New Model with Same Parameters¶

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 [8]:

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 with the same parameters. We can override specific settings by passing them as keyword arguments. For example here, we change the accuracy setting to 5.

In [9]:

ex.retrain(accuracy=5)

ex.retrain(accuracy=5)

Experiment launched at: http://localhost:12345/#experiment?key=88a04af2-6002-11ea-919d-0242ac110002
Complete 100% - Status: Complete                                                  

Out[9]:

<class 'driverlessai.experiments.Model'> 88a04af2-6002-11ea-919d-0242ac110002