Updated some machines for modular network

UD_any/parser/machine.rm

@@ -2,34 +2,17 @@ Name : Parser Machine
 Classifier : parser
 {
   Transitions : {parser,data/parser.ts}
-  Network type :            LSTM
-  Unknown value threshold : 1
-  Buffer context :          {-3 -2 -1 0 1 2}
-  Stack context :           {2 1 0}
-  Columns :                 {FORM UPOS}
-  Focused buffer :          {-1 0}
-  Focused stack :           {2 1 0}
-  Focused columns :         {ID EOS FORM FEATS DEPREL}
-  Max nb elements :         {1 1 10 10 1}
-  Raw input left window :   -1
-  Raw input right window :  -1
-  Embeddings size :         128
+	Network type : Modular
+	Context : Unk{1} Buffer{-3 -2 -1 0 1 2} Stack{2 1 0} Columns{FORM UPOS} GRU{1 1 0.0 1} In{128} Out{512}
+	Focused : Column{ID} NbElem{1} Buffer{0} Stack{0} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{EOS} NbElem{1} Buffer{-1 0} Stack{} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FORM} NbElem{10} Buffer{-1 0} Stack{2 1 0} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FEATS} NbElem{10} Buffer{-1 0} Stack{2 1 0} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{DEPREL} NbElem{1} Buffer{} Stack{2 1 0} GRU{1 1 0.0 1} In{128} Out{256}
+	DepthLayerTree : Columns{DEPREL} Buffer{-1} Stack{2 1 0} LayerSizes{6} GRU{1 1 0.0 1} In{128} Out{128}
+	InputDropout : 0.3
 	MLP : {2048 0.3}
-  Context LSTM size :       512
-  Focused LSTM size :       256
-  Rawinput LSTM size :      32
-  Split trans LSTM size :   256
-  Num layers :              3
-  BiLSTM :                  true
-  LSTM dropout :            0.1
-  Total input dropout :     0.3
-  Embeddings dropout :      0.3
-  Dropout 2d :              false
-  Tree embedding columns :  {DEPREL}
-  Tree embedding buffer :   {-1}
-  Tree embedding stack :    {0 1 2}
-  Tree embedding nb :       {6}
-  Tree embedding size :     128
+	End
 	Optimizer : Adam {0.0005 0.9 0.999 0.00000001 0.00001 true}
 }
 Predictions : HEAD DEPREL EOS

UD_any/tagger/machine.rm

@@ -2,34 +2,13 @@ Name : Tagger Machine
 Classifier : tagger
 {
 	Transitions : {tagger,data/tagger.ts}
-  Network type :            LSTM
-  Unknown value threshold : 1
-  Buffer context :          {-3 -2 -1 0 1 2}
-  Stack context :           {}
-  Columns :                 {FORM UPOS}
-  Focused buffer :          {-1 0}
-  Focused stack :           {}
-  Focused columns :         {ID FORM}
-  Max nb elements :         {1 10}
-  Raw input left window :   -1
-  Raw input right window :  -1
-  Embeddings size :         128
+	Network type : Modular
+	Context : Unk{1} Buffer{-3 -2 -1 0 1 2} Stack{} Columns{FORM UPOS} GRU{1 1 0.0 1} In{128} Out{512}
+	Focused : Column{ID} NbElem{1} Buffer{-1 0} Stack{} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FORM} NbElem{10} Buffer{-1 0} Stack{} GRU{1 1 0.0 1} In{128} Out{256}
+  InputDropout : 0.3
   MLP : {2048 0.3}
-  Context LSTM size :       512
-  Focused LSTM size :       256
-  Rawinput LSTM size :      32
-  Split trans LSTM size :   256
-  Num layers :              3
-  BiLSTM :                  true
-  LSTM dropout :            0.1
-  Total input dropout :     0.3
-  Embeddings dropout :      0.3
-  Dropout 2d :              false
-  Tree embedding columns :  {}
-  Tree embedding buffer :   {}
-  Tree embedding stack :    {}
-  Tree embedding nb :       {}
-  Tree embedding size :     0
+	End
   Optimizer : Adam {0.0005 0.9 0.999 0.00000001 0.00001 true}
 }
 Predictions : UPOS

UD_any/tagmorpho/machine.rm

+Name : Feats Machine
+Classifier : morpho
+{
+	Transitions : {tagger,data/tagger.ts morpho,data/morpho_parts.ts}
+	Network type : Modular
+	Context : Unk{1} Buffer{-3 -2 -1 0 1 2} Stack{} Columns{FORM UPOS} LSTM{1 1 0.0 1} In{128} Out{512}
+	Focused : Column{ID} NbElem{1} Buffer{-1 0} Stack{} LSTM{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FORM} NbElem{10} Buffer{-1 0} Stack{} LSTM{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FEATS} NbElem{10} Buffer{-1 0} Stack{} LSTM{1 1 0.0 1} In{128} Out{256}
+	InputDropout : 0.3
+	MLP : {2048 0.3}
+	End
+	Optimizer : Adam {0.0005 0.9 0.999 0.00000001 0.00001 true}
+}
+Predictions : UPOS FEATS
+Strategy : sequential
+  tagger morpho 1
+  morpho morpho NOTHING 1
+  morpho morpho 0

UD_any/tokenizer/machine.rm

@@ -2,34 +2,15 @@ Name : Tokenizer Machine
 Classifier : tokenizer
 {
 	Transitions : {tokenizer,data/tokenizer.ts}
-  Network type :            LSTM
-  Unknown value threshold : 1
-  Buffer context :          {-3 -2 -1}
-  Stack context :           {}
-  Columns :                 {FORM}
-  Focused buffer :          {-1 0}
-  Focused stack :           {}
-  Focused columns :         {ID FORM}
-  Max nb elements :         {1 10}
-  Raw input left window :   5
-  Raw input right window :  5
-  Embeddings size :         128
+	Network type : Modular
+	Context : Unk{1} Buffer{-3 -2 -1} Stack{} Columns{FORM} GRU{1 1 0.0 1} In{128} Out{512}
+	Focused : Column{ID} NbElem{1} Buffer{-1 0} Stack{} GRU{1 1 0.0 1} In{128} Out{256}
+	Focused : Column{FORM} NbElem{10} Buffer{-1 0} Stack{} GRU{1 1 0.0 1} In{128} Out{256}
+	RawInput : Left{5} Right{5} GRU{1 1 0.0 1} In{32} Out{32}
+	SplitTrans : GRU{1 1 0.0 1} In{128} Out{128}
+	InputDropout : 0.3
 	MLP : {2048 0.3}
-  Context LSTM size :       512
-  Focused LSTM size :       256
-  Rawinput LSTM size :      32
-  Split trans LSTM size :   256
-  Num layers :              3
-  BiLSTM :                  true
-  LSTM dropout :            0.1
-  Total input dropout :     0.3
-  Embeddings dropout :      0.3
-  Dropout 2d :              false
-  Tree embedding columns :  {}
-  Tree embedding buffer :   {}
-  Tree embedding stack :    {}
-  Tree embedding nb :       {}
-  Tree embedding size :     0
+	End
 	Optimizer : Adam {0.0005 0.9 0.999 0.00000001 0.00001 true}
 }
 Splitwords : data/splitwords.ts