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import { resolveProvider } from "../../lib/getInferenceProviderMapping.js";
import { getProviderHelper } from "../../lib/getProviderHelper.js";
import type { BaseArgs, Options } from "../../types.js";
import { innerRequest } from "../../utils/request.js";
export type TabularClassificationArgs = BaseArgs & {
inputs: {
/**
* A table of data represented as a dict of list where entries are headers and the lists are all the values, all lists must have the same size.
*/
data: Record<string, string[]>;
};
};
/**
* A list of predicted labels for each row
*/
export type TabularClassificationOutput = number[];
/**
* Predicts target label for a given set of features in tabular form.
* Typically, you will want to train a classification model on your training data and use it with your new data of the same format.
* Example model: vvmnnnkv/wine-quality
*/
export async function tabularClassification(
args: TabularClassificationArgs,
options?: Options
): Promise<TabularClassificationOutput> {
const provider = await resolveProvider(args.provider, args.model, args.endpointUrl);
const providerHelper = getProviderHelper(provider, "tabular-classification");
const { data: res } = await innerRequest<TabularClassificationOutput>(args, providerHelper, {
...options,
task: "tabular-classification",
});
return providerHelper.getResponse(res);
}
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