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mlinsights 0.5.3 documentation
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mlinsights 0.5.3 documentation

Documentation

  • Tutorial
  • API
    • mlinsights.plotting
    • mlinsights.helpers
    • mlinsights.metrics
    • mlinsights.mlbatch
    • mlinsights.mlmodel
    • mlinsights.mlmodel (trees)
    • mlinsights.search_rank
    • mlinsights.sklapi
    • Trees
    • mlinsights.mlmodel.direct_blas_lapack
    • mlinsights.timeseries
  • Examples Gallery
    • Quantile MLPRegressor
    • Traceable n-grams with tf-idf
    • KMeans with norm L1
    • Quantile Regression
    • numpy.digitize as a tree
    • Piecewise linear regression with scikit-learn predictors
    • Predictable t-SNE
    • Constraint KMeans
    • Custom DecisionTreeRegressor adapted to a linear regression
    • DecisionTreeRegressor with custom implementation
    • Visualize a scikit-learn pipeline
    • LogisticRegression and Clustering
    • Close leaves in a decision trees
    • Piecewise classification with scikit-learn predictors
    • Search images with deep learning (torch)
    • Regression with confidence interval
    • Transformed Target
    • Decision Tree and Logistic Regression
  • Short Examples
  • FAQ

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  • LICENSE
  • Change Logs
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