Python Client API for machine learning algorithms

Contents:

• SAP HANA Python Client API for Machine Learning Algorithms
  • Introduction
  • Overview
  • Prerequisites
  • Available Modules and Algorithms
  • SAP HANA Dataframe
  • Machine Learning API
  • End-to-End Example: Using the Predictive Analytics Library (PAL) module
  • End-to-End Example: Using the Automated Predictive Library (APL) module
  • Summary
• Change Log for the SAP HANA Python Client API
  • What’s New and Changed in 1.0.5
• hana_ml.dataframe
• hana_ml.algorithms.apl package
  • hana_ml.algorithms.apl.classification
  • hana_ml.algorithms.apl.regression
• hana_ml.algorithms.pal package
  • hana_ml.algorithms.pal.clustering
  • hana_ml.algorithms.pal.decomposition
  • hana_ml.algorithms.pal.linear_model
  • hana_ml.algorithms.pal.metrics
  • hana_ml.algorithms.pal.mixture
  • hana_ml.algorithms.pal.naive_bayes
  • hana_ml.algorithms.pal.neighbors
  • hana_ml.algorithms.pal.neural_network
  • hana_ml.algorithms.pal.preprocessing
  • hana_ml.algorithms.pal.regression
  • hana_ml.algorithms.pal.stats
  • hana_ml.algorithms.pal.svm
  • hana_ml.algorithms.pal.trees
• hana_ml.ml_exceptions

Indices and tables

• Search Page