Restart From Last Checkpoint¶

First, we'll initialize a client with our server credentials and store it in the variable dai.

In [1]:

import driverlessai

dai = driverlessai.Client(address='http://localhost:12345', username='py', password='py')

import driverlessai dai = driverlessai.Client(address='http://localhost:12345', username='py', password='py')

Then, we get the most recent version of an experiment with 'iris' in the name.

In [11]:

ex = [ex for ex in dai.experiments.list() if 'iris' in ex.name][0]

ex = [ex for ex in dai.experiments.list() if 'iris' in ex.name][0]

Finally, we'll use the experiment's retrain() method to start a new experiment from a smart checkpoint.

In [12]:

ex.retrain(use_smart_checkpoint=True)

ex.retrain(use_smart_checkpoint=True)

Experiment launched at: http://localhost:12345/#experiment?key=4238412c-6003-11ea-919d-0242ac110002
Complete 100% - Status: Complete                                            

Out[12]:

<class 'driverlessai.experiments.Model'> 4238412c-6003-11ea-919d-0242ac110002