flatten results
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@ -69,9 +69,9 @@ def gwr(subquery, dep_var, ind_vars,
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coefficients = []
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stand_errs = []
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t_vals = []
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predicted = model.predy
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predicted = model.predy.flatten()
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residuals = model.resid_response
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r_squared = model.localR2
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r_squared = model.localR2.flatten()
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for idx in xrange(n):
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coefficients.append(json.dumps({var: model.params[idx, k]
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