class RikaiMlflowClient extends MlflowClient
Client to an MLflow Tracking Sever. Originally from mlflow client 1.21.0
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def
createExperiment(arg0: CreateExperiment): String
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def
createExperiment(arg0: String): String
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def
createRun(arg0: CreateRun): RunInfo
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def
createRun(arg0: String): RunInfo
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def
createRun(): RunInfo
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def
deleteExperiment(arg0: String): Unit
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def
deleteRun(arg0: String): Unit
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def
deleteTag(arg0: String, arg1: String): Unit
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def
downloadArtifacts(arg0: String, arg1: String): File
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def
downloadArtifacts(arg0: String): File
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def
downloadLatestModelVersion(arg0: String, arg1: String): File
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def
downloadModelVersion(arg0: String, arg1: String): File
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def
getExperiment(arg0: String): Response
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- MlflowClient
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def
getExperimentByName(arg0: String): Optional[Experiment]
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def
getLatestVersions(arg0: String, arg1: Iterable[String]): List[ModelVersion]
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def
getLatestVersions(arg0: String): List[ModelVersion]
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def
getMetricHistory(arg0: String, arg1: String): List[Metric]
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def
getModelVersionDownloadUri(arg0: String, arg1: String): String
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def
getRun(arg0: String): Run
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hashCode(): Int
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isInstanceOf[T0]: Boolean
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def
listArtifacts(arg0: String, arg1: String): List[FileInfo]
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def
listArtifacts(arg0: String): List[FileInfo]
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def
listExperiments(): List[Experiment]
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def
listRunInfos(arg0: String): List[RunInfo]
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def
logArtifact(arg0: String, arg1: File, arg2: String): Unit
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def
logArtifact(arg0: String, arg1: File): Unit
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def
logArtifacts(arg0: String, arg1: File, arg2: String): Unit
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def
logArtifacts(arg0: String, arg1: File): Unit
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def
logBatch(arg0: String, arg1: Iterable[Metric], arg2: Iterable[Param], arg3: Iterable[RunTag]): Unit
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def
logMetric(arg0: String, arg1: String, arg2: Double, arg3: Long, arg4: Long): Unit
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def
logMetric(arg0: String, arg1: String, arg2: Double): Unit
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def
logParam(arg0: String, arg1: String, arg2: String): Unit
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notify(): Unit
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notifyAll(): Unit
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def
renameExperiment(arg0: String, arg1: String): Unit
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def
restoreExperiment(arg0: String): Unit
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def
restoreRun(arg0: String): Unit
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def
searchRuns(arg0: List[String], arg1: String, arg2: ViewType, arg3: Int, arg4: List[String], arg5: String): RunsPage
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def
searchRuns(arg0: List[String], arg1: String, arg2: ViewType, arg3: Int, arg4: List[String]): RunsPage
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def
searchRuns(arg0: List[String], arg1: String, arg2: ViewType, arg3: Int): RunsPage
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def
searchRuns(arg0: List[String], arg1: String, arg2: ViewType): List[RunInfo]
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def
searchRuns(arg0: List[String], arg1: String): List[RunInfo]
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def
sendDelete(path: String, json: String): String
Send a DELETE to the following path, with a String-encoded JSON body.
Send a DELETE to the following path, with a String-encoded JSON body. This is mostly an internal API, but allows making lower-level or unsupported requests.
- returns
JSON response from the server.
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def
sendGet(arg0: String): String
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- MlflowClient
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def
sendPatch(arg0: String, arg1: String): String
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def
sendPost(arg0: String, arg1: String): String
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def
setExperimentTag(arg0: String, arg1: String, arg2: String): Unit
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def
setTag(arg0: String, arg1: String, arg2: String): Unit
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def
setTerminated(arg0: String, arg1: RunStatus, arg2: Long): Unit
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def
setTerminated(arg0: String, arg1: RunStatus): Unit
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def
setTerminated(arg0: String): Unit
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toString(): String
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