class Individual(gp.AExpressionTree):
"""The gp representation (genotype) of the actuator for the control problem."""
pset = gp.sympy_primitive_set(categories=['algebraic', 'trigonometric', 'exponential'],
arguments=['y_0', 'y_1'])
def __str__(self):
"""Human readable representation of the individual."""
return str(sympy.sympify(deap.gp.compile(repr(self), self.pset)))
class Individual(gp.individual.AExpressionTree):
"""The gp representation (genotype) of the actuator for the control problem."""
pset = gp.sympy_primitive_set(
categories=["algebraic", "trigonometric", "exponential", "neg"],
arguments=["y_0", "y_1", "y_2"],
constants=["c"],
)
def __str__(self):
"""Human readable representation of the individual."""
return str(sympy.sympify(deap.gp.compile(repr(self), self.pset)))
from glyph import application
from glyph import assessment
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,
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")
import scipy
from glyph import application
from glyph import assessment
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,
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,
def SympyIndividual():
return gp.Individual(pset=gp.sympy_primitive_set(constants=["c"]),
name="SympyIndividual")