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feat: 创建主动学习实验

pull/197/head
zhaowei 9 months ago
parent
9f53669df8
commit
69451e57d0
6 changed files with 582 additions and 210 deletions
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  1. +4
    -3
      react-ui/src/pages/ActiveLearn/Create/index.tsx
  2. +124
    -40
      react-ui/src/pages/ActiveLearn/components/BasicInfo/index.tsx
  3. +378
    -110
      react-ui/src/pages/ActiveLearn/components/CreateForm/ExecuteConfig.tsx
  4. +39
    -44
      react-ui/src/pages/ActiveLearn/components/CreateForm/utils.ts
  5. +34
    -10
      react-ui/src/pages/ActiveLearn/types.ts
  6. +3
    -3
      react-ui/src/pages/AutoML/components/ExperimentList/index.tsx

+ 4
- 3
react-ui/src/pages/ActiveLearn/Create/index.tsx View File

@@ -4,6 +4,7 @@
* @Description: 创建实验
*/
import PageTitle from '@/components/PageTitle';
import { AutoMLTaskType } from '@/enums';
import {
addActiveLearnReq,
getActiveLearnInfoReq,
@@ -98,7 +99,7 @@ function CreateActiveLearn() {

return (
<div className={styles['create-hyperparameter']}>
<PageTitle title={title} tooltip="仅支持二分类及多分类任务"></PageTitle>
<PageTitle title={title}></PageTitle>
<div className={styles['create-hyperparameter__content']}>
<div>
<Form
@@ -111,8 +112,8 @@ function CreateActiveLearn() {
autoComplete="off"
scrollToFirstError
initialValues={{
test_ratio: 0.3,
initial_label_rate: 0.1,
task_type: AutoMLTaskType.Classification,
shuffle: false,
}}
>
<BasicConfig />


+ 124
- 40
react-ui/src/pages/ActiveLearn/components/BasicInfo/index.tsx View File

@@ -1,16 +1,26 @@
import ConfigInfo, { type BasicInfoData } from '@/components/ConfigInfo';
import { AutoMLTaskType, autoMLTaskTypeOptions } from '@/enums';
import { useComputingResource } from '@/hooks/useComputingResource';
import {
classifierAlgorithms,
performanceMetrics,
FrameworkType,
frameworkTypeOptions,
queryStrategies,
stoppingCriterions,
StoppingCriterionsType,
regressorAlgorithms,
} from '@/pages/ActiveLearn/components/CreateForm/utils';
import { ActiveLearnData } from '@/pages/ActiveLearn/types';
import { experimentStatusInfo } from '@/pages/Experiment/status';
import { type NodeStatus } from '@/types';
import { elapsedTime } from '@/utils/date';
import { formatDataset, formatDate, formatEnum } from '@/utils/format';
import {
formatBoolean,
formatCodeConfig,
formatDataset,
formatDate,
formatEnum,
formatMirror,
formatModel,
} from '@/utils/format';
import { Flex } from 'antd';
import classNames from 'classnames';
import { useMemo } from 'react';
@@ -24,6 +34,7 @@ type BasicInfoProps = {
};

function BasicInfo({ info, className, runStatus, isInstance = false }: BasicInfoProps) {
const getResourceDescription = useComputingResource()[1];
const basicDatas: BasicInfoData[] = useMemo(() => {
if (!info) {
return [];
@@ -59,47 +70,68 @@ function BasicInfo({ info, className, runStatus, isInstance = false }: BasicInfo
if (!info) {
return [];
}
let stopping_criterion_params_title = '';
let stopping_criterion_params_value: number | undefined = undefined;
if (info.stopping_criterion === StoppingCriterionsType.NumOfQueries) {
stopping_criterion_params_title = '查询次数';
stopping_criterion_params_value = info.num_of_queries;
} else if (info.stopping_criterion === StoppingCriterionsType.PercentOfUnlabel) {
stopping_criterion_params_title = '未标记比例';
stopping_criterion_params_value = info.percent_of_unlabel;
} else {
stopping_criterion_params_title = '时间限制';
stopping_criterion_params_value = info.time_limit;
}

