WeichenXu123 commented on pull request #30471:
URL: https://github.com/apache/spark/pull/30471#issuecomment-732578139
Example:
In following:
```
lr1 = LogisticRegression()
lr2 = LogisticRegression(**) #different params setting with lr1
ovs1 = OneVsRest()
hashTF1 = HashTF()
```
(1) `CrossValidator(estimator=lr1, evaluator=ev1)`, tune on paramMaps: [
{lr1.maxIter: 3, lr1.regParam: 0.1}, {lr1.maxIter: 5, lr1.regParam: 0.01} ],
then:
uidMap = {lr1.uid: lr1, ev1.uid: ev1}, all params in estimatorParamMaps
`isJson` = True
(2)
```
pipeline1 = Pipeline(stages=[hashTF1, lr1])
CrossValidator(estimator=pipeline1, evaluator=ev1)
```
, tune on paramMaps: [ {hashTF1.numFeatures: 10, lr1.maxIter: 3},
{hashTF1.numFeatures: 20, lr1.maxIter: 5} ], then:
uidMap = {pipeline1.uid: pipeline1, hashTF1.uid: hashTF1, lr1.uid: lr1,
ev1.uid: ev1}, all params in estimatorParamMaps `isJson` = True
(3)
`CrossValidator(estimator=ovs1, evaluator=ev1)`, tune on paramMaps:
[{ovs1.classifier: lr1}, {ovs1.classifier: lr2}], then
uidMap = {ovs1.uid: ovs1, lr1.uid: lr1, ev1.uid: ev1}, all params in
estimatorParamMaps `isJson` = False (the param values is lr1 or lr2)
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