sc268

## classification
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## billing.ipynb

      
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## description.ipynb

      
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## classification.ipynb

      
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## multiplicity.ipynb

      
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## multiplicity.ipynb

      
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## synthetic_data.R
# --- synthetic data for logistic regression #
# Sean Chang 2014
# sean.chang@duke.edu

# sample size
n = 1e4
x <- rnorm(n, -1, 0.5) + rnorm(n,0.5,0.5)

# transfer x to [0,1]
x = exp(x)/(1+exp(x))
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	# --- synthetic data for logistic regression #
	# Sean Chang 2014
	# sean.chang@duke.edu

	# sample size
	n = 1e4
	x <- rnorm(n, -1, 0.5) + rnorm(n,0.5,0.5)

	# transfer x to [0,1]
	x = exp(x)/(1+exp(x))