Version 0.1.3 (#228)

Summary:
Add changelog and bump version to 0.1.3.

Pull Request resolved: #228

Test Plan: ran local tests

Reviewed By: sdaulton

Differential Revision: D16754050

Pulled By: Balandat

fbshipit-source-id: 1bc7811b5e15146fe9b4cd88e031fc49211b35ad

Author: Balandat

.conda/meta.yaml

@@ -16,7 +16,7 @@ requirements:
     - python>=3.6
   run:
     - pytorch>=1.2
-    - gpytorch>=0.3.4
+    - gpytorch>=0.3.5
     - scipy
 
 test:

CHANGELOG.md

@@ -3,6 +3,37 @@
 The release log for BoTorch.
 
 
+## [0.1.3] - Aug 9, 2019
+
+Compatibility & maintenance release
+
+#### Compatibility
+* Updates to support breaking changes in PyTorch to boolean masks and tensor
+  comparisons (#224).
+* Require PyTorch >=1.2 (#225).
+* Require GPyTorch >=0.3.5 (itself a compatibility release).
+
+#### New Features
+* Add `FixedFeatureAcquisitionFunction` wrapper that simplifies optimizing
+  acquisition functions over a subset of input features (#219).
+* Add `ScalarizedObjective` for scalarizing posteriors (#210).
+* Change default optimization behavior to use L-BFGS-B by for box constraints
+  (#207).
+
+#### Bug fixes
+* Add validation to candidate generation (#213), making sure constraints are
+  strictly satisfied (rater than just up to numerical accuracy of the optimizer).
+
+#### Minor changes
+* Introduce `AcquisitionObjective` base class (#220).
+* Add propagate_grads context manager, replacing the `propagate_grads` kwarg in
+  model `posterior()` calls (#221)
+* Add `batch_initial_conditions` argument to `joint_optimize()` for
+  warm-starting the optimization (ec3365a37ed02319e0d2bb9bea03aee89b7d9caa).
+* Add `return_best_only` argument to `joint_optimize()` (#216). Useful for
+  implementing advanced warm-starting procedures.
+
+
 ## [0.1.2] - July 9, 2019
 
 Maintenance release

README.md

@@ -51,7 +51,7 @@ Optimization simply use Ax.
 **Installation Requirements**
 - Python >= 3.6
 - PyTorch >= 1.2
-- gpytorch >= 0.3.4
+- gpytorch >= 0.3.5
 - scipy
 
 

botorch/__init__.py

@@ -17,7 +17,7 @@
 from .utils import manual_seed
 
 
-__version__ = "0.1.2"
+__version__ = "0.1.3"
 
 
 __all__ = [

docs/getting_started.md

@@ -15,7 +15,7 @@ Before jumping the gun, we recommend you start with the high-level
 
 - Python >= 3.6
 - PyTorch >= 1.2
-- gpytorch >= 0.3.4
+- gpytorch >= 0.3.5
 - scipy
 
 BoTorch is easily installed via

setup.py

@@ -64,7 +64,7 @@
     long_description=long_description,
     long_description_content_type="text/markdown",
     python_requires=">=3.6",
-    install_requires=["torch>=1.2", "gpytorch>=0.3.4", "scipy"],
+    install_requires=["torch>=1.2", "gpytorch>=0.3.5", "scipy"],
     packages=find_packages(),
     extras_require={
         "dev": DEV_REQUIRES,