鸿蒙 AI 实战：MindSpore Lite Kit 实现文档智能分类

在文档管理场景中，我们基于 MindSpore Lite Kit 实现毫秒级文档分类，核心实现代码如下：

typescript

// 1. 模型初始化配置

const classificationModel = await mindspore.createModel({

  modelPath: 'models/doc_classifier.ms',

  accelerator: mindspore.Accelerator.NPU,

  config: {

    precisionMode: mindspore.PrecisionMode.FP16,

    dynamicShape: true,

    performanceMode: mindspore.PerformanceMode.HIGH

  }

})

// 2. 文档特征提取

const docFeatures = await mindspore.featureExtractor.extract({

  text: docContent,

  images: docImages,

  options: {

    language: 'auto',

    embedType: mindspore.EmbedType.HYBRID,

    dimension: 512

  }

})

// 3. 实时分类预测

const classificationResults = await classificationModel.predict({

  input: docFeatures,

  params: {

    topK: 3,

    minConfidence: 0.7,

    labelMap: await loadLabelMap('labels/legal_categories.json')

  },

  callback: (progress) => updateClassificationProgress(progress)

})

// 4. 自适应学习

const incrementalLearner = new mindspore.IncrementalLearner({

  baseModel: classificationModel,

  updatePolicy: {

    batchSize: 32,

    learningRate: 0.001,

    epochs: 5

  },

  onNewCategory: (label) => rebuildLabelIndex(label)

})

// 5. 结果可视化

const visualizer = new mindspore.ClassificationVisualizer({

  results: classificationResults,

  theme: mindspore.VisualTheme.DARK,

  interactive: true

})

uiContainer.addComponent(visualizer.render())

//关键技术组件：

//混合精度加速：

typescript

mindspore.setMixedPrecision({

  model: classificationModel,

  keepLayers: ['attention', 'embedding'],

  targetType: mindspore.DataType.FP16

})

//动态批处理：

typescript

const batcher = new mindspore.DynamicBatcher({

  maxBatchSize: 16,

  timeout: 50, // ms

  paddingStrategy: mindspore.PaddingStrategy.AUTO

})

//多模型集成：

typescript

const ensemble = new mindspore.ModelEnsemble([

  { model: 'text_classifier', weight: 0.6 },

  { model: 'layout_classifier', weight: 0.4 }

], { fusionAlgorithm: 'weighted_average' })

//持续学习系统：

typescript

const activeLearner = new mindspore.ActiveLearner({

  queryStrategy: 'uncertainty_sampling',

  humanLabeler: (samples) => showLabelingUI(samples)

})

//概念漂移检测：

typescript

const driftDetector = new mindspore.ConceptDriftDetector({

  warningThreshold: 0.15,

  alarmThreshold: 0.25,

  windowSize: 1000

})

//可解释性分析：

typescript

const explainer = new mindspore.SHAPExplainer({

  backgroundSamples: 100,

  featureNames: getFeatureNames()

})

//部署注意事项：

//模型加密：

typescript

mindspore.protectModel({

  modelPath: 'models/encrypted_model.ms',

  key: await getHardwareKey()

})

//资源监控：

typescript

mindspore.monitorResourceUsage({

  interval: 1000,

  callback: (usage) => adjustWorkload(usage)

})

典型应用场景：

企业法务文档自动归类

金融单据智能分拣

工程图纸自动归档

医疗报告结构化处理