org
.
platanios
.
tensorflow
.
api
learn
package
learn
Linear Supertypes
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case class
BuiltSessionScaffold
extends
Product
with
Serializable
case class
ChiefSessionCreator
(
master:
String
=
""
,
sessionScaffold:
SessionScaffold
=
SessionScaffold()
,
sessionConfig:
Option
[
SessionConfig
] =
None
,
checkpointPath:
Option
[
Path
] =
None
)
extends
SessionCreator
with
Product
with
Serializable
trait
ClipGradients
extends
AnyRef
case class
ClipGradientsByAverageNorm
(
clipNorm:
Float
)
extends
ClipGradients
with
Product
with
Serializable
case class
ClipGradientsByGlobalNorm
(
clipNorm:
Float
)
extends
ClipGradients
with
Product
with
Serializable
case class
ClipGradientsByNorm
(
clipNorm:
Float
)
extends
ClipGradients
with
Product
with
Serializable
case class
ClipGradientsByValue
(
clipValueMin:
Float
,
clipValueMax:
Float
)
extends
ClipGradients
with
Product
with
Serializable
case class
Configuration
(
workingDir:
Option
[
Path
] =
None
,
sessionConfig:
Option
[
SessionConfig
] =
None
,
checkpointConfig:
CheckpointConfig
=
TimeBasedCheckpoints(600, 5, 10000)
,
randomSeed:
Option
[
Int
] =
None
)
extends
Product
with
Serializable
trait
InferenceModel
[
IT
,
IO
,
ID
,
IS
,
I
]
extends
Model
sealed
trait
Mode
extends
AnyRef
trait
Model
extends
AnyRef
case class
ModelInstance
[
IT
,
IO
,
ID
,
IS
,
I
,
TT
,
TO
,
TD
,
TS
,
EI
]
(
model:
TrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
,
TT
,
TO
,
TD
,
TS
,
EI
]
,
configuration:
Configuration
,
trainInputIterator:
Option
[
Iterator
[
TT
,
TO
,
TD
,
TS
]] =
None
,
trainInput:
Option
[
TO
] =
None
,
output:
Option
[
I
] =
None
,
loss:
Option
[
ops.Output
] =
None
,
gradientsAndVariables:
Option
[
Seq
[(
ops.OutputLike
,
ops.variables.Variable
)]] =
None
,
trainOp:
Option
[
ops.Op
] =
None
)
extends
Product
with
Serializable
class
MonitoredSession
extends
SessionWrapper
case class
RecoverableSession
extends
SessionWrapper
with
Product
with
Serializable
trait
SessionCreator
extends
AnyRef
case class
SessionScaffold
(
readyOp:
Option
[
ops.Output
] =
None
,
readyForLocalInitOp:
Option
[
ops.Output
] =
None
,
initOp:
Option
[
ops.Op
] =
None
,
initFeedMap:
FeedMap
=
FeedMap.empty
,
initFunction:
Option
[(
core.client.Session
,
BuiltSessionScaffold
) ⇒
Unit
] =
None
,
localInitOp:
Option
[
ops.Op
] =
None
,
localInitFunction:
Option
[(
core.client.Session
,
BuiltSessionScaffold
) ⇒
Unit
] =
None
,
summaryOp:
Option
[
ops.Output
] =
None
,
saver:
Option
[
Saver
] =
None
)
extends
Product
with
Serializable
class
SessionWrapper
extends
core.client.Session
class
StopCriteria
extends
AnyRef
trait
SupervisedTrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
,
TT
,
TO
,
TD
,
TS
,
T
]
extends
TrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
, (
IT
,
TT
), (
IO
,
TO
), (
ID
,
TD
), (
IS
,
TS
), (
I
,
T
)]
trait
TrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
,
TT
,
TO
,
TD
,
TS
,
EI
]
extends
InferenceModel
[
IT
,
IO
,
ID
,
IS
,
I
]
trait
UnsupervisedTrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
]
extends
TrainableModel
[
IT
,
IO
,
ID
,
IS
,
I
,
IT
,
IO
,
ID
,
IS
,
I
]
case class
WorkerSessionCreator
(
master:
String
=
""
,
sessionScaffold:
SessionScaffold
=
SessionScaffold()
,
sessionConfig:
Option
[
SessionConfig
] =
None
)
extends
SessionCreator
with
Product
with
Serializable
Value Members
object
Configuration
extends
Serializable
object
Counter
object
EVALUATION
extends
Mode
with
Product
with
Serializable
object
INFERENCE
extends
Mode
with
Product
with
Serializable
object
Model
object
MonitoredSession
object
NoClipGradients
extends
ClipGradients
with
Product
with
Serializable
object
RecoverableSession
extends
Serializable
object
StopCriteria
object
TRAINING
extends
Mode
with
Product
with
Serializable
package
estimators
package
hooks
package
layers
package
models
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