dataframe-learn-1.0.2.0: dataframe-learn.cabal

cabal-version:      2.4
name:               dataframe-learn
version:            1.0.2.0

synopsis:           Decision trees and feature synthesis for the dataframe ecosystem.
description:
    @DataFrame.DecisionTree@ — decision-tree training on DataFrames.
    @DataFrame.Synthesis@ — feature synthesis. Built on top of
    @dataframe-operations@.

bug-reports:        https://github.com/mchav/dataframe/issues
license:            MIT
license-file:       LICENSE
author:             Michael Chavinda
maintainer:         mschavinda@gmail.com
copyright:          (c) 2024-2026 Michael Chavinda
category:           Data
tested-with:        GHC ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2

common warnings
    ghc-options:
        -Wincomplete-patterns
        -Wincomplete-uni-patterns
        -Wunused-imports
        -Wunused-local-binds
        -Wunused-packages

library
    import:             warnings
    exposed-modules:
                        DataFrame.DecisionTree
                        DataFrame.DecisionTree.Types
                        DataFrame.DecisionTree.CondVec
                        DataFrame.DecisionTree.Cart
                        DataFrame.DecisionTree.Numeric
                        DataFrame.DecisionTree.Prune
                        DataFrame.DecisionTree.Predict
                        DataFrame.DecisionTree.Categorical
                        DataFrame.DecisionTree.Pool
                        DataFrame.DecisionTree.Linear
                        DataFrame.DecisionTree.Tao
                        DataFrame.DecisionTree.Fit
                        DataFrame.LinearSolver
                        DataFrame.Synthesis
    build-depends:      base >= 4 && < 5,
                        containers >= 0.6.7 && < 0.9,
                        parallel ^>= 3.2,
                        dataframe-core ^>= 1.0,
                        dataframe-operations ^>= 1.1,
                        text >= 2.0 && < 3,
                        vector ^>= 0.13,
                        vector-algorithms ^>= 0.9
    hs-source-dirs:     src
    default-language:   Haskell2010