Index

C

class_covariance() (qda.QDA static method) classification module Classification (class in classification) classify_point() (knn_classify.KNNClassify method) clustering module

Clustering (class in clustering) coefficients (linearreg.Linear attribute) (logisticreg.Logistic attribute) (poissonreg.Poisson attribute) compute_distance_matrix() (kmean.KCluster static method) confusion_matrix() (in module evaluation_metrics) covariance_matrix (lda.LDA attribute) cross_validation_folds_idx() (in module preprocessing)

D

dimension (classification.Classification attribute) (clustering.Clustering attribute) (regression.Regression attribute)

discriminant() (lda.LDA method) (qda.QDA method)

E

estimate_point() (knn_classify.KNNClassify method) evaluate_accuracy() (in module evaluation_metrics)

evaluate_regression_error() (in module evaluation_metrics) evaluation_metrics module

F

feature_means (kmean.KCluster attribute) final_centers (kmean.KCluster attribute) final_clusters_idx (kmean.KCluster attribute)

fit() (kmean.KCluster method) (linearreg.Linear method) (logisticreg.Logistic method) (poissonreg.Poisson method)

K

k (kmean.KCluster attribute) (knn_classify.KNNClassify attribute) k_neighbors_idx() (knn_classify.KNNClassify method) KCluster (class in kmean) kmean module

knn_classify module KNNClassify (class in knn_classify) knnreg module KNNRegression (class in knnreg)

L

lda module LDA (class in lda) Linear (class in linearreg) linearreg module

Logistic (class in logisticreg) logisticreg module loglikelihood() (poissonreg.Poisson static method)

M

max_steps (logisticreg.Logistic attribute) mle_finder() (poissonreg.Poisson static method) module classification clustering evaluation_metrics kmean knn_classify knnreg lda linearreg logisticreg poissonreg preprocessing qda regression

N

newton_raphson_update() (logisticreg.Logistic static method)

number_iterations (kmean.KCluster attribute) number_labels (classification.Classification attribute)

P

Poisson (class in poissonreg) poissonreg module pooled_covariance() (lda.LDA static method) predict() (linearreg.Linear static method) (poissonreg.Poisson static method) predict_class() (knn_classify.KNNClassify method)

predict_many() (qda.QDA method) predict_one() (lda.LDA method) (qda.QDA method) predict_value() (knn_classify.KNNClassify method) preprocessing module prior() (qda.QDA static method) probability_estimate() (logisticreg.Logistic static method)

Q

qda module

QDA (class in qda)

R

regression module

Regression (class in regression)

S

sample_size (classification.Classification attribute) (clustering.Clustering attribute) (regression.Regression attribute)

scale_and_center() (in module preprocessing) standardize() (classification.Classification method) (clustering.Clustering method) (regression.Regression method)

T

test_accuracy (knn_classify.KNNClassify attribute) (lda.LDA attribute) (logisticreg.Logistic attribute) (qda.QDA attribute) test_confusion (knn_classify.KNNClassify attribute) (lda.LDA attribute) (logisticreg.Logistic attribute) (qda.QDA attribute) test_error (knn_classify.KNNClassify attribute) test_features (classification.Classification attribute) (regression.Regression attribute) test_output (classification.Classification attribute) (regression.Regression attribute) test_predictions (knn_classify.KNNClassify attribute) (lda.LDA attribute) (linearreg.Linear attribute) (logisticreg.Logistic attribute) (poissonreg.Poisson attribute) (qda.QDA attribute) test_predictions_reg (knn_classify.KNNClassify attribute) test_probs (logisticreg.Logistic attribute) test_rows (classification.Classification attribute) (regression.Regression attribute) test_size (classification.Classification attribute) (regression.Regression attribute)

threshold (kmean.KCluster attribute) (logisticreg.Logistic attribute) tolerance (logisticreg.Logistic attribute) train_accuracy (lda.LDA attribute) (logisticreg.Logistic attribute) (qda.QDA attribute) train_confusion (lda.LDA attribute) (logisticreg.Logistic attribute) (qda.QDA attribute) train_error (linearreg.Linear attribute), [1] (poissonreg.Poisson attribute), [1] train_features (classification.Classification attribute) (regression.Regression attribute) train_output (classification.Classification attribute) (regression.Regression attribute) train_prediction (lda.LDA attribute) (qda.QDA attribute) train_predictions (linearreg.Linear attribute) (logisticreg.Logistic attribute) (poissonreg.Poisson attribute) train_probs (logisticreg.Logistic attribute) train_rows (classification.Classification attribute) (regression.Regression attribute) train_size (classification.Classification attribute) (regression.Regression attribute) train_test_split() (in module preprocessing)

U

update_clusters() (kmean.KCluster static method)

update_means() (kmean.KCluster static method)

W

weighted_matrix() (logisticreg.Logistic static method)