Detail

Model for Predicting Critical Casting Diameters from Characteristic Temperatures

lsschultz_wisc/GB_2
Copy
Scikit-learn estimator
GradientBoostingRegressor
material science metallic glasses

Input

List of records to evaluate with model. Each record is a list of 50 variables.
Type: ndarray
Shape: ['None', '50']

Output

Predictions of the machine learning model.
Type: ndarray
Shape: ['None']

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('lsschultz_wisc/GB_2', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('lsschultz_wisc/GB_2')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation