Error

[ukamath]

uday:BOA uday.kamath$ python ./example.py
/Users/uday.kamath/anaconda/lib/python3.6/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
from numpy.core.umath_tests import inner1d
Took 8.330s to generate 18860 rules
Screening rules using information gain
/Users/uday.kamath/BOA/BOAmodel.py:110: RuntimeWarning: divide by zero encountered in log
cond_entropy = -pp*(p1np.log(p1)+(1-p1)np.log(1-p1))-(1-pp)(p2np.log(p2)+(1-p2)np.log(1-p2))
/Users/uday.kamath/BOA/BOAmodel.py:110: RuntimeWarning: invalid value encountered in multiply
cond_entropy = -pp(p1np.log(p1)+(1-p1)np.log(1-p1))-(1-pp)(p2np.log(p2)+(1-p2)np.log(1-p2))
/Users/uday.kamath/BOA/BOAmodel.py:112: RuntimeWarning: divide by zero encountered in log
cond_entropy[p2(1-p2)==0] = -(pp*(p1np.log(p1)+(1-p1)np.log(1-p1)))[p2(1-p2)==0]
/Users/uday.kamath/BOA/BOAmodel.py:112: RuntimeWarning: invalid value encountered in multiply
cond_entropy[p2(1-p2)==0] = -(pp*(p1*np.log(p1)+(1-p1)np.log(1-p1)))[p2(1-p2)==0]
Took 1.395s to generate 2000 rules
Computing sizes for pattern space ...
Took 0.001s to compute patternspace
No or wrong input for alpha_l and beta_l. The model will use default parameters!
Traceback (most recent call last):
File "./example.py", line 39, in
rules = model.SA_patternbased(Niteration,Nchain,print_message=True)
File "/Users/uday.kamath/BOA/BOAmodel.py", line 162, in SA_patternbased
rules_new, rules_norm = self.propose(rules_curr.copy(), rules_curr_norm.copy(),q)
File "/Users/uday.kamath/BOA/BOAmodel.py", line 193, in propose
ex = sample(incorr,1)[0]
File "/Users/uday.kamath/anaconda/lib/python3.6/random.py", line 313, in sample
raise TypeError("Population must be a sequence or set. For dicts, use list(d).")

[ukamath]

resolved it by adding list()