bug fix ...

dev
Steve L. Nyemba 5 years ago
parent 97669f3b6b
commit d72fb6b4e3

@ -578,18 +578,20 @@ class Predict(GNet):
# if we are dealing with numeric values only we can perform a simple marginal sum against the indexes
# The code below will insure we have some acceptable cardinal relationships between id and synthetic values
#
df = pd.DataFrame(np.round(f).astype(np.int32))
df = pd.DataFrame(np.round(f)).astype(np.int32)
p = 0 not in df.sum(axis=1).values
x = df.sum(axis=1).values
if np.divide( np.sum(x), x.size) > .9 or p and np.sum(x) == x.size and x.size == self.values.size:
if np.divide( np.sum(x), x.size) > .9 or p and np.sum(x) == x.size :
ratio.append(np.divide( np.sum(x), x.size))
found.append(df)
if i == CANDIDATE_COUNT:
break
else:
continue
# i = df.T.index.astype(np.int32) #-- These are numeric pseudonyms
@ -597,9 +599,13 @@ class Predict(GNet):
#
# In case we are dealing with actual values like diagnosis codes we can perform
#
_index = [found.index(item) for item in found if item.shape[1] == len(self.values)]
if not _index :
INDEX = np.random.choice(np.arange(len(found)),1)[0]
INDEX = ratio.index(np.max(ratio))
else:
INDEX = _index[0]
INDEX = np.random.choice(np.arange(len(found)),1)[0]
INDEX = ratio.index(np.max(ratio))
df = found[INDEX]
columns = self.ATTRIBUTES['synthetic'] if isinstance(self.ATTRIBUTES['synthetic'],list)else [self.ATTRIBUTES['synthetic']]

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