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Update/speed up to the lstm code #71

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Merged
merged 7 commits into from
Feb 3, 2015
Merged

Update/speed up to the lstm code #71

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9018392
pep8
nouiz Jan 14, 2015
906a30e
Small comment update
nouiz Jan 16, 2015
26914e4
Add a parameter to make the test set smaller
nouiz Jan 16, 2015
ec112fa
use floatX for lstm
nouiz Jan 21, 2015
6a32f03
sort dataset by length to speed up error computation
nouiz Jan 31, 2015
2f14fbf
Try to repair travis failure to install our dependency
nouiz Jan 31, 2015
6e38783
Keep random subset of the test set
nouiz Feb 3, 2015
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Add a parameter to make the test set smaller
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@nouiz
nouiz committed Jan 31, 2015
commit 26914e4080661abf4211e6d129fbe01206a51334
4 changes: 4 additions & 0 deletions code/lstm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -395,6 +395,7 @@ def train_lstm(
use_dropout=True, # if False slightly faster, but worst test error
# This frequently need a bigger model.
reload_model="", # Path to a saved model we want to start from.
test_size=-1, # If >0, we will trunc the test set to this number of example.
):

# Model options
Expand All @@ -406,6 +407,8 @@ def train_lstm(
print 'Loading data'
train, valid, test = load_data(n_words=n_words, valid_portion=0.05,
maxlen=maxlen)
if test_size > 0:
test = (test[0][:test_size], test[1][:test_size])
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@lamblin lamblin Feb 2, 2015

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Now that the data is sorted by length, it means the test set only consists in the shortest sequences, which is biased.

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@nouiz nouiz Feb 3, 2015

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Fixed.


ydim = numpy.max(train[1]) + 1

Expand Down Expand Up @@ -578,4 +581,5 @@ def train_lstm(
train_lstm(
#reload_model="lstm_model.npz",
max_epochs=100,
test_size=500,
)