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  "Description": "Fits engression models for nonlinear distributional\nregression. Predictors and targets can be univariate or\nmultivariate. Functionality includes estimation of conditional\nmean, estimation of conditional quantiles, or sampling from the\nfitted distribution. Training is done full-batch on CPU (the\npython version offers GPU-accelerated stochastic gradient\ndescent). Based on \"Engression: Extrapolation through the lens\nof distributional regression\" by Xinwei Shen and Nicolai\nMeinshausen (2024) in JRSSB. Also supports classification\n(experimental). <doi:10.1093/jrsssb/qkae108>.",
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