Muller Helen issues

Results 240 issues of


                                            Muller Helen

大哥可否获取支付宝通讯录朋友的信息

支付宝的通讯录有很多人，包括还有新的朋友，想获取新的朋友的一些用户信息

when we will support keras in our project

it's familiar with using keras in python, when use bigDL, I can use keras api,but it's nested with spark ,so I willing use keras like origin in scala , hope...

how to use pure java api insert node and relationship by bolt api connect ,not. cypher api ?

HI. Neo4j Officer: Now. I have achieve batch insert node and relationship by use pure java api ,like createRelationshipTo() and tx.createNode(Label.label(label)).asInstanceOf[NodeEntity], but now only can insert when the neo4j server...

feature

Can not batch create the relationship use the nodeEntity.createRelationshipTo() java api method?

HI Neo4j Officer: I meet one bug [not sure,maybe it's not correctly call the method ],I want to batch create relationship from two category labels,when the foreign key is same...

bug

team-kernel

How to convert org.neo4j.values.storable.Value obj to org.neo4j.driver.Value obj ?

HI Dear Neo4jer: In my java project ,I use org.neo4j.cypher.internal.runtime.interpreted.pipes.LoadCsvIterator load csv file to org.neo4j.driver.{Record, Result} Record and Result, but first I need use LoadCsvIterator generate org.neo4j.values.storable.Value,but in 4.3.7 actually...

question

team-cypher

bigDL zoo not support spark 3.0 sql dataframe ,please fix up these fault import location,

Hi Sir: bigDL zoo not support spark 3.0 sql dataframe Version "com.intel.analytics.zoo" % "analytics-zoo-bigdl_0.12.1-spark_3.0.0" % "0.9.0" because when I use the val criterion = MSECriterion() val estimator = NNEstimator(model, criterion)...

clearml pipeline demo missing execution queue, no default queue defined and no specific node queue defined

HI when I want to run the demo apply by our web doc office , ``` from clearml.automation.controller import PipelineDecorator,CreateFromFunction,PipelineController from clearml import TaskTypes @PipelineDecorator.component(return_values=['data_frame'], cache=True, task_type=TaskTypes.data_processing) def step_one(pickle_data_url: str,...

Muller Helen