def LoadConcepts():
from JsonParser import JsonParser
jp = JsonParser()
return jp.LoadFile(
CONCEPTSFILE, debug=True
) # DEBUG - Not the entire line, only the "debug = True" part.
def TestSuiteSimilarityWeights():
print("Loading libraries...")
import numpy as np
from CompoundHandler import CompoundHandler
ch = CompoundHandler(settings, loadAll=True)
from JsonParser import JsonParser
jp = JsonParser()
data = jp.LoadFile(COMPOUNDSFILE)
lambdas = []
mus = []
results = []
for _lambda in np.linspace(settings.MinLambda, settings.MaxLambda,
settings.LambdaSteps):
mu = (settings.MaxLambda - _lambda)
lambdas.append(_lambda)
mus.append(mu)
results.append(
PerformTests(_lambda, mu, settings.Gamma, settings.Delta,
settings.Epsilon, ch, data))
i = 0
for value in results:
print("l: %s m: %s result: %s" % (lambdas[i], mus[i], value))
i += 1
def TestExternalCompoundsRandom():
print("Loading libraries...")
from numpy import random
from scipy.stats.stats import pearsonr
from JsonParser import JsonParser
jp = JsonParser()
data = jp.LoadFile(COMPOUNDSFILE)
while True:
expected = []
results = []
for value in data:
print("== Comparing %s to %s. ==" % (value["one"], value["two"]))
result = random.uniform(0.0, 1.0)
print("Similarity expected - found: %s - %s\n" %
(value["sim"], result))
expected.append(value["sim"])
results.append(result)
print("Pearson correlation, 2-tailed p-value:")
print(pearsonr(expected, results))
print("==============================")
print()
if not TryAgain():
break
def TestExternalCompounds():
print("Loading libraries...")
from scipy.stats.stats import pearsonr
from CompoundHandler import CompoundHandler
ch = CompoundHandler(settings)
from JsonParser import JsonParser
jp = JsonParser()
data = jp.LoadFile(COMPOUNDSFILE)
while True:
if settings.Reload is True:
settings.LoadSettings()
ch.ReloadSettings(settings)
expected = []
results = []
for value in data:
print("== Comparing %s to %s. ==" % (value["one"], value["two"]))
result = ch.GetSimilarity(value["one"], value["two"])
print("Similarity expected - found: %s - %s\n" %
(value["sim"], result))
expected.append(value["sim"])
results.append(result)
print("Pearson correlation, 2-tailed p-value:")
print(pearsonr(expected, results))
print("==============================")
print()
if not TryAgain():
break
def LoadCollections(self, collections):
from JsonParser import JsonParser
jp = JsonParser()
i = 1 # DEBUG
for collection in collections:
self.collections[collection] = jp.LoadFile(collections[collection])
print("Collection %s loaded: %s" %
(i, self.collections[collection])) # DEBUG
i += 1 # DEBUG
def TestSuiteCompoundWeights():
print("Loading libraries...")
import numpy as np
from CompoundHandler import CompoundHandler
ch = CompoundHandler(settings)
from JsonParser import JsonParser
jp = JsonParser()
data = jp.LoadFile(COMPOUNDSFILE)
gammas = []
deltas = []
epsilons = []
results = []
gammanum = 0 # Counts at which gamma value we're at. Increases by one every time we finish a gamma pass, is used to ensure step size is identical for gamma and delta.
for gamma in np.linspace(settings.MinGamma, settings.MaxGamma,
settings.GammaSteps):
for delta in np.linspace(settings.MinGamma, settings.MaxGamma - gamma,
settings.GammaSteps - gammanum):
epsilon = (settings.MaxGamma - gamma - delta) / 2
gammas.append(gamma)
deltas.append(delta)
epsilons.append(epsilon)
results.append(
PerformTests(settings.SpaCyWeight, settings.WordNetWeight,
gamma, delta, epsilon, ch, data))
gammanum += 1
i = 0
pastgamma = gammas[i]
for value in results:
print("g: %s d: %s e: %s result: %s" %
(gammas[i], deltas[i], epsilons[i], value))
i += 1
if i < len(gammas) and pastgamma != gammas[
i]: # Minor readability improvement.
pastgamma = gammas[i]
print()