explosion/spaCy
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Learns things

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This commit is contained in:
Matthew Honnibal 2017-05-06 18:24:38 +02:00
parent 04ae1c01f1
commit 08bee76790
3 changed files with 8 additions and 7 deletions
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3
spacy/_ml.py
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@ -4,6 +4,7 @@ from thinc.neural._classes.hash_embed import HashEmbed
from thinc.neural._classes.convolution import ExtractWindow
from thinc.neural._classes.static_vectors import StaticVectors
from thinc.neural._classes.batchnorm import BatchNorm
from .attrs import ID, LOWER, PREFIX, SUFFIX, SHAPE, TAG, DEP
@ -160,7 +161,7 @@ def build_tok2vec(lang, width, depth=2, embed_size=1000):
>> with_flatten(
#(static | prefix | suffix | shape)
(lower | prefix | suffix | shape | tag)
>> Maxout(width, width*5)
>> BatchNorm(Maxout(width, width*5), nO=width)
#>> (ExtractWindow(nW=1) >> Maxout(width, width*3))
#>> (ExtractWindow(nW=1) >> Maxout(width, width*3))
)

2
spacy/syntax/parser.pyx
View File

@ -113,7 +113,7 @@ cdef class Parser:
def __reduce__(self):
return (Parser, (self.vocab, self.moves, self.model), None, None)
def build_model(self, width=32, nr_vector=1000, nF=1, nB=1, nS=1, nL=1, nR=1, **_):
def build_model(self, width=64, nr_vector=1000, nF=1, nB=1, nS=1, nL=1, nR=1, **_):
state2vec = build_debug_state2vec(width, nr_vector, nF, nB, nL, nR)
model = build_debug_model(state2vec, width, 2, self.moves.n_moves)
return model

10
spacy/syntax/stateclass.pyx
View File

@ -47,7 +47,7 @@ cdef class StateClass:
return ' '.join((third, second, top, '|', n0, n1))
def nr_context_tokens(self, int nF, int nB, int nS, int nL, int nR):
return 8
return 4
def set_context_tokens(self, int[:] output, nF=1, nB=0, nS=2,
nL=2, nR=2):
@ -55,10 +55,10 @@ cdef class StateClass:
output[1] = self.B(1)
output[2] = self.S(0)
output[3] = self.S(1)
output[4] = self.L(self.S(0), 1)
output[5] = self.L(self.S(0), 2)
output[6] = self.R(self.S(0), 1)
output[7] = self.R(self.S(0), 2)
#output[4] = self.L(self.S(0), 1)
#output[5] = self.L(self.S(0), 2)
#output[6] = self.R(self.S(0), 1)
#output[7] = self.R(self.S(0), 2)
#output[7] = self.L(self.S(1), 1)
#output[8] = self.L(self.S(1), 2)
#output[9] = self.R(self.S(1), 1)