API for stschn/deepANN
Neural Network Toolbox

Global functions
%<-%	Man page
%>%	Man page
.checkcolumns	Source code
.decision_tree	Source code
.divide	Source code
.getBasicClasses	Source code
.nodematrix	Source code
Encoder	Man page
LabelBinarizer	Man page
LabelEncoder	Man page
MinMaxScaler	Man page
MultiLabelBinarizer	Man page
OneHotEncoder	Man page
OverSampler	Man page
RandomOverSampler	Man page
RandomUnderSampler	Man page
SMOTE	Man page
Sampler	Man page
Scaler	Man page
StandardScaler	Man page
UnderSampler	Man page
accuracy	Man page Source code
alexnet	Man page Source code
append_rows	Man page Source code
as_ANN_matrix	Man page Source code
as_CNN_image_X	Man page Source code
as_CNN_image_Y	Man page Source code
as_CNN_temp_X	Man page Source code
as_CNN_temp_Y	Man page Source code
as_LSTM_X	Man page Source code
as_LSTM_Y	Man page Source code
as_LSTM_data_frame	Man page Source code
as_LSTM_period_outcome	Man page Source code
as_MLP_X	Man page Source code
as_MLP_Y	Man page Source code
as_images_array	Man page Source code
as_images_tensor	Man page Source code
as_lag	Man page Source code
as_tensor_1d	Man page Source code
as_tensor_2d	Man page Source code
as_tensor_3d	Man page Source code
as_timesteps	Man page Source code
assert_string	Source code
build_LSTM	Man page Source code
build_MLP	Man page Source code
categorical_crossentropy	Man page Source code
coerce_dimension	Man page Source code
concatenate.factor	Man page Source code
cross_entropy	Man page Source code
cross_validation_split	Man page Source code
data_split	Man page Source code
data_split.array	Man page Source code
data_split.data.frame	Man page Source code
data_split.default	Man page Source code
data_split.factor	Man page Source code
day.abb	Man page
day.name	Man page
decision_tree	Man page Source code
decision_tree.default	Man page Source code
decision_tree.formula	Man page Source code
degree	Man page Source code
dice	Man page Source code
diff_log	Man page Source code
diff_percentage	Man page Source code
diffinv_log	Man page Source code
diffinv_percentage	Man page Source code
diffinv_simple	Man page Source code
distance	Man page Source code
dummify	Man page Source code
dummify_multilabel	Man page Source code
effectcoding	Man page Source code
entropy	Man page Source code
epsilon	Man page
erf	Man page Source code
erfc	Man page Source code
erfcinv	Man page Source code
erfinv	Man page Source code
fit_LSTM	Man page Source code
fit_MLP	Man page Source code
get_LSTM_XY	Man page Source code
get_period_shift	Man page Source code
get_season	Man page Source code
gini_impurity	Man page Source code
huber_loss	Man page Source code
images_load	Man page Source code
images_resize	Man page Source code
inception_resnet_v2	Man page Source code
inception_v3	Man page Source code
inverse_minmax	Man page Source code
inverse_zscore	Man page Source code
invert_differencing	Man page Source code
iou	Man page Source code
is.Encoder	Man page Source code
is.Scaler	Man page Source code
is.decisiontree	Man page Source code
is.naivebayes	Man page Source code
k_nearest_neighbors	Man page Source code
k_nearest_neighbors.default	Man page Source code
k_nearest_neighbors.formula	Man page Source code
lags	Man page Source code
lenet5	Man page Source code
list_as_numeric	Man page Source code
load_weights_ANN	Man page Source code
log_cosh_loss	Man page Source code
mae	Man page Source code
mape	Man page Source code
minmax	Man page Source code
mobilenet	Man page Source code
mobilenet_v2	Man page
mobilenet_v3	Man page
moving_average	Man page Source code
mse	Man page Source code
msle	Man page Source code
naive_bayes	Man page Source code
naive_bayes.default	Man page Source code
naive_bayes.formula	Man page Source code
naive_forecast	Man page Source code
nasnet	Man page
nsamples	Man page Source code
nsubsequences	Man page Source code
ntimesteps	Man page Source code
nunits	Man page Source code
one_hot_decode	Man page Source code
one_hot_encode	Man page Source code
outlier	Man page Source code
outlier_dataset	Man page Source code
oversampling	Man page Source code
partition	Man page Source code
period	Man page Source code
predict.decisiontree	Man page Source code
predict.kmeans	Man page Source code
predict.naivebayes	Man page Source code
predict_ANN	Man page Source code
probability	Man page Source code
probability.character	Man page Source code
probability.factor	Man page Source code
probability.logical	Man page Source code
probability.numeric	Man page Source code
quantile_loss	Man page Source code
radian	Man page Source code
random_oversampling	Man page Source code
random_seed	Man page Source code
random_undersampling	Man page Source code
re.factor	Man page Source code
remove_columns	Man page Source code
resample_imbalanced	Man page Source code
resnet	Man page
resnet50	Man page Source code
resnet50_v2	Man page Source code
rmse	Man page Source code
rmsle	Man page Source code
rmspe	Man page Source code
save_weights_ANN	Man page Source code
scale_center	Man page Source code
scale_dataset	Man page Source code
scale_log	Man page Source code
scale_minmax	Man page Source code
scale_train_test	Man page Source code
scale_zscore	Man page Source code
scaling	Man page Source code
sd_pop	Man page Source code
similarity	Man page Source code
smote	Man page Source code
sparse_encode	Man page Source code
sse	Man page Source code
start_invert_differencing	Man page Source code
stationary	Man page Source code
stderror	Man page Source code
train_test_split	Man page Source code
treedepth	Man page Source code
treeheight	Man page Source code
undersampling	Man page Source code
unet	Man page
unet3d	Man page
var_pop	Man page Source code
vc	Man page Source code
vector_as_ANN_matrix	Man page Source code
vector_as_numeric	Man page Source code
vgg	Man page
vgg16	Man page Source code
vgg19	Man page Source code
wape	Man page Source code
winsorize	Man page Source code
wmape	Man page Source code
xception	Man page
zfnet	Man page Source code
zscore	Man page Source code