return [
const modelInfo = [
{
label: '分类算法',
value: info.classifier_type,
format: formatEnum(classifierAlgorithms),
label: '模型',
value: info.model,
format: formatModel,
},
{
label: '停止判则',
value: info.stopping_criterion,
format: formatEnum(stoppingCriterions),
label: '模型文件路径',
value: info.model_py,
},
{
label: stopping_criterion_params_title,
value: stopping_criterion_params_value,
label: '模型类名称',
value: info.model_class_name,
},
];

const lossInfo = [
{
label: '查询策略',
value: info.query_strategy,
format: formatEnum(queryStrategies),
label: 'loss文件路径',
value: info.loss_py,
},
{
label: '试验次数',
value: info.num_of_experiment,
label: 'loss类名',
value: info.loss_class_name,
},
];

const algorithmInfo = [
{
label: '指标',
value: info.performance_metric,
format: formatEnum(performanceMetrics),
label: info.task_type === AutoMLTaskType.Regression ? '回归算法' : '分类算法',
value:
info.task_type === AutoMLTaskType.Regression ? info.regressor_alg : info.classifier_alg,
format: formatEnum(
info.task_type === AutoMLTaskType.Regression ? regressorAlgorithms : classifierAlgorithms,
),
},
];

const diffInfo =
info.framework_type === FrameworkType.Pytorch
? [...modelInfo, ...lossInfo]
: info.framework_type === FrameworkType.Keras
? modelInfo
: algorithmInfo;

return [
{
label: '任务类型',
value: info.task_type,
format: formatEnum(autoMLTaskTypeOptions),
},
{
label: '框架类型',
value: info.framework_type,
format: formatEnum(frameworkTypeOptions),
},
...diffInfo,
{
label: '代码配置',
value: info.code_config,
format: formatCodeConfig,
},
{
label: '数据集',
@@ -107,19 +139,71 @@ function BasicInfo({ info, className, runStatus, isInstance = false }: BasicInfo
format: formatDataset,
},
{
label: '预测目标列',
value: info.target_columns,
label: '数据集处理文件路径',
value: info.dataset_py,
},
{
label: '数据集类名',
value: info.dataset_class_name,
},
{
label: '镜像',
value: info.image,
format: formatMirror,
},
{
label: '测试集比率',
value: info.test_ratio,
label: '资源规格',
value: info.computing_resource_id,
format: getResourceDescription,
},
{
label: '初始标记数据比率',
value: info.initial_label_rate,
label: '是否打乱',
value: info.shuffle,
format: formatBoolean,
},
{
label: '数据量',
value: info.data_size,
},
{
label: '训练集数据量',
value: info.train_size,
},
{
label: '初始训练数据量',
value: info.ninitial,
},
{
label: '查询次数',
value: info.nqueries,
},
{
label: '每次查询数据量',
value: info.ninstances,
},
{
label: '查询策略',
value: info.query_strategy,
format: formatEnum(queryStrategies),
},
{
label: '轮数',
value: info.ncheckpoint,
},
{
label: 'batch_size',
value: info.batch_size,
},
{
label: 'epochs',
value: info.epochs,
},
{
label: '学习率',
value: info.lr,
},
];
}, [info]);
}, [info, getResourceDescription]);

const instanceDatas = useMemo(() => {
if (!runStatus) {


+ 378
- 110
react-ui/src/pages/ActiveLearn/components/CreateForm/ExecuteConfig.tsx View File

@@ -1,18 +1,22 @@
import CodeSelect from '@/components/CodeSelect';
import ParameterSelect from '@/components/ParameterSelect';
import ResourceSelect, {
requiredValidator,
ResourceSelectorType,
} from '@/components/ResourceSelect';
import SubAreaTitle from '@/components/SubAreaTitle';
import { Col, Form, Input, InputNumber, Row, Select } from 'antd';
import { AutoMLTaskType, autoMLTaskTypeOptions } from '@/enums';
import { Col, Form, Input, InputNumber, Radio, Row, Select, Switch } from 'antd';
import {
classifierAlgorithms,
performanceMetrics,
FrameworkType,
frameworkTypeOptions,
queryStrategies,
stoppingCriterions,
StoppingCriterionsType,
regressorAlgorithms,
} from './utils';

