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Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I wish I could use cuML to do [...]
QuantileRegressor is missing from cuML
Describe the solution you'd like
A clear and concise description of what you want to happen.
from cuml.linear_model import QuantileRegressor
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
N/A
Additional context
Add any other context, code examples, or references to existing implementations about the feature request here.
QuantileRegression is important for obtaining probabilistic outputs.
Also, GPUs are beefy enough to fit multiple quantiles at once, so that would be a nice addition as well. something like
QuantileRegressor(quantile=[0.05, 0.5, 0.95]) would effectively fit all 3 models in parallel.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I wish I could use cuML to do [...]
QuantileRegressor is missing from cuML
Describe the solution you'd like
A clear and concise description of what you want to happen.
from cuml.linear_model import QuantileRegressor
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
N/A
Additional context
Add any other context, code examples, or references to existing implementations about the feature request here.
QuantileRegression is important for obtaining probabilistic outputs.
Also, GPUs are beefy enough to fit multiple quantiles at once, so that would be a nice addition as well. something like
QuantileRegressor(quantile=[0.05, 0.5, 0.95])
would effectively fit all 3 models in parallel.The text was updated successfully, but these errors were encountered: