Index

_

__init__() (pykitml.Adagrad method) (pykitml.Adam method) (pykitml.DecisionTree method) (pykitml.DQNAgent method) (pykitml.FCEUXServer method) (pykitml.GaussianNaiveBayes method) (pykitml.GradientDescent method) (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.Momentum method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.Nesterov method) (pykitml.NeuralNetwork method) (pykitml.PCA method) (pykitml.RandomForest method) (pykitml.RMSprop method) (pykitml.SVM method)

A

accuracy() (pykitml.DecisionTree method) (pykitml.GaussianNaiveBayes method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method)

Adagrad (class in pykitml) Adam (class in pykitml)

B

best (pykitml.RandomSearch attribute)

C

close() (pykitml.Environment method) confusion_matrix() (pykitml.DecisionTree method) (pykitml.GaussianNaiveBayes method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method)

cost() (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NeuralNetwork method) (pykitml.SVM method) cross_validate() (in module pykitml)

D

DecisionTree (class in pykitml) denormalize_mean() (in module pykitml)

denormalize_minmax() (in module pykitml) DQNAgent (class in pykitml)

E

Environment (class in pykitml)

exploit() (pykitml.DQNAgent method)

F

FCEUXServer (class in pykitml) feed() (pykitml.DecisionTree method) (pykitml.GaussianNaiveBayes method) (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method)

frame_advance() (pykitml.FCEUXServer method)

G

gaussian_kernel() (in module pykitml) GaussianNaiveBayes (class in pykitml) get() (in module pykitml.datasets.adult) (in module pykitml.datasets.banknote) (in module pykitml.datasets.boston) (in module pykitml.datasets.heartdisease) (in module pykitml.datasets.mnist) (in module pykitml.datasets.s1clustering) (in module pykitml.datasets.sonar) get_joypad() (pykitml.FCEUXServer method) get_meanstd() (in module pykitml) get_minmax() (in module pykitml) get_output() (pykitml.DecisionTree method) (pykitml.GaussianNaiveBayes method) (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method)

get_output_onehot() (pykitml.DecisionTree method) (pykitml.GaussianNaiveBayes method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method) GradientDescent (class in pykitml)

I

info (pykitml.FCEUXServer attribute)

inverse_transform() (pykitml.PCA method)

K

kmeans() (in module pykitml)

L

LinearRegression (class in pykitml) load() (in module pykitml) (in module pykitml.datasets.adult) (in module pykitml.datasets.banknote) (in module pykitml.datasets.boston) (in module pykitml.datasets.fishlength) (in module pykitml.datasets.heartdisease) (in module pykitml.datasets.iris) (in module pykitml.datasets.mnist) (in module pykitml.datasets.s1clustering) (in module pykitml.datasets.sonar)

LogisticRegression (class in pykitml) LSTM (class in pykitml)

M

module pykitml.datasets.adult pykitml.datasets.banknote pykitml.datasets.boston pykitml.datasets.fishlength pykitml.datasets.heartdisease pykitml.datasets.iris pykitml.datasets.mnist pykitml.datasets.s1clustering pykitml.datasets.sonar

Momentum (class in pykitml)

N

NaiveBayes (class in pykitml) NearestNeighbor (class in pykitml) Nesterov (class in pykitml) NeuralNetwork (class in pykitml)

nlayers (pykitml.LSTM attribute) (pykitml.NeuralNetwork attribute) normalize_mean() (in module pykitml) normalize_minmax() (in module pykitml)

O

onehot() (in module pykitml)

onehot_cols() (in module pykitml) onehot_cols_traintest() (in module pykitml)

P

PCA (class in pykitml) plot_performance() (pykitml.DQNAgent method) (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NeuralNetwork method) (pykitml.SVM method) polynomial() (in module pykitml) pykitml.datasets.adult module pykitml.datasets.banknote module pykitml.datasets.boston module

pykitml.datasets.fishlength module pykitml.datasets.heartdisease module pykitml.datasets.iris module pykitml.datasets.mnist module pykitml.datasets.s1clustering module pykitml.datasets.sonar module

Q

quit() (pykitml.FCEUXServer method)

R

r2score() (pykitml.DecisionTree method) (pykitml.LinearRegression method) (pykitml.LSTM method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) RandomForest (class in pykitml)

RandomSearch (class in pykitml) read_mem() (pykitml.FCEUXServer method) render() (pykitml.Environment method) reset() (pykitml.Environment method) (pykitml.FCEUXServer method) (pykitml.LSTM method) retention (pykitml.PCA attribute) RMSprop (class in pykitml)

S

save() (in module pykitml) search() (pykitml.RandomSearch method) set_cost() (pykitml.RandomSearch method) set_joypad() (pykitml.FCEUXServer method)

show_tree() (pykitml.DecisionTree method) smote() (in module pykitml) start() (pykitml.FCEUXServer method) step() (pykitml.Environment method) SVM (class in pykitml)

T

train() (pykitml.DecisionTree method) (pykitml.DQNAgent method) (pykitml.GaussianNaiveBayes method) (pykitml.LinearRegression method) (pykitml.LogisticRegression method) (pykitml.LSTM method) (pykitml.NaiveBayes method) (pykitml.NearestNeighbor method) (pykitml.NeuralNetwork method) (pykitml.RandomForest method) (pykitml.SVM method)

transform() (pykitml.PCA method) trees (pykitml.RandomForest attribute)