Index

_

_compute_distance() (kNNClassifier method)

_forward() (NN method)

A

Adagrad (class in pyml.neural_network.optimizer.adagrad) Adam (class in pyml.neural_network.optimizer.adam) add_layer() (NN method)

apply_kernel() (Convolutional method) apply_padding() (Convolutional method) apply_striding() (Convolutional static method)

B

backward() (BinaryCrossentropy method) (CategoricalCrossentropy method) (Convolutional method) (Dense method) (Dropout method) (Flatten method) (Input method) (Linear method) (MeanAbsoluteError method) (MeanSquaredError method) (NN method) (ReLU method) (Reshape method) (Sigmoid method) (Softmax method) (Softmax_CategoricalCrossentropy method) (Tanh method)

BinaryClassAccuracy (class in pyml.utils.accuracy) BinaryCrossentropy (class in pyml.neural_network.loss.binary_cross_entropy) build() (NN method)

C

calculate() (BinaryClassAccuracy method) (BinaryCrossentropy method) (CategoricalCrossentropy method) (MeanAbsoluteError method) (MeanSquaredError method) (MultiClassAccuracy method) (RegressionAccuracy method) calculate_accumulated() (BinaryClassAccuracy method) (BinaryCrossentropy method) (CategoricalCrossentropy method) (MeanAbsoluteError method) (MeanSquaredError method) (MultiClassAccuracy method) (RegressionAccuracy method)

CategoricalCrossentropy (class in pyml.neural_network.loss.categorical_cross_entropy) check_hyperparameters() (NN method) compare() (BinaryClassAccuracy method) (MultiClassAccuracy method) (RegressionAccuracy method) Convolutional (class in pyml.neural_network.layer.transformation.convolutional)

D

Dense (class in pyml.neural_network.layer.transformation.dense)

Dropout (class in pyml.neural_network.layer.transformation.dropout)

E

euclidean_distance() (in module pyml.utils.metrics)

evaluate() (NN method)

F

fit() (kNNClassifier method) Flatten (class in pyml.neural_network.layer.transformation.reshape) forward() (BinaryCrossentropy method) (CategoricalCrossentropy method) (Convolutional method) (Dense method) (Dropout method) (Flatten method) (Input method) (Linear method) (MeanAbsoluteError method) (MeanSquaredError method) (NN method) (ReLU method) (Reshape method) (Sigmoid method) (Softmax method) (Tanh method)

G

get_model_parameters() (NN method)

get_parameters() (Convolutional method) (Dense method)

H

HyperparametersNotSpecified

I

InconsistentLayerSizes init() (BinaryClassAccuracy method) (MultiClassAccuracy method) (RegressionAccuracy method)

Input (class in pyml.neural_network.layer.transformation.input)

K

kNNClassifier (class in pyml.neighbors.knn)

L

Linear (class in pyml.neural_network.layer.activation.linear)

load() (NN static method) load_model_parameters() (NN method)

M

manhatten_distance() (in module pyml.utils.metrics) MeanAbsoluteError (class in pyml.neural_network.loss.mean_absolute_error) MeanSquaredError (class in pyml.neural_network.loss.mean_squarred_error) module pyml pyml.exceptions pyml.exceptions.excpetions pyml.neighbors pyml.neighbors.knn pyml.neural_network pyml.neural_network.layer pyml.neural_network.layer.activation pyml.neural_network.layer.activation.linear pyml.neural_network.layer.activation.relu pyml.neural_network.layer.activation.sigmoid pyml.neural_network.layer.activation.softmax pyml.neural_network.layer.activation.tanh pyml.neural_network.layer.transformation pyml.neural_network.layer.transformation.convolutional pyml.neural_network.layer.transformation.dense pyml.neural_network.layer.transformation.dropout pyml.neural_network.layer.transformation.input pyml.neural_network.layer.transformation.reshape pyml.neural_network.loss pyml.neural_network.loss.binary_cross_entropy pyml.neural_network.loss.categorical_cross_entropy pyml.neural_network.loss.mean_absolute_error pyml.neural_network.loss.mean_squarred_error pyml.neural_network.loss.softmax_loss_categorical_cross_entropy pyml.neural_network.nn pyml.neural_network.optimizer pyml.neural_network.optimizer.adagrad pyml.neural_network.optimizer.adam pyml.neural_network.optimizer.rmsprop pyml.neural_network.optimizer.sgd pyml.utils pyml.utils.accuracy pyml.utils.metrics

