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TensorflowSpell
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package tensorflow
class
TensorflowSpell
extends
Logging
with
Serializable
Linear Supertypes
Serializable
,
Serializable
,
Logging
,
AnyRef
,
Any
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TensorflowSpell
Serializable
Serializable
Logging
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Any
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Instance Constructors
new
TensorflowSpell
(
tensorflow:
TensorflowWrapper
,
verboseLevel:
nlp.annotators.ner.Verbose.Value
)
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
val
checkPointStep
:
Int
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
val
contextIds
:
String
val
contextWordIds
:
String
val
dropoutRate
:
String
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
val
finalLearningRateKey
:
String
def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
AnyRef → Any
def
getLogName
:
String
Definition Classes
Logging
val
globalStepKey
:
String
def
hashCode
()
:
Int
Definition Classes
AnyRef → Any
val
initKey
:
String
val
initialLearningRateKey
:
String
val
inputLens
:
String
final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
val
learningRate
:
String
def
log
(
value: ⇒
String
,
minLevel:
Level
)
:
Unit
Attributes
protected
Definition Classes
Logging
val
logger
:
Logger
Attributes
protected
Definition Classes
Logging
val
lossKey
:
String
val
losses
:
String
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
outputLog
(
value: ⇒
String
,
uuid:
String
,
shouldLog:
Boolean
,
outputLogsPath:
String
)
:
Unit
Attributes
protected
Definition Classes
Logging
def
pplEachWord
(
dataset:
Array
[
Array
[
Int
]]
,
cids:
Array
[
Array
[
Int
]]
,
cwids:
Array
[
Array
[
Int
]]
,
configProtoBytes:
Option
[
Array
[
Byte
]] =
None
)
:
Array
[
Float
]
def
predict
(
dataset:
Array
[
Array
[
Int
]]
,
cids:
Array
[
Array
[
Int
]]
,
cwids:
Array
[
Array
[
Int
]]
,
configProtoBytes:
Option
[
Array
[
Byte
]] =
None
)
:
Iterator
[
Float
]
def
predict_
(
dataset:
Array
[
Array
[
Int
]]
,
cids:
Array
[
Array
[
Int
]]
,
cwids:
Array
[
Array
[
Int
]]
,
candCids:
Array
[
Int
]
,
candWids:
Array
[
Int
]
,
configProtoBytes:
Option
[
Array
[
Byte
]] =
None
)
:
List
[
Float
]
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
val
tensorflow
:
TensorflowWrapper
val
testCids
:
String
val
testWids
:
String
def
toString
()
:
String
Definition Classes
AnyRef → Any
def
train
(
train: ⇒
Iterator
[
Array
[
LangModelSentence
]]
,
valid: ⇒
Iterator
[
Array
[
LangModelSentence
]]
,
epochs:
Int
,
batchSize:
Int
,
initialRate:
Float
,
finalRate:
Float
)
:
Unit
val
updatesKey
:
String
val
verboseLevel
:
nlp.annotators.ner.Verbose.Value
Definition Classes
TensorflowSpell
→
Logging
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
(
...
)
val
wordIds
:
String
Inherited from
Serializable
Inherited from
Serializable
Inherited from
Logging
Inherited from
AnyRef
Inherited from
Any
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