TableMage

Contents:

  • Introduction
  • Getting Started
    • Installation
    • Demo
      • TableMage Demonstration
        • Notebook Contents
      • Section 1: Introduction
        • 1.1: Installation
        • 1.2 The Analyzer Class
        • 1.3 Submodules
      • Section 2: Exploratory Data Analysis
        • 2.1 Plots
        • 2.2 Tables
      • Section 3: Regression Analysis
      • Section 4: Causal Inference
      • Section 5: Machine Learning
      • Section 6: Conversational Data Analysis
  • Python API Reference
    • Analyzer (tm.Analyzer)
      • Analyzer
        • Analyzer.__init__()
        • Analyzer.categorical_vars()
        • Analyzer.causal()
        • Analyzer.classify()
        • Analyzer.cluster()
        • Analyzer.df_all()
        • Analyzer.df_test()
        • Analyzer.df_train()
        • Analyzer.drop_highly_missing_vars()
        • Analyzer.dropna()
        • Analyzer.eda()
        • Analyzer.engineer_categorical_var()
        • Analyzer.engineer_numeric_var()
        • Analyzer.force_binary()
        • Analyzer.force_categorical()
        • Analyzer.force_numeric()
        • Analyzer.impute()
        • Analyzer.load_data_checkpoint()
        • Analyzer.logit()
        • Analyzer.numeric_vars()
        • Analyzer.ols()
        • Analyzer.onehot()
        • Analyzer.regress()
        • Analyzer.remove_data_checkpoint()
        • Analyzer.save_data_checkpoint()
        • Analyzer.scale()
        • Analyzer.select_features()
        • Analyzer.select_vars()
        • Analyzer.shape()
        • Analyzer.value_counts()
        • Analyzer.vars()
    • Machine Learning Models (tm.ml)
      • tm.ml.LinearR
        • LinearR
      • tm.ml.RobustLinearR
        • RobustLinearR
      • tm.ml.TreesR
        • TreesR
      • tm.ml.SVMR
        • SVMR
      • tm.ml.MLPR
        • MLPR
      • tm.ml.LinearC
        • LinearC
      • tm.ml.TreesC
        • TreesC
      • tm.ml.SVMC
        • SVMC
      • tm.ml.MLPC
        • MLPC
    • Feature Selectors (tm.fs)
      • tm.fs.KBestFSR
        • KBestFSR
      • tm.fs.LassoFSR
        • LassoFSR
      • tm.fs.BorutaFSR
        • BorutaFSR
      • tm.fs.KBestFSC
        • KBestFSC
      • tm.fs.LassoFSC
        • LassoFSC
      • tm.fs.BorutaFSC
        • BorutaFSC
    • Reports (tm._reports)
      • tm._reports.MLClassificationReport
        • MLClassificationReport
      • tm._reports.MLRegressionReport
        • MLRegressionReport
      • tm._reports.OLSReport
        • OLSReport
      • tm._reports.EDAReport
        • EDAReport
      • tm._reports.VotingSelectionReport
        • VotingSelectionReport
      • tm._reports.StatisticalTestReport
        • StatisticalTestReport
      • tm._reports.CausalReport
        • CausalReport
    • Agents (tm.agents)
      • tm.use_agents
        • use_agents()
      • tm.agents.ChatDA
        • ChatDA
      • tm.agents.ChatDA_UserInterface
        • ChatDA_UserInterface
      • tm.agents.options
        • set_llm()
        • set_multimodal_llm()
  • Contributors
TableMage
  • TableMage
  • View page source

TableMage

TableMage is a Python package for low-code clinical data science.

Contents:

  • Introduction
  • Getting Started
    • Installation
    • Demo
  • Python API Reference
    • Analyzer (tm.Analyzer)
    • Machine Learning Models (tm.ml)
    • Feature Selectors (tm.fs)
    • Reports (tm._reports)
    • Agents (tm.agents)
  • Contributors
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© Copyright 2025, Andrew Yang.

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