Merge pull request #337 from EducationalTestingService/release/1.3

v1.3 release

conda-recipe/skll/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: skll
-  version: 1.2.1
+  version: 1.3
 
 source:
   path: ../../../skll

doc/getting_started.rst

@@ -2,13 +2,13 @@
 
 Installation
 ============
-SKLL can easily be installed via pip::
+SKLL can be installed via ``pip`` for any Python version::
 
     pip install skll
 
-or via conda::
+or via ``conda`` (only for Python 3.4)::
 
-    conda install -c desilinguist skll
+    conda install -c desilinguist python=3.4 skll
 
 It can also be downloaded directly from
 `GitHub <http://github.com/EducationalTestingService/skll>`_.

doc/run_experiment.rst

@@ -805,7 +805,7 @@ SVC
     .. code-block:: python
 
        [{'C': [0.01, 0.1, 1.0, 10.0, 100.0],
-         'gamma': [0.01, 0.1, 1.0, 10.0, 100.0]}]
+         'gamma': ['auto', 0.01, 0.1, 1.0, 10.0, 100.0]}]
 
 SVR
     .. code-block:: python

skll/experiments.py

@@ -1064,6 +1064,10 @@ def run_configuration(config_file, local=False, overwrite=True, queue='all.q',
             _generate_learning_curve_plots(experiment_name,
                                            results_path,
                                            output_file_path)
+        else:
+            logger.warning("Raw data for the learning curve saved in "
+                           "{}. No plots were generated since pandas and "
+                           "seaborn are not installed. ".format(output_file_path))
 
     return result_json_paths
 

skll/version.py

@@ -7,5 +7,5 @@
 :organization: ETS
 """
 
-__version__ = '1.2.1'
+__version__ = '1.3'
 VERSION = tuple(int(x) for x in __version__.split('.'))