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@ -584,7 +584,7 @@ class Predict(GNet):
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p = 0 not in df.sum(axis=1).values
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p = 0 not in df.sum(axis=1).values
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x = df.sum(axis=1).values
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x = df.sum(axis=1).values
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if x.max() == 1 and np.divide( np.sum(x), x.size) > .9 or p and np.sum(x) == x.size and x.size == self.values.size:
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if np.divide( np.sum(x), x.size) > .9 or p and np.sum(x) == x.size and x.size == self.values.size:
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ratio.append(np.divide( np.sum(x), x.size))
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ratio.append(np.divide( np.sum(x), x.size))
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found.append(df)
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found.append(df)
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if i == CANDIDATE_COUNT:
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if i == CANDIDATE_COUNT:
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