Bump to version 0.2.4 (#530)

Author: neerajprad

examples/baseball.py

@@ -185,7 +185,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Baseball batting average using HMC")
     parser.add_argument("-n", "--num-samples", nargs="?", default=3000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1500, type=int)

examples/bnn.py

@@ -136,7 +136,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Bayesian neural network example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=2000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/covtype.py

@@ -60,7 +60,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument('-n', '--num-samples', default=100, type=int, help='number of samples')
     parser.add_argument('--num-steps', default=10, type=int, help='number of steps (for "HMC")')

examples/funnel.py

@@ -87,7 +87,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Non-centered reparameterization example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/gp.py

@@ -129,7 +129,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=1000, type=int)

examples/hmm.py

@@ -184,7 +184,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description='Semi-supervised Hidden Markov Model')
     parser.add_argument('--num-categories', default=3, type=int)
     parser.add_argument('--num-words', default=10, type=int)

examples/minipyro.py

@@ -58,7 +58,7 @@ def body_fn(i, val):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Mini Pyro demo")
     parser.add_argument("-f", "--full-pyro", action="store_true", default=False)
     parser.add_argument("-n", "--num-steps", default=1001, type=int)

examples/neutra.py

@@ -154,7 +154,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="NeuTra HMC")
     parser.add_argument('-n', '--num-samples', nargs='?', default=4000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1000, type=int)

examples/ode.py

@@ -100,7 +100,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description='Predator-Prey Model')
     parser.add_argument('-n', '--num-samples', nargs='?', default=1000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1000, type=int)

examples/sparse_regression.py

@@ -322,7 +322,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.3')
+    assert numpyro.__version__.startswith('0.2.4')
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs='?', default=500, type=int)