daal4py
2021

Contents:

  • About daal4py
  • Data
  • Supported Algorithms
  • Distribution
  • Streaming
  • Examples
  • Scikit-Learn API
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Contents¶

Contents:

  • About daal4py
    • Designed for Data Scientists and Framework Designers
    • API Design and usage
    • oneAPI and GPU support in daal4py
    • Daal4py’s Design
    • Built for Performance
    • Getting daal4py
    • Supported configurations
    • Overview
    • Scikit-Learn API and patching
  • Data
    • Numpy Arrays
    • Pandas DataFrames
    • SciPy Sparse CSR Matrix
    • CSV Files
  • Supported Algorithms
    • Classification
    • Regression
    • Principal Component Analysis (PCA)
    • K-Means Clustering
    • Density-Based Spatial Clustering of Applications with Noise
    • Outlier Detection
    • Optimization Solvers
    • Distances
    • Expectation-Maximization (EM)
    • QR Decomposition
    • Normalization
    • Random Number Engines
    • Distributions
    • Association Rules
    • Cholesky Decomposition
    • Correlation and Variance-Covariance Matrices
    • Implicit Alternating Least Squares (implicit ALS)
    • Moments of Low Order
    • Quantiles
    • Singular Value Decomposition (SVD)
    • Sorting
    • Trees
  • Distribution
    • It’s Easy
    • Supported Algorithms and Examples
  • Streaming
    • Supported Algorithms and Examples
  • Examples
    • Data Science examples
    • General usage
  • Scikit-Learn API
    • oneDAL accelerated scikit-learn
    • scikit-learn verbose
    • scikit-learn API
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