docs:Example script.

Author: antononcube

examples/Random-data-regressions.py

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+
+from Regressionizer.Regressionizer import Regressionizer
+
+import numpy
+from scipy.stats import norm
+
+numpy.random.seed(0)
+x = numpy.linspace(0, 2, 240)
+y = numpy.sin(2 * numpy.pi * x) + numpy.random.normal(0, 0.4, x.shape)
+data = numpy.column_stack((x, y))
+
+dist_data = numpy.array([[x, numpy.exp(-x ** 2) + norm.rvs(scale=0.15)] for x in numpy.arange(-3, 3.2, 0.2)])
+funcs = [lambda x: 1, lambda x: x, lambda x: numpy.cos(x), lambda x: numpy.cos(3 * x), lambda x: numpy.cos(6 * x)]
+
+obj = Regressionizer(data).quantile_regression(knots=5, probs=[0.2, 0.5, 0.8])
+
+print(obj.take_value())
+
+print(obj.outliers().take_value())
+
+print(obj.outliers_plot(date_list_plot=True))
+