### How to use

```python

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/iris_test/iris_svm.joblib")
iris = load_iris()

X = iris.data[:3]
Y = iris.target[:3]
labels = model.predict(X)
```



#### Eval

```python
model.score(X, Y)
```
{"tags": ["tabular-classification", "sklearn"], "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]}}}
sklearn joblib tabular-classification has_space region:us
TAGS
#sklearn #joblib #tabular-classification #has_space #region-us 

### How to use





#### Eval


### How to use #### Eval
TAGS
#sklearn #joblib #tabular-classification #has_space #region-us 
 ### How to use #### Eval