function ExecuteConfig() {
const form = Form.useFormInstance();
return (
<>
<SubAreaTitle
@@ -24,21 +28,14 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="分类算法"
name="classifier_type"
rules={[
{
required: true,
message: '请选择分类算法',
},
]}
label="任务类型"
name="task_type"
rules={[{ required: true, message: '请选择任务类型' }]}
>
<Select
placeholder="请选择分类算法"
options={classifierAlgorithms}
showSearch
allowClear
/>
<Radio.Group
options={autoMLTaskTypeOptions}
onChange={() => form.resetFields(['metrics'])}
></Radio.Group>
</Form.Item>
</Col>
</Row>
@@ -46,18 +43,18 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="停止判则"
name="stopping_criterion"
label="框架类型"
name="framework_type"
rules={[
{
required: true,
message: '请选择停止判则',
message: '请选择框架类型',
},
]}
>
<Select
placeholder="请选择停止判则"
options={stoppingCriterions}
placeholder="请选择框架类型"
options={frameworkTypeOptions}
showSearch
allowClear
/>
@@ -65,66 +62,169 @@ function ExecuteConfig() {
</Col>
</Row>

<Form.Item dependencies={['stopping_criterion']} noStyle>
<Form.Item dependencies={['task_type', 'framework_type']} noStyle>
{({ getFieldValue }) => {
const stopping_criterion = getFieldValue('stopping_criterion');
if (stopping_criterion === StoppingCriterionsType.NumOfQueries) {
return (
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="查询次数"
name="num_of_queries"
rules={[
{
required: true,
message: '请输入查询次数',
},
]}
>
<InputNumber placeholder="请输入查询次数" min={0} precision={0} />
</Form.Item>
</Col>
</Row>
);
} else if (stopping_criterion === StoppingCriterionsType.PercentOfUnlabel) {
const taskType = getFieldValue('task_type');
const frameworkType = getFieldValue('framework_type');
if (frameworkType === FrameworkType.Keras || frameworkType === FrameworkType.Pytorch) {
return (
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="未标记比例"
name="percent_of_unlabel"
rules={[
{
required: true,
message: '请输入未标记比例',
},
]}
>
<InputNumber placeholder="请输入未标记比例" min={0} />
</Form.Item>
</Col>
</Row>
);
} else if (stopping_criterion === StoppingCriterionsType.TimeLimit) {
return (
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="时间限制"
name="time_limit"
rules={[
{
required: true,
message: '请输入时间限制',
},
]}
>
<InputNumber placeholder="请输入时间限制" min={0} />
</Form.Item>
</Col>
</Row>
<>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="模型"
name="model"
rules={[
{
validator: requiredValidator,
message: '请选择模型',
},
]}
required
>
<ResourceSelect
type={ResourceSelectorType.Model}
placeholder="请选择模型"
canInput={false}
size="large"
/>
</Form.Item>
</Col>
</Row>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="模型文件路径"
name="model_py"
rules={[
{
required: true,
message: '请输入模型文件路径',
},
]}
>
<Input placeholder="请输入模型文件路径" maxLength={64} showCount allowClear />
</Form.Item>
</Col>
</Row>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="模型类名称"
name="model_class_name"
rules={[
{
required: true,
message: '请输入模型类名称',
},
]}
>
<Input placeholder="请输入模型类名称" maxLength={64} showCount allowClear />
</Form.Item>
</Col>
</Row>
{frameworkType === FrameworkType.Pytorch ? (
<>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="loss 文件路径"
name="loss_py"
rules={[
{
required: true,
message: '请输入 loss 文件路径',
},
]}
>
<Input
placeholder="请输入 loss 文件路径"
maxLength={64}
showCount
allowClear
/>
</Form.Item>
</Col>
</Row>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="loss类名"
name="loss_class_name"
rules={[
{
required: true,
message: '请输入 loss 类名',
},
]}
>
<Input
placeholder="请输入 loss 类名"
maxLength={64}
showCount
allowClear
/>
</Form.Item>
</Col>
</Row>
</>
) : null}
</>
);
} else if (frameworkType === FrameworkType.Sklearn) {
if (taskType === AutoMLTaskType.Classification) {
return (
<>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="分类算法"
name="classifier_alg"
rules={[
{
required: true,
message: '请选择分类算法',
},
]}
>
<Select
placeholder="请选择分类算法"
options={classifierAlgorithms}
showSearch
allowClear
/>
</Form.Item>
</Col>
</Row>
</>
);
} else {
return (
