OpenANN
1.1.0
An open source library for artificial neural networks.
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- _ -
__cinit__() :
metalearning
,
optimization
,
util
__configure_stopping_criteria__() :
optimization
__dealloc__() :
metalearning
,
preprocessing
,
optimization
,
util
__init__() :
preprocessing
__str__() :
optimization
- a -
accuracy() :
OpenANN
,
evaluation
activationFunction() :
OpenANN
activationFunctionDerivative() :
OpenANN
add_learner() :
metalearning
- c -
ce() :
OpenANN
classification_hits() :
evaluation
classificationHits() :
OpenANN
compilation_time() :
util
compiler_flags() :
util
confusion_matrix() :
evaluation
confusionMatrix() :
OpenANN
convert_test_targets() :
benchmark
cross_validation() :
evaluation
crossEntropy() :
OpenANN
crossValidation() :
OpenANN
- d -
debug() :
util
description() :
util
download_cifar10() :
benchmark
download_mnist() :
benchmark
download_octopusarm() :
benchmark
download_p300speller() :
benchmark
download_sarcos() :
benchmark
downsample() :
OpenANN
- e -
equals() :
OpenANN
error() :
util
evaluate_cifar10() :
benchmark
evaluate_mnist() :
benchmark
evaluate_octopusarm() :
benchmark
explained_variance_ratio() :
preprocessing
- f -
filter() :
OpenANN
fit() :
preprocessing
fit_partial() :
preprocessing
- g -
get_centers() :
preprocessing
get_mean() :
preprocessing
get_std() :
preprocessing
get_weights() :
metalearning
- i -
info() :
util
isInf() :
OpenANN
isNaN() :
OpenANN
- l -
linear() :
OpenANN
linearDerivative() :
OpenANN
load() :
OpenANN::FANN
,
OpenANN::LibSVM
,
OpenANN::FANN
load_from_libsvm() :
dataset
logistic() :
OpenANN
logisticDerivative() :
OpenANN
- m -
makeMLNN() :
OpenANN
meanSquaredError() :
OpenANN
merge() :
OpenANN
mse() :
OpenANN
,
evaluation
- n -
normaltanh() :
OpenANN
normaltanhDerivative() :
OpenANN
- o -
oneOfCDecoding() :
OpenANN
operator<<() :
OpenANN
optimize() :
optimization
- p -
predict() :
metalearning
print_usage() :
benchmark
- r -
rectifier() :
OpenANN
rectifierDerivative() :
OpenANN
rmse() :
evaluation
,
OpenANN
run_cifar10() :
benchmark
run_iris() :
benchmark
run_mnist() :
benchmark
run_octopusarm() :
benchmark
run_p300speller() :
benchmark
run_pole_balancing() :
benchmark
run_sarcos() :
benchmark
run_two_spirals() :
benchmark
- s -
sample() :
OpenANN
sample_random_patches() :
preprocessing
sampleRandomPatches() :
OpenANN
save() :
OpenANN::FANN
,
OpenANN::LibSVM
scaleData() :
OpenANN
scaledtanh() :
OpenANN
scaledtanhDerivative() :
OpenANN
seed() :
util
set_debug() :
util
set_disabled() :
util
set_error() :
util
set_info() :
util
set_optimizer() :
metalearning
softmax() :
OpenANN
split() :
OpenANN
sse() :
evaluation
,
OpenANN
start_client() :
benchmark
start_run() :
benchmark
start_server() :
benchmark
- t -
train() :
OpenANN
,
metalearning
transform() :
preprocessing
- u -
url() :
util
useAllCores() :
OpenANN
- v -
version() :
util
- w -
weightedAccuracy() :
OpenANN
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