Index

C

calculate_accuracy() (in module mlektic.logistic_reg.logreg_utils) calculate_categorical_crossentropy() (in module mlektic.logistic_reg.logreg_utils) calculate_confusion_matrix() (in module mlektic.logistic_reg.logreg_utils) calculate_f1_score() (in module mlektic.logistic_reg.logreg_utils) calculate_mae() (in module mlektic.linear_reg.linreg_utils) calculate_mape() (in module mlektic.linear_reg.linreg_utils) calculate_mse() (in module mlektic.linear_reg.linreg_utils)

calculate_pearson_correlation() (in module mlektic.linear_reg.linreg_utils) calculate_precision() (in module mlektic.logistic_reg.logreg_utils) calculate_r2() (in module mlektic.linear_reg.linreg_utils) calculate_recall() (in module mlektic.logistic_reg.logreg_utils) calculate_rmse() (in module mlektic.linear_reg.linreg_utils) cost_history (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

E

elastic_net() (mlektic.methods.base.regularizers.Regularizers static method)

eval() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

G

get_cost_history() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1] get_intercept() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

get_metric_history() (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1] get_parameters() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

I

iterations (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

L

l1() (mlektic.methods.base.regularizers.Regularizers static method) l2() (mlektic.methods.base.regularizers.Regularizers static method) LinearRegressionArcht (class in mlektic.linear_reg.linear_regression_archt)

load_model() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1] LogisticRegressionArcht (class in mlektic.logistic_reg.logistic_regression_archt)

M

method (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute) metric (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute) metric_history (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute) mlektic module mlektic.linear_reg module mlektic.linear_reg.linear_regression_archt module mlektic.linear_reg.linreg_utils module mlektic.logistic_reg module mlektic.logistic_reg.logistic_regression_archt module mlektic.logistic_reg.logreg_utils module mlektic.methods module mlektic.methods.base module mlektic.methods.base.regularizers module mlektic.methods.optimizer_archt module

mlektic.methods.regularizer_archt module mlektic.plot_utils module mlektic.plot_utils.plot_utils module mlektic.preprocessing module mlektic.preprocessing.dataframes_utils module module mlektic mlektic.linear_reg mlektic.linear_reg.linear_regression_archt mlektic.linear_reg.linreg_utils mlektic.logistic_reg mlektic.logistic_reg.logistic_regression_archt mlektic.logistic_reg.logreg_utils mlektic.methods mlektic.methods.base mlektic.methods.base.regularizers mlektic.methods.optimizer_archt mlektic.methods.regularizer_archt mlektic.plot_utils mlektic.plot_utils.plot_utils mlektic.preprocessing mlektic.preprocessing.dataframes_utils

N

n_features (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

num_classes (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

O

optimizer (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

optimizer_archt() (in module mlektic.methods.optimizer_archt)

P

pd_dataset() (in module mlektic.preprocessing.dataframes_utils) pl_dataset() (in module mlektic.preprocessing.dataframes_utils) plot_cost() (in module mlektic.plot_utils.plot_utils)

plot_dynamic_cost() (in module mlektic.plot_utils.plot_utils) predict() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

R

regularizer (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

regularizer_archt() (in module mlektic.methods.regularizer_archt) Regularizers (class in mlektic.methods.base.regularizers)

S

save_model() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

T

train() (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht method), [1] (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht method), [1]

U

use_intercept (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

V

verbose (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)

W

weights (mlektic.linear_reg.linear_regression_archt.LinearRegressionArcht attribute) (mlektic.logistic_reg.logistic_regression_archt.LogisticRegressionArcht attribute)