Neo4j 没有名为';gds.alpha.ml.nodeClassification.train';

Neo4j 没有名为';gds.alpha.ml.nodeClassification.train';,neo4j,cypher,Neo4j,Cypher,Neo.ClientError.Procedure.procedureNotFind没有与 为此注册的名称gds.alpha.ml.nodeClassification.train 数据库实例。请确保已拼写过程名称 并确保程序已正确部署 我已经安装了Graph Data Science Library v1.4.1,我的Neo4j桌面是v1.4.5。beta算法运行良好,但由于某些原因,alpha算法不起作用。我将遵循Neo4j的节点分类官方教程。原始代码,其中是错误: CALL gds.alp

Neo.ClientError.Procedure.procedureNotFind没有与 为此注册的名称
gds.alpha.ml.nodeClassification.train
数据库实例。请确保已拼写过程名称 并确保程序已正确部署

我已经安装了Graph Data Science Library v1.4.1,我的Neo4j桌面是v1.4.5。beta算法运行良好,但由于某些原因,alpha算法不起作用。我将遵循Neo4j的节点分类官方教程。原始代码,其中是错误:

CALL gds.alpha.ml.nodeClassification.train('marvel_model_data', {
   nodeLabels: ['Character'],
   modelName: 'xmen-model-properties',
   featureProperties: ['energy','speed','strength','durability','intelligence'],
   targetProperty: 'is_xman',
   metrics: ['F1_WEIGHTED','ACCURACY'],
   holdoutFraction: 0.2,
   validationFolds: 5,
   randomSeed: 2,
   params: [
       {penalty: 0.0625, maxIterations: 1000},
       {penalty: 0.125, maxIterations: 1000},
       {penalty: 0.25, maxIterations: 1000},
       {penalty: 0.5, maxIterations: 1000},
       {penalty: 1.0, maxIterations: 1000},
       {penalty: 2.0, maxIterations: 1000},
       {penalty: 4.0, maxIterations: 1000}
       ]
    }) YIELD modelInfo
  RETURN
  modelInfo.bestParameters AS winningModel,
  modelInfo.metrics.F1_WEIGHTED.outerTrain AS trainGraphScore,
  modelInfo.metrics.F1_WEIGHTED.test AS testGraphScore