Neo4j 没有名为';gds.alpha.ml.nodeClassification.train';
Neo.ClientError.Procedure.procedureNotFind没有与 为此注册的名称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
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