How to use 'logistic regression in python' - Python

How to use 'logistic regression in python' in Python

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chengsoonong/crowdastro

89 def logistic_regression(w, x):
90     """Logistic regression classifier model.
91 
92     w: Weights w. (n_features,) NumPy array
93     x: Data point x_i. (n_features,) NumPy array
94     -> float in [0, 1]
95     """
96     return scipy.special.expit(numpy.dot(x, w.T))

thomhopmans/themarketingtechnologist

101 def run_logistic_regression(df):
102     # Logistic regression
103     X = df['pageviews_cumsum']
104     X = sm.add_constant(X)
105     y = df['is_conversion']
106     logit = sm.Logit(y, X)
107     logistic_regression_results = logit.fit()
108     print(logistic_regression_results.summary())
109     return logistic_regression_results

89	def logistic_regression(w, x):
90	"""Logistic regression classifier model.
91
92	w: Weights w. (n_features,) NumPy array
93	x: Data point x_i. (n_features,) NumPy array
94	-> float in [0, 1]
95	"""
96	return scipy.special.expit(numpy.dot(x, w.T))

101	def run_logistic_regression(df):
102	# Logistic regression
103	X = df['pageviews_cumsum']
104	X = sm.add_constant(X)
105	y = df['is_conversion']
106	logit = sm.Logit(y, X)
107	logistic_regression_results = logit.fit()
108	print(logistic_regression_results.summary())
109	return logistic_regression_results

How to use 'logistic regression in python' in Python

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