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import unittest | |
import numpy as np | |
from pysr import pysr | |
import sympy | |
class TestPipeline(unittest.TestCase): | |
def setUp(self): | |
self.default_test_kwargs = dict( | |
niterations=10, | |
populations=4, | |
user_input=False, | |
annealing=True, | |
useFrequency=False, | |
) | |
np.random.seed(0) | |
self.X = np.random.randn(100, 5) | |
def test_linear_relation(self): | |
y = self.X[:, 0] | |
equations = pysr(self.X, y, **self.default_test_kwargs) | |
print(equations) | |
self.assertLessEqual(equations.iloc[-1]['MSE'], 1e-4) | |
def test_multioutput_custom_operator(self): | |
y = self.X[:, [0, 1]]**2 | |
equations = pysr(self.X, y, | |
unary_operators=["sq(x) = x^2"], binary_operators=["plus"], | |
extra_sympy_mappings={'square': lambda x: x**2}, | |
**self.default_test_kwargs) | |
print(equations) | |
self.assertLessEqual(equations[0].iloc[-1]['MSE'], 1e-4) | |
self.assertLessEqual(equations[1].iloc[-1]['MSE'], 1e-4) | |
def test_empty_operators_single_input(self): | |
X = np.random.randn(100, 1) | |
y = X[:, 0] + 3.0 | |
equations = pysr(X, y, | |
unary_operators=[], binary_operators=["plus"], | |
**self.default_test_kwargs) | |
print(equations) | |
self.assertLessEqual(equations.iloc[-1]['MSE'], 1e-4) | |