<>
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="回归算法"
name="regressor_alg"
rules={[
{
required: true,
message: '请选择回归算法',
},
]}
>
<Select
placeholder="请选择回归算法"
options={regressorAlgorithms}
showSearch
allowClear
/>
</Form.Item>
</Col>
</Row>
</>
);
}
} else {
return null;
}
@@ -134,16 +234,57 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="查询策略"
name="query_strategy"
label="代码配置"
name="code_config"
rules={[
{
validator: requiredValidator,
message: '请选择代码配置',
},
]}
required
>
<CodeSelect placeholder="请选择代码配置" canInput={false} size="large" />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="数据集"
name="dataset"
rules={[
{
validator: requiredValidator,
message: '请选择数据集',
},
]}
required
>
<ResourceSelect
type={ResourceSelectorType.Dataset}
placeholder="请选择数据集"
canInput={false}
size="large"
/>
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="数据集处理文件路径"
name="dataset_py"
rules={[
{
required: true,
message: '请选择查询策略',
message: '请输入数据集处理文件路径',
},
]}
>
<Select placeholder="请选择查询策略" options={queryStrategies} showSearch allowClear />
<Input placeholder="请输入数据集处理文件路径" maxLength={64} showCount allowClear />
</Form.Item>
</Col>
</Row>
@@ -151,16 +292,16 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="试验次数"
name="num_of_experiment"
label="数据集类名"
name="dataset_class_name"
rules={[
{
required: true,
message: '请输入试验次数',
message: '请输入数据集类名',
},
]}
>
<InputNumber placeholder="请输入试验次数" min={0} precision={0} />
<Input placeholder="请输入数据集类名" maxLength={64} showCount allowClear />
</Form.Item>
</Col>
</Row>
@@ -168,16 +309,16 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="指标"
name="performance_metric"
label="数据量"
name="data_size"
rules={[
{
required: true,
message: '请选择指标',
message: '请输入数据量',
},
]}
>
<Select placeholder="请选择指标" options={performanceMetrics} showSearch allowClear />
<InputNumber placeholder="请输入数据量" min={0} precision={0} />
</Form.Item>
</Col>
</Row>
@@ -185,21 +326,20 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="数据集"
name="dataset"
label="镜像"
name="image"
rules={[
{
validator: requiredValidator,
message: '请选择数据集',
message: '请选择镜像',
},
]}
required
>
<ResourceSelect
type={ResourceSelectorType.Dataset}
placeholder="请选择数据集"
type={ResourceSelectorType.Mirror}
placeholder="请选择镜像"
canInput={false}
size="large"
/>
</Form.Item>
</Col>
@@ -208,16 +348,144 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="预测目标列"
name="target_columns"
label="资源规格"
name="computing_resource_id"
rules={[
{
required: true,
message: '请选择资源规格',
},
]}
>
<ParameterSelect dataType="resource" placeholder="请选择资源规格" />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item label="是否随机打乱" name="shuffle" valuePropName="checked">
<Switch />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="训练集数据量"
name="train_size"
rules={[
{
required: true,
message: '请输入训练集数据量',
},
]}
>
<InputNumber placeholder="请输入训练集数据量" min={0} precision={0} />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="初始训练数据量"
name="ninitial"
rules={[
{
required: true,
message: '请输入初始训练数据量',
},
]}
>
<InputNumber placeholder="请输入初始训练数据量" min={0} precision={0} />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="查询次数"
name="nqueries"
rules={[
{
required: true,
message: '请输入查询次数量',
},
]}
>
<InputNumber placeholder="请输入查询次数" min={0} precision={0} />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="每次查询数据量"
name="ninstances"
rules={[
{
required: true,
message: '请输入每次查询数据量',
},
]}
>
<InputNumber placeholder="请输入每次查询数据量" min={0} precision={0} />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="查询策略"
name="query_strategy"
rules={[
{
required: true,
message: '请选择查询策略',
},
]}
>
<Select placeholder="请选择查询策略" options={queryStrategies} showSearch allowClear />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="轮数"
name="ncheckpoint"
rules={[
{
required: true,
message: '请输入轮数',
},
]}
tooltip="多少轮查询保存一次模型参数"
>
<InputNumber placeholder="请输入轮数" min={0} precision={0} />
</Form.Item>
</Col>
</Row>

