from glyph import gp
from glyph import utils
from toolz import cons
import sys
import os
sys.path.append(os.path.dirname(__file__))
import control_problem
pset = gp.sympy_primitive_set(
categories=["algebraic", "trigonometric", "exponential"],
arguments=["y0", "y1"],
constants=["c"],
)
Individual = gp.Individual(pset=pset, name="Individual")
class AssessmentRunner(assessment.AAssessmentRunner):
"""Define a measure for the fitness assessment.
Uses constant optimization. Optimal values for the constants are stored to
an individual's popt attribute.
"""
def setup(self):
# Setup dynamic system.
self.nperiods = 50.0
self.x = np.linspace(0.0,
self.nperiods * 2.0 * np.pi,
2000,
dtype=np.float64)
import operator
import re
import sys
import dill
import numpy as np
import pytest
import scipy.integrate
from glyph import assessment
from glyph import gp
from glyph.utils.numeric import hill_climb, rms
SingleConstIndividual = gp.Individual(pset=gp.sympy_primitive_set(
categories=['algebraic', 'exponential', 'neg', 'sqrt'],
arguments=['x_0'],
constants=['c']),
name="SingleConstIndividual",
marker="sympy")
TwoConstIndividual = gp.Individual(pset=gp.sympy_primitive_set(
categories=['algebraic', 'exponential', 'neg'],
arguments=['x_0'],
constants=['c_0', 'c_1']),
name="TwoConstIndividual",
marker="sympy")
UnlimitedConstants = gp.Individual(pset=gp.numpy_primitive_set(
1, categories=('algebraic', 'trigonometric', 'exponential', 'symc')),
name="UnlimitedConstants",
marker="symc")
def SympyIndividual():
return gp.Individual(pset=gp.sympy_primitive_set(constants=["c"]),
name="SympyIndividual")
import re
import sys
import dill
import numpy as np
import pytest
import scipy.integrate
from glyph import assessment
from glyph import gp
from glyph.utils.numeric import hill_climb, rms
SingleConstIndividual = gp.Individual(
pset=gp.sympy_primitive_set(
categories=["algebraic", "exponential", "neg", "sqrt"],
arguments=["x_0"],
constants=["c"]),
name="SingleConstIndividual",
marker="sympy",
)
TwoConstIndividual = gp.Individual(
pset=gp.sympy_primitive_set(categories=["algebraic", "exponential", "neg"],
arguments=["x_0"],
constants=["c_0", "c_1"]),
name="TwoConstIndividual",
marker="sympy",
)
UnlimitedConstants = gp.Individual(
pset=gp.numpy_primitive_set(1,
categories=("algebraic", "trigonometric",
def NumpyIndividual():
# 13 for the boston data set
return gp.Individual(gp.numpy_primitive_set(arity=13), "NumpyIndividual")
