Detail

Superconductor critical temperature

rjacobs3_wisc/superconductor_Tc_predictor_gbr
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Scikit-learn estimator
GradientBoostingRegressor
materials science

Input

string of alloy composition to predict, e.g. "Al2O3"
Type: string

Output

Predicted natural log (ln) critical temperature (in K) using gradient boosting regression model
Type: float

Run with DLHub SDK

from dlhub_sdk.client import DLHubClient
X = get_my_data() #replace this
dl = DLHubClient()
dl.run('rjacobs3_wisc/superconductor_Tc_predictor_gbr', X)

Get More Info with DLHub SDK

from dlhub_sdk.client import DLHubClient
dl = DLHubClient()
dl.describe_servable('rjacobs3_wisc/superconductor_Tc_predictor_gbr')

DLHub SDK Installation

pip install dlhub_sdk

DLHub SDK documentation