Software
========

Here are some auto-generated descriptions of some of the software used. *train_test_split, mean_squared_error, DecisionTreeRegressor,* and *GridSearchCV* are from *sklearn*, the rest was part of this project.

Evaluating Model Performance
----------------------------

Splitting the Data
~~~~~~~~~~~~~~~~~~

.. currentmodule:: boston_housing.evaluating_model_performance

.. autosummary::
   :toctree: api

   shuffle_split_data

.. currentmodule:: sklearn.cross_validation
.. autosummary::
   :toctree: api

   train_test_split

The Performance Metric
~~~~~~~~~~~~~~~~~~~~~~

.. currentmodule:: boston_housing.evaluating_model_performance
.. autosummary::
   :toctree: api

   performance_metric

.. currentmodule:: sklearn.metrics
.. autosummary::
   :toctree: api

   mean_squared_error

Decision Tree Regressor
~~~~~~~~~~~~~~~~~~~~~~~

.. currentmodule:: boston_housing.evaluating_model_performance
.. autosummary::
   :toctree: api

   fit_model

.. currentmodule:: sklearn.tree
.. autosummary::
   :toctree: api

   DecisionTreeRegressor

Grid Search
~~~~~~~~~~~

.. currentmodule:: sklearn.grid_search

.. autosummary::
   :toctree: api

   GridSearchCV

Analyzing Model Performance
---------------------------

.. currentmodule:: boston_housing.analyzing_model_performance
.. autosummary::
   :toctree: api

   learning_curves
   model_complexity

Model Prediction
----------------

.. currentmodule:: scikits.bootstrap
.. autosummary::
   :toctree: api

   ci