sam-ml-py

💡 General Information

  • swig installation
  • Scoring
  • Global Variables
  • Package Graph

🤖 Models

  • Classifier
    • AdaBoostClassifier (ABC)
    • BaggingClassifier (BC)
    • BernoulliNB (BNB)
    • DecisionTreeClassifier (DTC)
    • ExtraTreesClassifier (ETC)
    • GaussianNB (GNB)
    • GaussianProcessClassifier (GPC)
    • GradientBoostingMachine (GBM)
    • KNeighborsClassifier (KNC)
    • LinearDiscriminantAnalysis (LDA)
    • LinearSupportVectorClassifier (LSVC)
    • LogisticRegression (LR)
    • MLP Classifier (MLPC)
    • QuadraticDiscriminantAnalysis (QDA)
    • RandomForestClassifier (RFC)
    • SupportVectorClassifier (SVC)
    • XGBClassifier (XGBC)
  • Regressor
  • Auto-ML
  • Pipeline Factory

📊 Data

  • Preprocessing
  • Regio

🧩 Abstract classes

  • Model class
  • Regressor class
  • Classifier class
  • BasePipeline class
  • Data class
  • AutoML class
sam-ml-py
  • Classifier
  • View page source

Classifier

The sam_ml.models.classifier module contains several classifier wrapper models.

  • AdaBoostClassifier (ABC)
  • BaggingClassifier (BC)
  • BernoulliNB (BNB)
  • DecisionTreeClassifier (DTC)
  • ExtraTreesClassifier (ETC)
  • GaussianNB (GNB)
  • GaussianProcessClassifier (GPC)
  • GradientBoostingMachine (GBM)
  • KNeighborsClassifier (KNC)
  • LinearDiscriminantAnalysis (LDA)
  • LinearSupportVectorClassifier (LSVC)
  • LogisticRegression (LR)
  • MLP Classifier (MLPC)
  • QuadraticDiscriminantAnalysis (QDA)
  • RandomForestClassifier (RFC)
  • SupportVectorClassifier (SVC)
  • XGBClassifier (XGBC)
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