Found 7 datasets matching "scikit-learn".
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ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
Search relevance: 77.22 | Views last month: 0 -
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW...
Search relevance: 55.11 | Views last month: 0 -
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW...
Search relevance: 53.92 | Views last month: 0 -
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW...
Search relevance: 53.92 | Views last month: 0 -
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW...
Search relevance: 52.65 | Views last month: 0 -
A histrogram-based boosted regression tree (HBRT) method was used to predict the depth to the surficial aquifer water table (in feet) throughout the State of Wisconsin. This method used a...
Search relevance: 39.91 | Views last month: 0 -
Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service)
Note: This LCMS CONUS Cause of Change image service has been deprecated. It has been replaced by the LCMS CONUS Annual Change image service, which provides updated and consolidated change...
Search relevance: 14.09 | Views last month: 0
