metadata
datasets:
- scikit-learn/iris
widget:
structuredData:
SepalLengthCm:
- 5.1
- 4.9
- 6.2
SepalWidthCm:
- 3.5
- 3
- 3.4
PetalLengthCm:
- 1.4
- 1.4
- 5.4
PetalWidthCm:
- 0.2
- 0.2
- 2.3
tags:
- tabular-classification
How to use
import joblib
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
REPO_ID = "d2i-pti-iu/test_svc_model"
FILENAME = "iris_svm.joblib"
model = joblib.load("/d2i-pti-iu/test_svc_model/iris_svm.joblib")
iris = load_iris()
X = iris.data[:3]
labels = model.predict(X)