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Add function create_default_optimizer to spacy._ml

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Matthew Honnibal 2017-11-06 14:11:59 +01:00
parent e7e0cbc722
commit 2eb11d60f2
1 changed files with 13 additions and 0 deletions
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spacy/_ml.py
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@ -39,6 +39,19 @@ def cosine(vec1, vec2):
return vec1.dot(vec2) / (norm1 * norm2) return vec1.dot(vec2) / (norm1 * norm2)
def create_default_optimizer(ops, **cfg):
learn_rate = util.env_opt('learn_rate', 0.001)
beta1 = util.env_opt('optimizer_B1', 0.9)
beta2 = util.env_opt('optimizer_B2', 0.999)
eps = util.env_opt('optimizer_eps', 1e-08)
L2 = util.env_opt('L2_penalty', 1e-6)
max_grad_norm = util.env_opt('grad_norm_clip', 1.)
optimizer = Adam(ops, learn_rate, L2=L2, beta1=beta1,
beta2=beta2, eps=eps)
optimizer.max_grad_norm = max_grad_norm
optimizer.device = device
return optimizer
@layerize @layerize
def _flatten_add_lengths(seqs, pad=0, drop=0.): def _flatten_add_lengths(seqs, pad=0, drop=0.):
ops = Model.ops ops = Model.ops