Visual Python Manual
  • Visual Python Manual
  • GETTING STARTED
    • Welcome to Visual Python
    • How to install
    • Installing FAQ
    • Official homepage
    • Link to Github
  • Data Analysis
    • 1. Import
    • 2. File
    • 3. Data Info
    • 4. Frame
      • 4-1. Frame - Edit
      • 4-2. Frame - Transform
      • 4-3. Frame - Sort
      • 4-4. Frame - Encoding
      • 4-5. Frame - Data Cleaning
    • 5. Subset
    • 6. Groupby
    • 7. Bind
    • 8. Reshape
  • Visualization
    • 1. Chart Style
    • 2. Pandas Plot
    • 3. Matplotlib
    • 4. Seaborn
    • 5. Plotly
    • 6. WordCloud
  • Statistics
    • 1. Prob. Distribution
    • 2. Descriptive Statistics
    • 3. Normality Test
    • 4. Equal Var. Test
    • 5. Correlation Analysis
    • 6. Reliability Analysis
    • 7. Chi-square Test
    • 8. Student's T-test
    • 9. ANOVA
    • 10. Factor Analysis
    • 11. Regression
    • 12. Logistic Regression
  • Machine Learning
    • 1. Data Sets
    • 2. Data Split
    • 3. Data Prep
    • 4. AutoML
    • 5. Regressor
    • 6. Classifier
    • 7. Clustering
    • 8. Dimension
    • 9. GridSearch
    • 10. Fit/Predict
    • 11. Model Info
    • 12. Evaluation
    • 13. Pipeline
    • 14. Save / Load
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On this page
  • Data Preparation
  • Regression / Classification / GridSearch
  • Clustering
  • Dimension Reduction
  1. Machine Learning

13. Pipeline

Previous12. EvaluationNext14. Save / Load

Last updated 8 months ago

  1. Click on Pipeline in the Machine Learning category.

  1. Pipeline: Choose the type of task:

    • Data Preparation

    • Regression / Classification / GridSearch

    • Clustering

    • Dimension Reduction

  2. Code view: Preview the code that will be generated.

  3. Run: Execute the code.

Data Preparation

  1. Data Prep

  2. Fit

  3. Transform

Regression / Classification / GridSearch

  1. Data Split

  2. Regressor / Classifier / GridSearch

  3. Fit

  4. Predict

  5. Evaluation

Clustering

  1. Clustering

  2. Fit

  3. Predict

  4. Transform

  5. Evaluation

Dimension Reduction

  1. Dimension Reduction

  2. Fit

  3. Transform