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import numpy as np | |
from pysr import pysr, sympy2jax | |
from jax import numpy as jnp | |
from jax import random | |
from jax import grad | |
import sympy | |
X = np.random.randn(100, 5) | |
print("Test 1 - defaults; simple linear relation") | |
y = X[:, 0] | |
equations = pysr(X, y, | |
niterations=10, | |
user_input=False) | |
print(equations) | |
assert equations.iloc[-1]['MSE'] < 1e-4 | |
print("Test 2 - test custom operator") | |
y = X[:, 0]**2 | |
equations = pysr(X, y, | |
unary_operators=["sq(x) = x^2"], binary_operators=["plus"], | |
extra_sympy_mappings={'square': lambda x: x**2}, | |
niterations=10, | |
user_input=False) | |
print(equations) | |
assert equations.iloc[-1]['MSE'] < 1e-4 | |
X = np.random.randn(100, 1) | |
y = X[:, 0] + 3.0 | |
print("Test 3 - empty operator list, and single dimension input") | |
equations = pysr(X, y, | |
unary_operators=[], binary_operators=["plus"], | |
niterations=10, | |
user_input=False) | |
print(equations) | |
assert equations.iloc[-1]['MSE'] < 1e-4 | |
print("Test 4 - text JAX export") | |
x, y, z = sympy.symbols('x y z') | |
cosx = 1.0 * sympy.cos(x) + y | |
key = random.PRNGKey(0) | |
X = random.normal(key, (1000, 2)) | |
true = 1.0 * jnp.cos(X[:, 0]) + X[:, 1] | |
f, params = sympy2jax(cosx, [x]) | |
assert jnp.all(jnp.isclose(f(X, params), true)).item() | |