Detail

Iris SVM (test publication)

boser_uchicago/everybody_iris_test_svm,
Copy
M Everybody
Scikit-learn estimator
SVC

Input

List of records to evaluate with model. Each record is a list of 4 variables.
Type: ndarray
Shape: ['None', '4']

Output

Probabilities for membership in each of 3 classes
Type: ndarray
Shape: ['None', '3']

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('boser_uchicago/everybody_iris_test_svm,', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('boser_uchicago/everybody_iris_test_svm,')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation