1.4.3 • Published 7 months ago

@datagrok/eda v1.4.3

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License
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Repository
github
Last release
7 months ago

EDA

EDA is a package for the Datagrok platform. It provides the following exploratory data analysis and machine learning tools:

  • Dimensionality reduction
    • Principal component analysis (PCA)
    • Uniform manifold approximation and projection (UMAP)
    • t-distributed stochastic neighbor embedding (t-SNE)
    • Stochastic proximity embedding (SPE)
  • Multivariate analysis
    • Partial least squares regression (PLS)
    • Quadratic PLS regression
  • Supervised machine learning
  • Analysis of variances (ANOVA)
    • One-way ANOVA (link)
  • Missing data imputation
    • k-nearest neighbors method (KNN)
dayjsjstatumap-jscash-domdatagrok-api@keckelt/tsne@webgpu/typesworker-loadersource-map-loader@datagrok-libraries/ml@datagrok-libraries/math@datagrok-libraries/utils@datagrok-libraries/tutorials
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