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mlinsights 0.5.0 documentation
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mlinsights 0.5.0 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
    • Close leaves in a decision trees
    • LogisticRegression and Clustering
    • 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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Examples Gallery#

Quantile MLPRegressor

Quantile MLPRegressor

Traceable n-grams with tf-idf

Traceable n-grams with tf-idf

KMeans with norm L1

KMeans with norm L1

Quantile Regression

Quantile Regression

numpy.digitize as a tree

numpy.digitize as a tree

Piecewise linear regression with scikit-learn predictors

Piecewise linear regression with scikit-learn predictors

Predictable t-SNE

Predictable t-SNE

Constraint KMeans

Constraint KMeans

Custom DecisionTreeRegressor adapted to a linear regression

Custom DecisionTreeRegressor adapted to a linear regression

Visualize a scikit-learn pipeline

Visualize a scikit-learn pipeline

Close leaves in a decision trees

Close leaves in a decision trees

LogisticRegression and Clustering

LogisticRegression and Clustering

Piecewise classification with scikit-learn predictors

Piecewise classification with scikit-learn predictors

Search images with deep learning (torch)

Search images with deep learning (torch)

Regression with confidence interval

Regression with confidence interval

Transformed Target

Transformed Target

Decision Tree and Logistic Regression

Decision Tree and Logistic Regression

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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