...` decimal(12,4) NOT NULL DEFAULT 0.0000 COMMENT 實(shí)際付款金額, `logistics_fee` decimal(12,4) NOT NULL COMMENT 運(yùn)費(fèi)金額, `address_id` int(11) NOT NULL COMMENT 收貨地址編碼, `pay_channel` tinyint(4) NOT NULL DE...
Logistics regression from sklearn.linear_model import LogisticRegression clf = LogisticRegression() clf.fit(x_train, y_train) 準(zhǔn)確率與召回率 準(zhǔn)確率:scikit-learn提供了accuracy_score來計(jì)算:LogisticRegression.score()...
...` decimal(12,4) NOT NULL DEFAULT 0.0000 COMMENT 實(shí)際付款金額, `logistics_fee` decimal(12,4) NOT NULL COMMENT 運(yùn)費(fèi)金額, `address_id` int(11) NOT NULL COMMENT 收貨地址編碼, `pay_channel` tinyint(4) NOT NULL DE...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsole.log(companyname); let exp=nu.currentTarget.dataset.name var logistics = [companyname,exp];//保存在一個(gè)數(shù)組中 this.setData({ ShipperCode:logistics[0], LogisticCode:logistics[1...
...nsure([], () => r(require(../page/home/index)), home) // 物流 const logistics = r => require.ensure([], () => r(require(../page/logistics/index)), logistics) // 購物車 const cart = r => require.ensure...
...結(jié)合使用。現(xiàn)在,我們先來看一個(gè)案例。 /** * @api {GET} logistics/policys 查詢簽收預(yù)警策略 * @apiDescription 查詢簽收預(yù)警策略 * @apiGroup QUERY * @apiName logistics/policys * @apiParam {Integer} edition 平臺類型 * @a...
ChatGPT和Sora等AI大模型應(yīng)用,將AI大模型和算力需求的熱度不斷帶上新的臺階。哪里可以獲得...
大模型的訓(xùn)練用4090是不合適的,但推理(inference/serving)用4090不能說合適,...
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