How to use 'logistic regression in python' in Python

Every line of 'logistic regression in python' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
89def 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))
101def 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

Related snippets