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Comprehensive API documentation

apache/mxnet
Based on 4 comments
Python

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.

Documentation Python

Reviewer Prompt

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:

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:

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...
"""
4
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Python
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