You can defined tuples for test and create new columns by casting values of mask to inetegers for True/False to 1/0 mapping: vals = [(1,1),(1,0),(0,1),(0,0)] for i, (a, b) in enumerate(vals, 1): d...
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jezrael

Is there an R function to select N random columns from the dataframe?

Is there an R function to select N random columns from the dataframe? I'am trying to check the time complexity of Sparsebn package for structure learning of Bayesian Networks I've tried this, but the ...
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jkaminski

r

dataframe

bayesian-networks

Votes: 0

Answers: 2

Latest Answer

If df is a dataframe, you can sample i columns randomly by doing this: df[,sample(1:ncol(df),i)]
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langtang

Pgmpy: expectation maximization for bayesian networks parameter learning with missing data

I'm trying to use the PGMPY package for python to learn the parameters of a bayesian network. If I understand expectation maximization correctly, it should be able to deal with missing values. I am cu...
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TdV

python

missing-data

bayesian-networks

expectation-maximization

pgmpy

Votes: 0

Answers: 1

Latest Answer

Since there is still no answer to your specific question, let me propose a solution with another module: #import import pandas as pd import numpy as np import pyAgrum as gum # Read data that does no...
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Pierre-Henri Wuillemin

Looking for R package or other possibility in R for General Bayesian Network Classification

Hello stackoverflow community, Im working on a uni-project in which we try to create Bayesian Network Classifier from data in R. Ideally the classifier should be based on a General Bayesian Network (G...
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Chickenleg Joe

r

classification

bayesian-networks

bnlearn

Votes: 0

Answers: 0

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