January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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The Iris flower dataset
Perhaps the most well-studied dataset, the Iris flower dataset (https://archive.ics.uci.edu/ml/datasets/Iris) contains measurements of the sepal and petal parts of three Iris species (Iris setosa, Iris virginica, and Iris versicolor), as taken by biologists in 1936.
The dataset contains 50 samples from each of the three species, and consists of the following four features:
- sepal_length (cm)
- sepal_width (cm)
- petal_length (cm)
- petal_width (cm)
This dataset is directly available via the sklearn library, and can be initialized as follows:
from sklearn import datasetsdata = datasets.load_iris()X = data['data']y = data['target']
In our experiments, we will be using an MLP classifier in conjunction with this dataset and ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.