Bump up version to 0.2.2 (#488)

Author: neerajprad

examples/baseball.py

@@ -182,7 +182,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -133,7 +133,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -57,7 +57,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -84,7 +84,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -126,7 +126,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -180,7 +180,7 @@ def main(args):
 
 
 if __name__ == '__main__':
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -55,7 +55,7 @@ def body_fn(i, val):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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

@@ -151,7 +151,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     parser = argparse.ArgumentParser(description="NeuTra HMC")
     parser.add_argument('-n', '--num-samples', nargs='?', default=10000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1000, type=int)

examples/sparse_regression.py

@@ -319,7 +319,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     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)

examples/stochastic_volatility.py

@@ -108,7 +108,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith('0.2.1')
+    assert numpyro.__version__.startswith('0.2.2')
     parser = argparse.ArgumentParser(description="Stochastic Volatility Model")
     parser.add_argument('-n', '--num-samples', nargs='?', default=600, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=600, type=int)