evaluate_model(lr)#displays user interface for interactive plotting
```
10. Interpret Tree Based Models
```python
xgboost=create_model('xgboost')
interpret_model(xgboost)
```
11. Saving Model for Deployment
```python
lr=create_model('lr')
save_model(lr,'lr_23122019')
```
Saving Entire Experiment Pipeline
12. Saving Entire Experiment Pipeline
```python
save_experiment('expname1')
```
Loading Model / Experiment
13. Loading Model / Experiment
```python
m=load_model('lr_23122019')
e=load_experiment('expname1')
```
AutoML
14. AutoML
```python
aml1=automl()
```
## Documentation
Documentation work is in progress. They will be uploaded on our website http://www.pycaret.org as soon as they are available. (Target Availability : 21/01/2020)