|
--- |
|
license: mit |
|
--- |
|
|
|
## Garden Tutorial Model |
|
|
|
This repo contains a groundbreaking AI model that classifies species of irises by sepal length, sepal width, petal length and petal width. [See here for details on the training dataset.](https://archive.ics.uci.edu/dataset/53/iris) |
|
|
|
`model.joblib` is a serialized RandomForestClasifier trained with sklearn version 1.4.1.post1. The training code is in Train_Model.ipynb. The model accepts a list of iris feature lists like |
|
|
|
``` |
|
[ |
|
[5.5, 2.4, 3.7, 1. ], |
|
[6.3, 2.8, 5.1, 1.5], |
|
[6.4, 3.1, 5.5, 1.8], |
|
[6.6, 3. , 4.4, 1.4], |
|
... |
|
] |
|
``` |
|
|
|
where each list is `[sepal_length, sepal_width, petal_length, petal_width]`. The model outputs an iris category as an integer. 0 is setosa, 1 is versicolor, 2 is virginica. |
