Update documentation for tabular regression task and installation instructions

Author: ravinkohli

autoPyTorch/api/tabular_regression.py

@@ -187,7 +187,11 @@ def search(
                 configurations, similar to (...herepathtogreedy...).
                 Additionally, the keyword 'greedy' is supported,
                 which would use the default portfolio from
-                `AutoPyTorch Tabular <https://arxiv.org/abs/2006.13799>`
+                `AutoPyTorch Tabular <https://arxiv.org/abs/2006.13799>`.
+                Although portfolio selection is supported for tabular
+                regression, the portfolio has been built using
+                classification datasets. We will update a portfolio
+                to cover tabular regression datasets.
 
         Returns:
             self

docs/api.rst

@@ -16,3 +16,11 @@ Classification
 .. autoclass:: autoPyTorch.api.tabular_classification.TabularClassificationTask
     :members:
     :inherited-members: search, refit, predict, score
+
+~~~~~~~~~~~~~~
+Regression
+~~~~~~~~~~~~~~
+
+.. autoclass:: autoPyTorch.api.tabular_regression.TabularRegressionTask
+    :members:
+    :inherited-members: search, refit, predict, score

docs/conf.py

@@ -62,10 +62,10 @@
 # Sphinx-gallery configuration.
 
 # get current branch
-binder_branch = 'refactor_development'
+binder_branch = 'development'
 import autoPyTorch
 if "dev" in autoPyTorch.__version__:
-    binder_branch = "refactor_development"
+    binder_branch = "development"
 
 sphinx_gallery_conf = {
     # path to the examples

docs/installation.rst

@@ -11,7 +11,7 @@ System requirements
 
 Auto-PyTorch has the following system requirements:
 
-* Linux operating system (for example Ubuntu) `(get Linux here) <https://www.wikihow.com/Install-Linux>`_,
+* Linux operating system (for example Ubuntu), Mac OS X `(get Linux here) <https://www.wikihow.com/Install-Linux>`_,
 * Python (>=3.6) `(get Python here) <https://www.python.org/downloads/>`_.
 * C++ compiler (with C++11 supports) `(get GCC here) <https://www.tutorialspoint.com/How-to-Install-Cplusplus-Compiler-on-Linux>`_ and
 * SWIG (version 3.0.* is required; >=4.0.0 is not supported) `(get SWIG here) <http://www.swig.org/survey.html>`_.
@@ -23,7 +23,11 @@ Installing Auto-Pytorch
 
     conda create -n autopytorch python=3.8
     conda activate autopytorch
-    conda install gxx_linux-64 gcc_linux-64 swig
+    For Linux:
+        conda install gxx_linux-64 gcc_linux-64 swig
+    For mac:
+        conda install -c conda-forge clang_osx-64 clangxx_osx-64
+        conda install -c anaconda swig
     cat requirements.txt | xargs -n 1 -L 1 pip install
     python setup.py install