Types & classes — github.com/Algo-Phantoms/Algo-ScriptML

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Types & classes31 in github.com/Algo-Phantoms/Algo-ScriptML

⨍ Functions 183◇ Types & classes 31

↓ 3 callersClassBayesLinReg

Bayesian Regression/bayessian_regression.py:5

↓ 2 callersClassNode

Random Forest/randomForest.py:10

↓ 1 callersClassAdaBoost

Adaboost/adaboost_base_35.py:44

↓ 1 callersClassCluster

K-Means/kmeans.py:40

↓ 1 callersClassCustomKMeans

K-Means/kmeans.py:51

↓ 1 callersClassDecisionTree

Decision Tree/decision_tree_implementation.py:7

↓ 1 callersClassPerceptron

Perceptron/perceptron_training.py:10

↓ 1 callersClassdecisionTree

Random Forest/randomForest.py:23

↓ 1 callersClassrandomForest

Random Forest/randomForest.py:125

Apriori/apriori.py:25

ClassDecision_Node

Decision Tree/decision_tree_implementation.py:180

ClassElastic_Net_Regression

Elastic Net/Elastic_Net_Regression.py:21

ClassGaussianDistribution

Gaussian Mixture Model/GaussianMixtureModel.py:5

ClassGeneticAlgorithm

An implementation of a Genetic Algorithm which will try to produce the user specified target string. Parameters: ----------- target_st

Genetic Algorithm/genetic_algorithm.py:5

ClassHiddenMarkovModel

Hidden Markov Model/hmm.py:9

ClassLassoRegression

Lasso Regression/Lasso_Regression.py:3

Decision Tree/decision_tree_implementation.py:164

ClassLinearRegression

Multiple Linear Regression/multiple_linear_regression_implementation.py:9

ClassLinearRegression

Linear Regression/Linear_Regression.py:6

ClassLogisticRegression

Logistic Regression/Logistic_Regression_base.py:18

Lowess Regression/lowessregression.py:5

ClassMinMaxScaler

Preprocessing/min_max_scaler.py:4

ClassNaiveBayesClassifier

Naive Bayes/naive_bayes.py:6

ClassNeuralNetwork

Neural Network/neural_network.py:12

PCA: mathematical technique used for dimensionality reduction Attributes: array (list): A matrix of elements

Principal Component Analaysis/PCA.py:3

Decision Tree/decision_tree_implementation.py:191

ClassRidge_Regression

Ridge Regression/Ridge Regression- Base.py:13

Support Vector Machine/SVM_Linear_Kernal_&_documentation.py:9

ClassStandardScaler

Preprocessing/standard_scaler.py:4

ClassStochastic_gradient_descent

stochastic gradient descent/stochastic_gradient_descent_algo.py:3

DBSCAN/dbscan.py:5