Make doc formatting more consistent, update copy

docs/parameters.rst

@@ -27,13 +27,15 @@ Here is the full list of configuration parameters you can specify in a ``config.
 
 **imagery**: string
 	Label Maker expects to receive imagery tiles that are 256 x 256 pixels. You can specific the source of the imagery with one of:
+
+	- A template string for a tiled imagery service. Note that you will generally need an API key to obtain images and there may be associated costs. The above example requires a `Mapbox access token <https://www.mapbox.com/help/how-access-tokens-work/>`_. Also see `OpenAerialMap <https://openaerialmap.org/>`_ for open imagery. The access token for TMS image formats can be read from an environment variable ``'https://api.mapbox.com/v4/mapbox.satellite/{z}/{x}/{y}.jpg?access_token={ACCESS_TOKEN}'`` or added directly the imagery string. 
+	- A GeoTIFF file location. Works with local files: ``'http://oin-hotosm.s3.amazonaws.com/593ede5ee407d70011386139/0/3041615b-2bdb-40c5-b834-36f580baca29.tif'``
+	- Remote files like a `WMS endpoint <http://www.opengeospatial.org/standards/wms>`_ ``GetMap`` request. Fill out all necessary parameters except ``bbox`` which should be set as ``{bbox}``. Ex:
+
+	  .. code-block:: none
 
- 		A template string for a tiled imagery service. Note that you will generally need an API key to obtain images and there may be associated costs. The above example requires a `Mapbox access token <https://www.mapbox.com/help/how-access-tokens-work/>`_. Also see `OpenAerialMap <https://openaerialmap.org/>`_ for open imagery.
-		The access token for TMS image formats can be read from an environment variable https://api.mapbox.com/v4/mapbox.satellite/{z}/{x}/{y}.jpg?access_token={ACCESS_TOKEN}" or added directly the imagery string. 
+	    'https://basemap.nationalmap.gov/arcgis/services/USGSImageryOnly/MapServer/WMSServer?SERVICE=WMS&REQUEST=GetMap&VERSION=1.1.1&LAYERS=0&STYLES=&FORMAT=image%2Fjpeg&TRANSPARENT=false&HEIGHT=256&WIDTH=256&SRS=EPSG%3A3857&BBOX={bbox}'
 
- 		A GeoTIFF file location. Works with local files: ``'http://oin-hotosm.s3.amazonaws.com/593ede5ee407d70011386139/0/3041615b-2bdb-40c5-b834-36f580baca29.tif'``
-
- 		Remote files like a `WMS endpoint <http://www.opengeospatial.org/standards/wms>`_ ``GetMap`` request. Fill out all necessary parameters except ``bbox`` which should be set as ``{bbox}``. Ex: ``'https://basemap.nationalmap.gov/arcgis/services/USGSImageryOnly/MapServer/WMSServer?SERVICE=WMS&REQUEST=GetMap&VERSION=1.1.1&LAYERS=0&STYLES=&FORMAT=image%2Fjpeg&TRANSPARENT=false&HEIGHT=256&WIDTH=256&SRS=EPSG%3A3857&BBOX={bbox}'``
 
 **http_auth**: list
 	Optional parameter to specify a username and password for restricted WMS services. For example, ``['my_username', 'my_password']``.
@@ -45,7 +47,7 @@ Here is the full list of configuration parameters you can specify in a ``config.
 	One of ``'classification'``, ``'object-detection'``, or ``'segmentation'``. This defines the output format for the final label numpy arrays (``y_train`` and ``y_test``).
 
  	``'classification'``
- 		Output is an array of ``len(classes) + 1``. Each array value will be either `1` or `0` based on whether it matches the class at the same index. The additional array element belongs to the background class, which will always be the first element.
+ 		Output is an array of ``len(classes) + 1``. Each array value will be either 1 or 0 based on whether it matches the class at the same index. The additional array element belongs to the background class, which will always be the first element.
 
  	``'object-detection'``
  		Output is an array of bounding boxes of the form ``[xmin, ymin, width, height, class_index]``. In this case, the values are pixel values measured from the upper left-hand corner (not latitude and longitude values). Each feature is tested against each class, so if a feature matches two or more classes, it will have the corresponding number of bounding boxes created.
@@ -57,22 +59,25 @@ Here is the full list of configuration parameters you can specify in a ``config.
     Random generator seed. Optional, use to make results reproducible.
 
 **split_vals**: list
-    Default: `[0.8, 0.2]`
-    Percentage of data to put in each category listed in split_names. Must be a list of floats that sum to one and match the length of `split-names`. For train, validate, and test data, a list like `[0.7, 0.2, 0.1]` is suggested.
+    Default: ``[0.8, 0.2]``
+
+    Percentage of data to put in each category listed in split_names. Must be a list of floats that sum to one and match the length of ``split-names``. For train, validate, and test data, a list like ``[0.7, 0.2, 0.1]`` is suggested.
 
 **split_names**: list
-    Default: `['train', 'test']`
-    List of names for each subset of the data. Length of list must match length of `split_vals`.
+    Default: ``['train', 'test']``
+
+    List of names for each subset of the data. Length of list must match length of ``split_vals``.
 
 **imagery_offset**:  list of ints
 	An optional list of integers representing the number of pixels to offset imagery. For example ``[15, -5]`` will move the images 15 pixels right and 5 pixels up relative to the requested tile bounds.
 
 **tms_image_format**: string
-    An option string that has the downloaded imagery's format such as `.jpg` or `.png` when it isn't provided by the endpoint
+    An option string that has the downloaded imagery's format such as ``.jpg`` or ``.png`` when it isn't provided by the endpoint
 
 **over_zoom**: int
- 	An integer greater than 0. If set for XYZ tiles, it will fetch tiles from `zoom` + `over_zoom`, to create higher resolution tiles which fill out the bounds of the original zoom level.
+ 	An integer greater than 0. If set for XYZ tiles, it will fetch tiles from ``zoom`` + ``over_zoom``, to create higher resolution tiles which fill out the bounds of the original zoom level.
 
 **band_indices**: list
-	A list of band indices to pull from a tiff. Defaults to (1, 2, 3) if not specified. For using non-RGB tifs, ie MultiSpectral tifs this should be over-written
-	for example to [5, 3, 2, 7] to extract Red, Green, Blue, and NIR bands from the MultiSpectral spacenet challenge imagery.
+    Default: ``[1, 2, 3]``
+
+    A list of band indices to pull from a TIF. Using the `SpaceNet Roads Challenge Data <https://spacenet.ai/spacenet-roads-dataset/>`_ as an example, you can use ``[5, 3, 2, 7]`` to extract the Red, Green, Blue, and NIR bands respectively.