ModelSchema

Class representing the schema of a CNTK model

name: name of the model architecture
dataset: dataset the model was trained on
modelType: type of problem the model is suited for eg: (image, text, sound, sentiment etc)
uri: location of the underlying file (local, HDFS, or HTTP)
hash: sha256 hash of the underlying file
size: size in bytes of the underlying file
inputNode: the node which represents the input
numLayers: the number of layers of the model
layerNames: the names nodes that represent layers in the network

Linear Supertypes

Serializable, Serializable, Product, Equals, Schema, AnyRef, Any

Instance Constructors

new ModelSchema(name: String, dataset: String, modelType: String, uri: URI, hash: String, size: Long, inputNode: Int, numLayers: Int, layerNames: ArrayList[String])
new ModelSchema(name: String, dataset: String, modelType: String, uri: URI, hash: String, size: Long, inputNode: Int, numLayers: Int, layerNames: Array[String])

name
name of the model architecture
dataset
dataset the model was trained on
modelType
type of problem the model is suited for eg: (image, text, sound, sentiment etc)
uri
location of the underlying file (local, HDFS, or HTTP)
hash
sha256 hash of the underlying file
size
size in bytes of the underlying file
inputNode
the node which represents the input
numLayers
the number of layers of the model
layerNames
the names nodes that represent layers in the network

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def assertMatchingHash(bytes: InputStream): Unit

Definition Classes
Schema
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val dataset: String

dataset the model was trained on
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
val hash: String

sha256 hash of the underlying file
sha256 hash of the underlying file

Definition Classes
ModelSchema → Schema
val inputNode: Int

the node which represents the input
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val layerNames: Array[String]

the names nodes that represent layers in the network
val modelType: String

type of problem the model is suited for eg: (image, text, sound, sentiment etc)
val name: String

name of the model architecture
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numLayers: Int

the number of layers of the model
val size: Long

size in bytes of the underlying file
size in bytes of the underlying file

Definition Classes
ModelSchema → Schema
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def updateURI(newURI: URI): ModelSchema.this.type

Definition Classes
ModelSchema → Schema
val uri: URI

location of the underlying file (local, HDFS, or HTTP)
location of the underlying file (local, HDFS, or HTTP)

Definition Classes
ModelSchema → Schema
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package downloader

case class ModelSchema(name: String, dataset: String, modelType: String, uri: URI, hash: String, size: Long, inputNode: Int, numLayers: Int, layerNames: Array[String]) extends Schema with Product with Serializable

Instance Constructors

new ModelSchema(name: String, dataset: String, modelType: String, uri: URI, hash: String, size: Long, inputNode: Int, numLayers: Int, layerNames: ArrayList[String])

new ModelSchema(name: String, dataset: String, modelType: String, uri: URI, hash: String, size: Long, inputNode: Int, numLayers: Int, layerNames: Array[String])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def assertMatchingHash(bytes: InputStream): Unit

def clone(): AnyRef

val dataset: String

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

val hash: String

val inputNode: Int

final def isInstanceOf[T0]: Boolean

val layerNames: Array[String]

val modelType: String

val name: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numLayers: Int

val size: Long

final def synchronized[T0](arg0: ⇒ T0): T0

def updateURI(newURI: URI): ModelSchema.this.type

val uri: URI

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Schema

Inherited from AnyRef

Inherited from Any

Ungrouped