1.1.1 (fsschneider#2)

* do not include baseline in package

* update to 1.1.1

Author: fsschneider

README.md

@@ -3,6 +3,9 @@
 ![DeepOBS](docs/deepobs_banner.png "DeepOBS")
 
 [![Documentation Status](https://readthedocs.org/projects/deepobs/badge/?version=latest)](https://deepobs.readthedocs.io/en/latest/?badge=latest)
+[![Build Status](https://travis-ci.com/fsschneider/deepobs.svg?branch=master)](https://travis-ci.com/username/projectname)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
 
 **DeepOBS** is a benchmarking suite that drastically simplifies, automates and
 improves the evaluation of deep learning optimizers.
@@ -39,10 +42,7 @@ as the data preprocessing scripts or the visualization features.
 
 ## Installation
 
-	pip install git+https://github.com/fsschneider/DeepOBS.git
-
-Note, that the installation process can take a while as it will also
-automatically download all baseline results.
+	pip install deepobs
 
 We tested the package with Python 3.6 and TensorFlow version 1.12. Other
 versions of Python and TensorFlow (>= 1.4.0) might work, and we plan to expand

deepobs/analyzer/analyze_utils.py

@@ -5,6 +5,7 @@
 import matplotlib.pyplot as plt
 from matplotlib2tikz import save as tikz_save
 from matplotlib2tikz import get_tikz_code
+from .. import tensorflow
 
 
 class Analyzer:
@@ -108,10 +109,13 @@ def _get_conv_perf(self):
             float: Convergence performance for this test problem
 
         """
-        with open(
-                os.path.join(get_baseline_path(),
-                             "convergence_performance.json"), "r") as f:
-            return json.load(f)[self.name]
+        try:
+            with open(os.path.join(tensorflow.config.get_baseline_dir(),
+                         "convergence_performance.json"), "r") as f:
+                return json.load(f)[self.name]
+        except IOError:
+            print("Warning: Could not find a convergence performance file.")
+            return 0.0
 
 
 class OptimizerAnalyzer:
@@ -993,14 +997,3 @@ def add_color_coding_tex(input):
         return "\cca{" + str(int(input)) + "}"
     else:
         return ""
-
-
-def get_baseline_path():
-    """Returns the path to the baseline results of DeepOBS.
-
-    Returns:
-        str: Path to the baselines of DeepOBS.
-
-    """
-    this_dir, this_filename = os.path.split(__file__)
-    return os.path.join((os.path.dirname(this_dir)), "baselines/")