<Row gutter={8}>
<Col span={10}>
<Form.Item
label="batch_size"
name="batch_size"
rules={[
{
required: true,
message: '请输入预测目标列',
message: '请输入 batch_size',
},
]}
>
<Input placeholder="请输入预测目标列" maxLength={256} showCount allowClear />
<InputNumber placeholder="请输入 batch_size" min={0} precision={0} />
</Form.Item>
</Col>
</Row>
@@ -225,16 +493,16 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="测试集比率"
name="test_ratio"
label="epochs"
name="epochs"
rules={[
{
required: true,
message: '请输入测试集比率',
message: '请输入epochs',
},
]}
>
<InputNumber placeholder="请输入测试集比率" min={0} />
<InputNumber placeholder="请输入epochs" min={0} precision={0} />
</Form.Item>
</Col>
</Row>
@@ -242,16 +510,16 @@ function ExecuteConfig() {
<Row gutter={8}>
<Col span={10}>
<Form.Item
label="初始标记数据比率"
name="initial_label_rate"
label="学习率"
name="lr"
rules={[
{
required: true,
message: '请输入初始标记数据比率',
message: '请输入学习率',
},
]}
>
<InputNumber placeholder="请输入初始标记数据比率" min={0} />
<InputNumber placeholder="请输入学习率" min={0} />
</Form.Item>
</Col>
</Row>


+ 39
- 44
react-ui/src/pages/ActiveLearn/components/CreateForm/utils.ts View File

@@ -26,72 +26,67 @@ export const classifierAlgorithms = [
},
];

export enum StoppingCriterionsType {
NumOfQueries = 'num_of_queries',
PercentOfUnlabel = 'percent_of_unlabel',
TimeLimit = 'time_limit',
}

// 停止判则
export const stoppingCriterions = [
// 回归算法
export const regressorAlgorithms = [
{
label: 'num_of_queries（查询次数）',
value: 'num_of_queries',
label: 'bayesian_ridge（岭回归）',
value: 'bayesian_ridge',
},
{
label: 'percent_of_unlabel（未标记样本比例）',
value: 'percent_of_unlabel',
label: 'ARD_regression（自动相关性确定回归）',
value: 'ARD_regression',
},
{
label: 'time_limit（时间限制）',
value: 'time_limit',
},
label: 'gaussian_process（高斯回归）',
value: 'gaussian_process',
}
];

// 查询策略
export const queryStrategies = [
{
label: 'Uncertainty（不确定性）',
value: 'Uncertainty',
},
// 框架类型
export enum FrameworkType {
Sklearn = 'sklearn',
Keras = 'keras',
Pytorch = 'pytorch',
}

// 框架类型选项
export const frameworkTypeOptions = [
{
label: 'QBC（委员会查询）',
value: 'QBC',
label: FrameworkType.Sklearn,
value: FrameworkType.Sklearn,
},
{
label: 'Random（随机）',
value: 'Random',
label: FrameworkType.Keras,
value: FrameworkType.Keras,
},
{
label: 'GraphDensity（图密度）',
value: 'GraphDensity',
label: FrameworkType.Pytorch,
value: FrameworkType.Pytorch,
},
];

// 指标
export const performanceMetrics = [
{
label: 'accuracy_score',
value: 'accuracy_score',
},

