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kwinkunks / Modulate_colourmap_with_opacity.ipynb
Last active October 26, 2023 09:12
Combining maps with matplotlib, by mapping one with a colourmap and the other with opacity.
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kwinkunks / Should_you_scale_the_target_in_regression_tasks.ipynb
Created July 31, 2023 13:29
When, if ever, should you scale the target in a regression task?
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kwinkunks / dtw.md
Created April 16, 2023 21:40
Dynmic time (or whatever!) warping libraries
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kwinkunks / Unmapping.ipynb
Created March 20, 2023 06:50
Unmapping colours from pseudocolour images
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kwinkunks / docstrings_and_doctests.py
Last active March 8, 2023 15:52
*Docstrings* and *doctests* are nice ways to get started with the topics of documentation and testing. The idea is to write the string that shows up when you do `help(some_function)` and in particular to include examples of how to call your function. The beautiful thing is that we can check that those examples work as advertised, a very useful …
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def has_illegal_chars(string: str, illegal: str = ',;"!+=') -> bool:
"""
Detect the presence of illegal characters in a string.
By default, illegal characters are: `,;"!+=`
Args:
string: A string of text of any length.
illegal: A sequence of characters that are not allowed.
Returns:
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kwinkunks / Mis-steps_in_machine_learning.ipynb
Created January 19, 2023 09:20
A notebook showing a simple data science exploration, but with mis-steps for discussion and teaching purposes
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kwinkunks / Image_grid.py
Created October 16, 2022 13:01
Reshape a 4D array into a image grid
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"""
Given a 4D array of shape (n, h, w, c) representing n images of shape (h, w, c),
make a single image consisting of a regular grid of smaller images.
License: MIT No attribution
"""
import numpy as np
def reshape(arr, rows, cols, pixels=False):
"""Reshapes a 4D array into a grid of images.
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kwinkunks / Recover_data_with_known_colourmap.ipynb
Last active September 14, 2022 14:39
Demo of recovering data from an image with a known colourmap. Thank you to David Johnstone (Manchester) for the data example.
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kwinkunks / sdhe.py
Last active June 29, 2022 17:19
Confidence analysis of standard deviational ellipse and its extension into higher dimensional Euclidean space
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# Properties of the scaled standard deviational hyperellipsoid.
#
# Author: Matt Hall, kwinkunks@gmail.com
# Copyright: 2022, Matt Hall
# Licence: Apache 2.0, https://www.apache.org/licenses/LICENSE-2.0
#
# These small functions implement n-dimensional lookup of the beta-distribution
# approximation to this problem. They answer the questions, "What proportion
# of a multivariate Gaussian distribution is contained by `r` standard
# deviations?" and "How many standard deviations contain a proportion `p` of
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kwinkunks / Adding_features.md
Created June 17, 2022 18:16
Why does adding features sometimes make a worse classifier?
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