fix issue with numpy 2.0 in BRL

imodels/rule_list/bayesian_rule_list/brl_util.py

@@ -60,7 +60,7 @@
 from collections import defaultdict
 
 from numpy import *
-import numpy
+import numpy as np
 from scipy.special import gammaln
 from scipy.stats import poisson, beta
 
@@ -357,7 +357,10 @@ def bayesdl_mcmc(numiters, thinning, alpha, lbda, eta, X, Y, nruleslen, lhs_len,
 def initialize_d(X, Y, lbda, eta, lhs_len, maxlhs, nruleslen):
     '''Samples a list from the prior
     '''
-    m = numpy.Inf
+    try:
+        m = np.inf
+    except:
+        m = np.Inf
     while m >= len(X):
         # sample the length of the list from Poisson(lbda), truncated at len(X)
         m = poisson.rvs(lbda)
@@ -493,7 +496,7 @@ def prior_calculations(lbda, maxlen, eta, maxlhs):
         try:
             logalpha_pmf[i] = poisson.logpmf(i, lbda)
         except RuntimeWarning:
-            logalpha_pmf[i] = -inf
+            logalpha_pmf[i] = -np.inf
     logbeta_pmf = {}
     for i in range(1, maxlhs + 1):
         logbeta_pmf[i] = poisson.logpmf(i, eta)

setup.py

@@ -9,9 +9,9 @@
 required_pypi = [
     'matplotlib',
     'mlxtend>=0.18.0',  # some lower versions are missing fpgrowth
-    'numpy<2.0.0',
+    'numpy',
     # tested with pandas 2.2.2 (but installing this pandas version will try to use newer np versions)
-    'pandas<2.2.2',
+    'pandas',
     'requests',  # used in c4.5
     'scipy',
     'scikit-learn>=1.2.0',  # recently updated this