pykitml
latest
Package Reference:
Linear Regression
Logistic Regression
Support Vector Machine
Feed-Forward Neural Network
Long short-term memory (LSTM) Network
Optimizers
Nearest Neighbor
Decision Tree
Random Forest
Naive Bayes
Gaussian Naive Bayes
K-Means Clustering
Principal Component Analysis
Random Search for Hyperparameters
Normalization/Feature-scaling
Preprocessing Datasets
SMOTE
Cross Validation
Datasets
Saving and Loading Objects/Models
Creating NES bots using FCEUX emulator
Deep Q Learning
pykitml
Docs
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
_
__init__() (pykitml.Adagrad method)
(pykitml.Adam method)
(pykitml.DQNAgent method)
(pykitml.DecisionTree method)
(pykitml.FCEUXServer method)
(pykitml.GaussianNaiveBayes method)
(pykitml.GradientDescent method)
(pykitml.LSTM method)
(pykitml.LinearRegression method)
(pykitml.LogisticRegression method)
(pykitml.Momentum method)
(pykitml.NaiveBayes method)
(pykitml.NearestNeighbor method)
(pykitml.Nesterov method)
(pykitml.NeuralNetwork method)
(pykitml.PCA method)
(pykitml.RMSprop method)
(pykitml.RandomForest method)
(pykitml.SVM method)
A
accuracy() (pykitml.DecisionTree method)
(pykitml.GaussianNaiveBayes method)
(pykitml.LSTM method)
(pykitml.LogisticRegression 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.LSTM method)
(pykitml.LogisticRegression method)
(pykitml.NaiveBayes method)
(pykitml.NearestNeighbor method)
(pykitml.NeuralNetwork method)
(pykitml.RandomForest method)
(pykitml.SVM method)
cost() (pykitml.LinearRegression method)
(pykitml.LSTM method)
(pykitml.LogisticRegression 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.LSTM method)
(pykitml.LinearRegression method)
(pykitml.LogisticRegression 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.LSTM method)
(pykitml.LinearRegression method)
(pykitml.LogisticRegression 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.LSTM method)
(pykitml.LogisticRegression 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
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.LSTM method)
(pykitml.LinearRegression method)
(pykitml.LogisticRegression 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.LSTM method)
(pykitml.LinearRegression 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.LSTM method)
(pykitml.LinearRegression method)
(pykitml.LogisticRegression method)
(pykitml.NaiveBayes method)
(pykitml.NearestNeighbor method)
(pykitml.NeuralNetwork method)
(pykitml.RandomForest method)
(pykitml.SVM method)
transform() (pykitml.PCA method)
trees (pykitml.RandomForest attribute)
Read the Docs
v: latest
Versions
latest
stable
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.