aigamedev
/
scikit-neuralnetwork
100%
master: 100%
master: 100%
|
Repo Added
|
Files
53
|
Badge
Embed ▾
README BADGES
|
LAST BUILD ON BRANCH
regularize
branch: regularize
CHANGE BRANCH
x
-
regularize
-
0.1
-
ELU
-
RNN
-
adagrad
-
autoencoder
-
backend
-
batch-size
-
batchnorm
-
callback
-
color
-
conv
-
cost
-
deepy
-
digits
-
fix_83
-
init
-
lasagne
-
logging
-
loss
-
master
-
memmap
-
monkeypatch
-
multi-label
-
mutator
-
nan
-
native
-
outconv
-
outshp
-
pandas
-
params
-
perf
-
pn
-
power
-
pretrain
-
profile
-
serialization
-
sklearn
-
sparse
-
testing
-
theano
-
threads
-
training
-
v0.1
-
v0.2
-
v0.3
-
v0.4
-
v0.5
-
v0.6
-
v0.6.1
-
v0.7
-
voting
-
wrap
CHANGE BRANCH
x
-
regularize
- 0.1
- ELU
- RNN
- adagrad
- autoencoder
- backend
- batch-size
- batchnorm
- callback
- color
- conv
- cost
- deepy
- digits
- fix_83
- init
- lasagne
- logging
- loss
- master
- memmap
- monkeypatch
- multi-label
- mutator
- nan
- native
- outconv
- outshp
- pandas
- params
- perf
- pn
- power
- pretrain
- profile
- serialization
- sklearn
- sparse
- testing
- theano
- threads
- training
- v0.1
- v0.2
- v0.3
- v0.4
- v0.5
- v0.6
- v0.6.1
- v0.7
- voting
- wrap
push
travis-ci
1092 of 1092 relevant lines covered (100.0%)
2.0 hits per line
Relevant lines Covered
1092
RELEVANT LINES
1092
COVERED LINES
2.0
HITS PER LINE
Source Files on regularize
Recent builds
| Builds | Branch | Commit | Type | Ran | Committer | Via | Coverage |
|---|---|---|---|---|---|---|---|
| 285 | regularize | Tweaked the readme and added regularization to the plot_mlp.py example. | push |  alexjc |
travis-ci | pending completion | |
| 283 | regularize | Fixed regularisation with sumofcosts | push |  ssamot |
travis-ci | pending completion | |
| 279 | regularize | Fix for the tests for sklearn-compatible interface. No longer setting weight_decay and dropout_rate as defaults if they are not specified. | push | alexjc |
travis-ci | pending completion |