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test func represent flow basic function

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This commit is contained in:
Remi Ehounou
2021-05-21 23:12:10 -04:00
parent bcf73992f0
commit 89bf06da6c
4 changed files with 29 additions and 25 deletions
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17
SourceCode/AlgorithmAnalyser.py
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@@ -111,7 +111,7 @@ def writerepresentation(funcpath, charas):
# create a string format of the representation variables
representation = ''
for line in list(charas):
representation += '\n\t#_# ' + line + ': ' + str(charas[line])
representation += '\n\t#_# ' + line + ': ' + str(charas[line]).replace('\n', ',')
representation+='\n'
# Creating the new docstring to be inserted into the file
@@ -159,18 +159,23 @@ def representfunc(funcpath):
###
lower =-10
upper = 10
X = flacco.createInitialSample(n_obs = 500, dim = 2, control = rlist(init_sample_type = 'lhs', init_sample_lower = lower, init_sample_upper = upper))
X = flacco.createInitialSample(n_obs = 500, dim = n, control = rlist(init_sample_type = 'lhs', init_sample_lower = lower, init_sample_upper = upper))
y = rapply(X, 1, rtestfunc)
testfuncobj = flacco.createFeatureObject(X = X, y = y, fun = rtestfunc, lower = lower, upper = upper, blocks = 10)
rawfeats = flacco.calculateFeatureSet(testfuncobj, set='ela_meta')
pyfeat = asarray(rawfeats)
# these are the retained features. Note that some features are being excluded for being problematic and to avoid overcomplicating the neural network
# the excluded feature sets are: 'bt', 'ela_level'
# feature sets that require special attention: 'cm_angle', 'cm_grad', 'limo', 'gcm' (soo big with some nans),
featureset = ['cm_angle','cm_conv','cm_grad','ela_conv','ela_curv','ela_distr','ela_local','ela_meta','basic','disp','limo','nbc','pca','gcm','ic']
pyfeats = dict()
for feature in featureset:
rawfeats = flacco.calculateFeatureSet(testfuncobj, set=feature)
pyfeats[feature] = asarray(rawfeats)
writerepresentation(funcpath, results)
writerepresentation(funcpath, pyfeats)
return results