<!--
title: Comprehensive API documentation
domain: ml-systems
topic: Documentation
language: Python
source: apache/mxnet
updated: 2021-10-03
url: https://awesomereviewers.com/reviewers/mxnet-comprehensive-api-documentation/
-->

Ensure all API elements are thoroughly documented following a consistent format. This includes:

1. **All function parameters** must have descriptive documentation that explains their purpose, expected values, and default behaviors.

2. **Follow established documentation formats** for consistency across the codebase. Reference existing well-documented functions as templates.

3. **Document relationships between APIs** by clearly indicating when functions are aliases or standardized versions of other APIs, including appropriate references.

4. **Include practical examples** in documentation to demonstrate usage patterns.

Example of proper parameter documentation:
```python
parser.add_argument('--batch_size', type=int, default=64,
                   help='Number of samples per training batch')
parser.add_argument('--learning_rate', type=float, default=0.001,
                   help='Initial learning rate for training')
```

Example of documenting API relationships:
```python
atan = arctan
atan.__doc__ = """
    Trigonometric inverse tangent, element-wise.
    The inverse of tan, so that if ``y = tan(x)`` then ``x = atan(y)``.

    Notes
    ---------
    `atan` is a standard API in the Array API Standard
    (https://data-apis.org/array-api/latest/API_specification/elementwise_functions.html#atan-x)
    and is equivalent to `arctan`.
    
    >>>np.atan is np.arctan
    True
    
    Parameters
    ----------
    # parameter documentation follows...
"""
```