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Indicate whether a flow with a givern name and external version exists. If it does, return the flow id. If it does not, return a message that it does not.
Examples:
Flow 7000 has name mlr.classif.rpart.tuned and external version R_3.4.0-v2.ddc1acf9. The endpoint returns {"flow_exists":{"exists":"true","id":"7000"}}.
If instead there is no match, it returns {"flow_exists":{"exists":"false","id":"-1"}}.
scikit-learn flows have names that are typically invalid in URLs, for example sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier). These are supported by the POST endpoint by the same path where the parameter values are supplied through the request body: {"name": name, "external_version": external_version}. (See also On flow names, external versions and URI-safe characters #166).
The text was updated successfully, but these errors were encountered:
Indicate whether a flow with a givern name and external version exists. If it does, return the flow id. If it does not, return a message that it does not.
Examples:
mlr.classif.rpart.tuned
and external versionR_3.4.0-v2.ddc1acf9
. The endpoint returns{"flow_exists":{"exists":"true","id":"7000"}}
.{"flow_exists":{"exists":"false","id":"-1"}}
.sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)
. These are supported by thePOST
endpoint by the same path where the parameter values are supplied through the request body:{"name": name, "external_version": external_version}
. (See also On flow names, external versions and URI-safe characters #166).The text was updated successfully, but these errors were encountered: