object AssertionDLModel extends ReadsAssertionGraph with ReadablePretrainedAssertionDL with Serializable
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Inherited
- AssertionDLModel
- Serializable
- Serializable
- ReadablePretrainedAssertionDL
- HasPretrained
- ReadsAssertionGraph
- ReadTensorflowModel
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
- AnyRef
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Value Members
-
def
addReader(reader: (AssertionDLModel, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
-
val
defaultLang: String
- Definition Classes
- HasPretrained
-
lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
-
def
load(path: String): AssertionDLModel
- Definition Classes
- MLReadable
- Annotations
- @Since( "1.6.0" )
-
def
pretrained(name: String, lang: String): AssertionDLModel
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
-
def
pretrained(name: String): AssertionDLModel
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
-
def
pretrained(): AssertionDLModel
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
-
def
pretrained(name: String, lang: String, remoteLoc: String): AssertionDLModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedAssertionDL → HasPretrained
-
def
read: MLReader[AssertionDLModel]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readAssertionGraph(instance: AssertionDLModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadsAssertionGraph
-
def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, savedSignatures: Option[Map[String, String]]): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
val
tfFile: String
- Definition Classes
- ReadsAssertionGraph → ReadTensorflowModel