// 查询策略
export const queryStrategies = [
{
label: 'roc_auc_score',
value: 'roc_auc_score',
label: 'uncertainty_sampling',
value: 'uncertainty_sampling',
},
{
label: 'get_fps_tps_thresholds',
value: 'get_fps_tps_thresholds',
label: 'uncertainty_batch_sampling',
value: 'uncertainty_batch_sampling',
},
{
label: 'hamming_loss',
value: 'hamming_loss',
label: 'max_std_sampling',
value: 'max_std_sampling',
},
{
label: 'one_error',
value: 'one_error',
label: 'expected_improvement',
value: 'expected_improvement',
},
{
label: 'coverage_error',
value: 'coverage_error',
},
label: 'upper_confidence_bound',
value: 'upper_confidence_bound',
}
];


+ 34
- 10
react-ui/src/pages/ActiveLearn/types.ts View File

@@ -1,5 +1,14 @@
/*
* @Author: error: error: git config user.name & please set dead value or install git && error: git config user.email & please set dead value or install git & please set dead value or install git
* @Date: 2025-04-18 08:40:03
* @LastEditors: error: error: git config user.name & please set dead value or install git && error: git config user.email & please set dead value or install git & please set dead value or install git
* @LastEditTime: 2025-04-18 11:30:21
* @FilePath: \ci4s\react-ui\src\pages\ActiveLearn\types.ts
* @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
*/
import { type ParameterInputObject } from '@/components/ResourceSelect';
import { type NodeStatus } from '@/types';
import { AutoMLTaskType } from '@/enums';

// 操作类型
export enum OperationType {
@@ -11,18 +20,33 @@ export enum OperationType {
export type FormData = {
name: string; // 实验名称
description: string; // 实验描述
task_type: AutoMLTaskType; // 任务类型
framework_type: string; // 框架类型
code_config: ParameterInputObject; // 代码配置
model?: ParameterInputObject; // 模型
model_py?: string; // 模型文件路径
model_class_name?: string; // 模型类名称
loss_py?: string; // loss文件路径
loss_class_name?: string; // loss类名
classifier_alg?: string; // 分类算法
regressor_alg?: string; // 回归算法
dataset: ParameterInputObject; // 数据集
classifier_type: string; // 分类算法
stopping_criterion: string; // 停止判则
dataset_py: string; // dataset处理文件路径
dataset_class_name: string; // dataset类名
data_size: number; // 数据量
train_size: number; // 训练集数据量
ninitial: number; // 初始训练数据量
nqueries: number; // 查询次数
ninstances: number; // 每次查询数据量
computing_resource_id: number; // 资源规格
image: ParameterInputObject; // 镜像
shuffle: boolean; // 是否随机打乱
query_strategy: string; // 查询策略
num_of_experiment: number; // 试验次数
performance_metric: string; // 指标
target_columns: string; // 预测目标列
test_ratio: number; // 测试集比率
initial_label_rate: number; // 初始标记数据比率
num_of_queries?: number; // 查询次数
percent_of_unlabel: number; // 未标记比例
time_limit: number; // 时间限制
ncheckpoint: number; // 多少轮查询保存一次模型参数
batch_size: number; // batch_size
epochs: number; // epochs
lr: number; // 学习率
};

// 主动学习


+ 3
- 3
react-ui/src/pages/AutoML/components/ExperimentList/index.tsx View File

@@ -63,7 +63,7 @@ function ExperimentList({ type }: ExperimentListProps) {
const params: Record<string, any> = {
page: pagination.current! - 1,
size: pagination.pageSize,
ml_name: searchText || undefined,
[config.nameProperty]: searchText || undefined,
};
const request = config.getListReq;
const [res] = await to(request(params));
@@ -248,7 +248,7 @@ function ExperimentList({ type }: ExperimentListProps) {
{
title: '实验名称',
dataIndex: config.nameProperty,
key: 'ml_name',
key: 'name',
width: '16%',
render: tableCellRender(false, TableCellValueType.Link, {
onClick: gotoDetail,
@@ -257,7 +257,7 @@ function ExperimentList({ type }: ExperimentListProps) {
{
title: '实验描述',
dataIndex: config.descProperty,
key: 'ml_description',
key: 'description',
render: tableCellRender(true),
},
{


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