Commit fa2c509

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Algorithmica

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	`1`	`+import sys`
	`2`	`+path = 'E://New Folder/utils'`
	`3`	`+sys.path.append(path)`
	`4`	`+`
	`5`	`+import regression_utils as rutils`
	`6`	`+from sklearn import model_selection`
	`7`	`+`
	`8`	`+`
	`9`	`+#linear pattern in 2d`
	`10`	`+X, y = rutils.generate_linear_synthetic_data_regression(n_samples=200, n_features=1,`
	`11`	`+ n_informative=1,`
	`12`	`+ noise = 100)`
	`13`	`+X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y, test_size=0.1, random_state=1)`
	`14`	`+rutils.plot_data_2d_regression(X_train, y_train)`
	`15`	`+`
	`16`	`+#non-linear pattern in 2d`
	`17`	`+X, y = rutils.generate_nonlinear_synthetic_data_regression(n_samples=200, n_features=1)`
	`18`	`+X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y, test_size=0.1, random_state=1)`
	`19`	`+rutils.plot_data_2d_regression(X_train, y_train)`
	`20`	`+`
	`21`	`+#linear pattern in 3d`
	`22`	`+X, y = rutils.generate_linear_synthetic_data_regression(n_samples=200, n_features=2,`
	`23`	`+ n_informative=2,`
	`24`	`+ noise = 10)`
	`25`	`+X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y, test_size=0.1, random_state=1)`
	`26`	`+rutils.plot_data_3d_regression(X_train, y_train)`

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