Module digits

source code

This file imports a sample of handwritten digits (3s), stored as data.

If run from the command line, it plots a sample of 16 randomly selected digits.

Functions

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getdigit(digit)

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training(which=None)

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test(which=None)

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view()
View a sample of the hand-written digits

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Lpen(nx, ny)
Simple way to create "random-walk" Laplacian penalty.

source code

Variables

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__doc__ = ...

data = array([[[-1. , -1. , -1. , ..., -1. , -1. , -...

Variables Details

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doc

Value:

"""
This file imports a sample of handwritten digits (3s), stored
as data.

If run from the command line, it plots a sample of 16 randomly
selected digits.
"""

data

Value:

array([[[-1.   , -1.   , -1.   , ..., -1.   , -1.   , -1.   ],
        [-1.   , -1.   , -1.   , ..., -1.   , -1.   , -1.   ],
        [-1.   , -1.   , -1.   , ..., -1.   , -1.   , -1.   ],
        ..., 
        [-1.   ,  0.075,  1.   , ...,  1.   ,  0.093, -1.   ],
        [-1.   , -0.959, -0.062, ...,  0.583, -0.843, -1.   ],
        [-1.   , -1.   , -1.   , ..., -0.883, -1.   , -1.   ]],

...