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TensorflowNer
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package tensorflow
class
TensorflowNer
extends
Logging
Linear Supertypes
Logging
,
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TensorflowNer
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Instance Constructors
new
TensorflowNer
(
tensorflow:
TensorflowWrapper
,
encoder:
NerDatasetEncoder
,
batchSize:
Int
,
verboseLevel:
nlp.annotators.ner.Verbose.Value
)
Value Members
final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
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final
def
##
()
:
Int
Definition Classes
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final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
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final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
val
batchSize
:
Int
def
calcStat
(
correct:
Int
,
predicted:
Int
,
predictedCorrect:
Int
)
: (
Float
,
Float
,
Float
)
def
clone
()
:
AnyRef
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
...
)
val
encoder
:
NerDatasetEncoder
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
AnyRef
Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
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def
getLogName
:
String
Definition Classes
TensorflowNer
→
Logging
def
hashCode
()
:
Int
Definition Classes
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final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
def
log
(
value: ⇒
String
,
minLevel:
Level
)
:
Unit
Attributes
protected
Definition Classes
Logging
val
logger
:
Logger
Attributes
protected
Definition Classes
Logging
def
measure
(
labeled:
Array
[(
TextSentenceLabels
,
TokenizedSentence
)]
,
log: (
String
) ⇒
Unit
,
extended:
Boolean
=
false
,
nErrorsToPrint:
Int
=
0
)
:
Unit
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
AnyRef
final
def
notify
()
:
Unit
Definition Classes
AnyRef
final
def
notifyAll
()
:
Unit
Definition Classes
AnyRef
def
predict
(
dataset:
Array
[
TokenizedSentence
]
)
:
Array
[
Array
[
String
]]
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
AnyRef
val
tensorflow
:
TensorflowWrapper
def
toString
()
:
String
Definition Classes
AnyRef → Any
def
train
(
trainDataset:
Array
[(
TextSentenceLabels
,
TokenizedSentence
)]
,
lr:
Float
,
po:
Float
,
batchSize:
Int
,
dropout:
Float
,
startEpoch:
Int
,
endEpoch:
Int
,
validation:
Array
[(
TextSentenceLabels
,
TokenizedSentence
)] =
Array.empty
,
test:
Array
[(
TextSentenceLabels
,
TokenizedSentence
)] =
Array.empty
)
:
Unit
val
verboseLevel
:
nlp.annotators.ner.Verbose.Value
Definition Classes
TensorflowNer
→
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
(
...
)
Inherited from
Logging
Inherited from
AnyRef
Inherited from
Any
Ungrouped