MultiClassAccuracy (class in pyml.utils.accuracy)

N

NN (class in pyml.neural_network.nn)

O

OutsideSpecifiedRange

P

post_update_parameters() (Adagrad method) (Adam method) (RMSProp method) (SGD method) pre_update_parameters() (Adagrad method) (Adam method) (RMSProp method) (SGD method) predict() (kNNClassifier method) (NN method) predictions() (Linear method) (ReLU method) (Sigmoid method) (Softmax method) (Tanh method) print_summary() (NN static method) pyml module pyml.exceptions module pyml.exceptions.excpetions module pyml.neighbors module pyml.neighbors.knn module pyml.neural_network module pyml.neural_network.layer module pyml.neural_network.layer.activation module pyml.neural_network.layer.activation.linear module pyml.neural_network.layer.activation.relu module pyml.neural_network.layer.activation.sigmoid module pyml.neural_network.layer.activation.softmax module pyml.neural_network.layer.activation.tanh module

pyml.neural_network.layer.transformation module pyml.neural_network.layer.transformation.convolutional module pyml.neural_network.layer.transformation.dense module pyml.neural_network.layer.transformation.dropout module pyml.neural_network.layer.transformation.input module pyml.neural_network.layer.transformation.reshape module pyml.neural_network.loss module pyml.neural_network.loss.binary_cross_entropy module pyml.neural_network.loss.categorical_cross_entropy module pyml.neural_network.loss.mean_absolute_error module pyml.neural_network.loss.mean_squarred_error module pyml.neural_network.loss.softmax_loss_categorical_cross_entropy module pyml.neural_network.nn module pyml.neural_network.optimizer module pyml.neural_network.optimizer.adagrad module pyml.neural_network.optimizer.adam module pyml.neural_network.optimizer.rmsprop module pyml.neural_network.optimizer.sgd module pyml.utils module pyml.utils.accuracy module pyml.utils.metrics module

R

RegressionAccuracy (class in pyml.utils.accuracy) regularization_loss() (BinaryCrossentropy method) (CategoricalCrossentropy method) (MeanAbsoluteError method) (MeanSquaredError method) ReLU (class in pyml.neural_network.layer.activation.relu) reset() (BinaryClassAccuracy method) (BinaryCrossentropy method) (CategoricalCrossentropy method) (MeanAbsoluteError method) (MeanSquaredError method) (MultiClassAccuracy method) (RegressionAccuracy method)

Reshape (class in pyml.neural_network.layer.transformation.reshape) RMSProp (class in pyml.neural_network.optimizer.rmsprop)

S

save_model() (NN method) save_model_parameters() (NN method) set_accuracy() (NN method) set_adjacent_layers() (Convolutional method) (Dense method) (Dropout method) (Flatten method) (Input method) (Linear method) (ReLU method) (Reshape method) (Sigmoid method) (Softmax method) (Tanh method)

set_loss() (NN method) set_model_parameters() (NN method) set_optimizer() (NN method) set_parameters() (Convolutional method) (Dense method) set_trainable_layers() (BinaryCrossentropy method) (CategoricalCrossentropy method) (MeanAbsoluteError method) (MeanSquaredError method) SGD (class in pyml.neural_network.optimizer.sgd) ShapeError Sigmoid (class in pyml.neural_network.layer.activation.sigmoid) Softmax (class in pyml.neural_network.layer.activation.softmax) Softmax_CategoricalCrossentropy (class in pyml.neural_network.loss.softmax_loss_categorical_cross_entropy)

T

Tanh (class in pyml.neural_network.layer.activation.tanh)

train() (NN method)

U

UnknownMetric update_parameters() (Adagrad method) (Adam method) (RMSProp method) (SGD method)