Bump to version 0.2 (#328)

* Bump to version 0.2

* address comments

* add docs

* fix docs

Author: neerajprad

docs/source/distributions.rst

@@ -117,6 +117,14 @@ LogNormal
     :show-inheritance:
     :member-order: bysource
 
+MultivariateNormal
+------------------
+.. autoclass:: numpyro.distributions.continuous.MultivariateNormal
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :member-order: bysource
+
 Normal
 ------
 .. autoclass:: numpyro.distributions.continuous.Normal
@@ -265,6 +273,13 @@ Poisson
     :show-inheritance:
     :member-order: bysource
 
+PRNGIdentity
+------------
+.. autoclass:: numpyro.distributions.discrete.PRNGIdentity
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :member-order: bysource
 
 Constraints
 ===========

examples/baseball.py

@@ -197,6 +197,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -132,6 +132,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -59,6 +59,7 @@ def main(args):
 
 
 if __name__ == '__main__':
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -81,6 +81,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -123,6 +123,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -161,6 +161,7 @@ def main(args):
 
 
 if __name__ == '__main__':
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -54,6 +54,7 @@ def body_fn(i, val):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -149,6 +149,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     parser = argparse.ArgumentParser(description="NeuTra HMC")
     parser.add_argument('-n', '--num-samples', nargs='?', default=20000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=0, type=int)

examples/sparse_regression.py

@@ -315,6 +315,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     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

@@ -77,6 +77,7 @@ def main(args):
 
 
 if __name__ == "__main__":
+    assert numpyro.__version__.startswith('0.2.0')
     parser = argparse.ArgumentParser(description="Stochastic Volatility Model")
     parser.add_argument('-n', '--num-samples', nargs='?', default=3000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=1500, type=int)

examples/ucbadmit.py

@@ -104,6 +104,7 @@ def main(args):
 
 
 if __name__ == '__main__':
+    assert numpyro.__version__.startswith('0.2.0')
     parser = argparse.ArgumentParser(description='UCBadmit gender discrimination using HMC')
     parser.add_argument('-n', '--num-samples', nargs='?', default=2000, type=int)
     parser.add_argument('--num-warmup', nargs='?', default=500, type=int)

examples/vae.py

@@ -124,6 +124,7 @@ def reconstruct_img(epoch, rng):
 
 
 if __name__ == '__main__':
+    assert numpyro.__version__.startswith('0.2.0')
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument('-n', '--num-epochs', default=20, type=int, help='number of training epochs')
     parser.add_argument('-lr', '--learning-rate', default=1.0e-3, type=float, help='learning rate')

notebooks/source/bayesian_regression.ipynb

@@ -64,7 +64,8 @@
     "                     'xtick.labelsize': 14,\n",
     "                     'ytick.labelsize': 14,\n",
     "                     'axes.titlesize': 'large', \n",
-    "                     'axes.labelsize': 'medium'})"
+    "                     'axes.labelsize': 'medium'})\n",
+    "assert numpyro.__version__.startswith('0.2.0')\n"
    ]
   },
   {

notebooks/source/logistic_regression.ipynb

@@ -35,7 +35,8 @@
     "from numpyro.examples.datasets import COVTYPE, load_dataset\n",
     "from numpyro.hmc_util import initialize_model\n",
     "from numpyro.mcmc import hmc, mcmc\n",
-    "from numpyro.util import fori_collect"
+    "from numpyro.util import fori_collect\n",
+    "assert numpyro.__version__.startswith('0.2.0')\n"
    ]
   },
   {

notebooks/source/time_series_forecasting.ipynb

@@ -38,7 +38,8 @@
     "from numpyro.diagnostics import autocorrelation, hpdi\n",
     "from numpyro.distributions.util import softmax\n",
     "from numpyro import handlers\n",
-    "from numpyro.mcmc import MCMC, NUTS"
+    "from numpyro.mcmc import MCMC, NUTS\n",
+    "assert numpyro.__version__.startswith('0.2.0')\n"
    ]
   },
   {

numpyro/version.py

@@ -1 +1 @@
-__version__ = '0.1.0'
+__version__ = '0.2.0'

setup.py

@@ -23,7 +23,7 @@
 
 setup(
     name='numpyro',
-    version='0.1.0',
+    version=version,
     description='Pyro PPL on Numpy',
     packages=find_packages(include=['numpyro', 'numpyro.*']),
     url='https://github.com/pyro-ppl/numpyro',