| | --- |
| | 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 1.3.1. 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. |
