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Running
on
CPU Upgrade
import type { TaskDataCustom } from "../Types"; | |
const taskData: TaskDataCustom = { | |
datasets: [ | |
{ | |
description: "A comprehensive curation of datasets covering all benchmarks.", | |
id: "inria-soda/tabular-benchmark", | |
}, | |
], | |
demo: { | |
inputs: [ | |
{ | |
table: [ | |
["Car Name", "Horsepower", "Weight"], | |
["ford torino", "140", "3,449"], | |
["amc hornet", "97", "2,774"], | |
["toyota corolla", "65", "1,773"], | |
], | |
type: "tabular", | |
}, | |
], | |
outputs: [ | |
{ | |
table: [["MPG (miles per gallon)"], ["17"], ["18"], ["31"]], | |
type: "tabular", | |
}, | |
], | |
}, | |
metrics: [ | |
{ | |
description: "", | |
id: "mse", | |
}, | |
{ | |
description: | |
"Coefficient of determination (or R-squared) is a measure of how well the model fits the data. Higher R-squared is considered a better fit.", | |
id: "r-squared", | |
}, | |
], | |
models: [ | |
{ | |
description: "Fish weight prediction based on length measurements and species.", | |
id: "scikit-learn/Fish-Weight", | |
}, | |
], | |
spaces: [ | |
{ | |
description: "An application that can predict weight of a fish based on set of attributes.", | |
id: "scikit-learn/fish-weight-prediction", | |
}, | |
], | |
summary: "Tabular regression is the task of predicting a numerical value given a set of attributes.", | |
widgetModels: ["scikit-learn/Fish-Weight"], | |
youtubeId: "", | |
}; | |
export default taskData; | |