Examples¶
Fit distribution¶
# Example data
X = np.random.normal(10, 3, 2000)
y = [3,4,5,6,10,11,12,18,20]
# Initialize
dist = distfit()
dist.fit_transform(X)
# Make prediction
dist.predict(y)
Make predictions¶
Make some predictions can with the predict
function.
Due to multiple testing it can occur that samples are outside the boundary
of the distribution confidence interval but are not marked as significant.
# Example data
X = np.random.normal(10, 3, 2000)
y = [3,4,5,6,10,11,12,18,20]
# Initialize
dist = distfit(distr='full', alpha=0.01)
dist.fit_transform(X)
# Make prediction
dist.predict(y)