def lasso_regression_model(parameter_array):
alpha_value = parameter_array[0] #alpha value index is first index
return linear_model.Lasso(alpha=alpha_value, fit_intercept=True, normalize=True, precompute=False, copy_X=True,
max_iter=1000, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic')
#Returns the SVR Linear Kernel model
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