Client Integration (scikit-learn)

This example takes scikit-learn's MNIST SVM example and incorportates Verta's Client integration.



In [1]:

    
HOST = "app.verta.ai"

PROJECT_NAME = "MNIST Multiclassification"
EXPERIMENT_NAME = "SVM"



In [2]:

    
# import os
# os.environ['VERTA_EMAIL'] = 
# os.environ['VERTA_DEV_KEY'] =



In [3]:

    
from verta import Client

client = Client(HOST)
proj = client.set_project(PROJECT_NAME)
expt = client.set_experiment(EXPERIMENT_NAME)

Imports



In [4]:

    
from __future__ import print_function

from sklearn import datasets, svm, metrics
from sklearn.model_selection import train_test_split

Log Workflow

Prepare Data



In [5]:

    
digits = datasets.load_digits()
n_samples = len(digits.images)
data = digits.images.reshape((n_samples, -1))

X_train, X_test, y_train, y_test = train_test_split(
    data, digits.target, test_size=0.5, shuffle=False)

Define Model



In [6]:

    
classifier = svm.SVC(gamma=0.001)

Run and Log Training



In [7]:

    
run = client.set_experiment_run()



In [8]:

    
import verta.integrations.sklearn


classifier.fit(X_train, y_train, run=run)



In [9]:

    
run