Python Client API for machine learning algorithms

Contents:

• Python Machine Learning Client for SAP HANA
  • Prerequisites
  • Available Modules and Algorithms
  • SAP HANA DataFrame
  • Machine Learning API
  • End-to-End Example: Using SAP HANA Predictive Analytics Library (PAL) module
  • End-to-End Example: Using Automated Predictive Library (APL) module
  • Visualizers Module
  • Spatial and Graph Features
  • Summary
• Installation Guide
  • Package dependencies for various modules
• hana-ml Tutorials
• Changelog
  • What's New and Changed in version 2.13.220722
  • What's New and Changed in version 2.13.220715
  • What's New and Changed in version 2.13.220701
  • What's New and Changed in version 2.13.220608
  • What's New and Changed in version 2.13.220511
  • What's New and Changed in version 2.12.220428
  • What's New and Changed in version 2.12.220425
  • What's New and Changed in version 2.12.220408
  • What's New and Changed in version 2.12.220325
  • What's New and Changed in version 2.11.220209
  • What's New and Changed in version 2.11.220107
  • What's New and Changed in version 2.11.211211
  • What's New and Changed in version 2.10.210918
  • What's New and Changed in version 2.9.210726
  • What's New and Changed in version 2.9.210709
  • What's New and Changed in version 2.9.210630
  • What's New and Changed in version 2.9.210619
  • What's New and Changed in version 2.8.210421
  • What's New and Changed in version 2.8.210321
  • What's New and Changed in version 2.6.210126
  • What's New and Changed in version 2.6.210113
  • What's New and Changed in version 2.6.201209
  • What's New and Changed in version 2.6.201106
  • What's New and Changed in version 2.6.201016(2.6.200928)
  • What's New and Changed in version 2.5.200626
  • What's New and Changed in version 1.0.8
• hana_ml.dataframe
• hana_ml.algorithms.apl package
  • hana_ml.algorithms.apl.gradient_boosting_classification
  • hana_ml.algorithms.apl.gradient_boosting_regression
  • hana_ml.algorithms.apl.time_series
  • hana_ml.algorithms.apl.classification
  • hana_ml.algorithms.apl.regression
  • hana_ml.algorithms.apl.clustering
• hana_ml.algorithms.pal package
  • hana_ml.algorithms.pal.abc_analysis
  • hana_ml.algorithms.pal.association
  • hana_ml.algorithms.pal.clustering
  • hana_ml.algorithms.pal.crf
  • hana_ml.algorithms.pal.decomposition
  • hana_ml.algorithms.pal.decomposition.LatentDirichletAllocation
  • hana_ml.algorithms.pal.decomposition.PCA
  • hana_ml.algorithms.pal.decomposition.CATPCA
  • hana_ml.algorithms.pal.discriminant_analysis
  • hana_ml.algorithms.pal.kernel_density
  • hana_ml.algorithms.pal.linear_model
  • hana_ml.algorithms.pal.linear_model.LinearRegression
  • hana_ml.algorithms.pal.linear_model.LogisticRegression
  • hana_ml.algorithms.pal.linear_model.OnlineLinearRegression
  • hana_ml.algorithms.pal.linear_model.OnlineMultiLogisticRegression
  • hana_ml.algorithms.pal.linkpred
  • hana_ml.algorithms.pal.metrics
  • hana_ml.algorithms.pal.mixture
  • hana_ml.algorithms.pal.model_selection
  • hana_ml.algorithms.pal.naive_bayes
  • hana_ml.algorithms.pal.neighbors
  • hana_ml.algorithms.pal.neighbors.KNNClassifier
  • hana_ml.algorithms.pal.neighbors.KNNRegressor
  • hana_ml.algorithms.pal.neural_network
  • hana_ml.algorithms.pal.neural_network.MLPClassifier
  • hana_ml.algorithms.pal.neural_network.MLPRegressor
  • hana_ml.algorithms.pal.pagerank
  • hana_ml.algorithms.pal.partition
  • hana_ml.algorithms.pal.pipeline
  • hana_ml.algorithms.pal.preprocessing
  • hana_ml.algorithms.pal.random
  • hana_ml.algorithms.pal.recommender
  • hana_ml.algorithms.pal.regression
  • hana_ml.algorithms.pal.som
  • hana_ml.algorithms.pal.stats
  • hana_ml.algorithms.pal.svm
  • hana_ml.algorithms.pal.svm.SVC
  • hana_ml.algorithms.pal.svm.SVR
  • hana_ml.algorithms.pal.svm.SVRanking
  • hana_ml.algorithms.pal.svm.OneClassSVM
  • hana_ml.algorithms.pal.trees
  • hana_ml.algorithms.pal.trees.DecisionTreeClassifier
  • hana_ml.algorithms.pal.trees.DecisionTreeRegressor
  • hana_ml.algorithms.pal.trees.RDTClassifier
  • hana_ml.algorithms.pal.trees.RDTRegressor
  • hana_ml.algorithms.pal.trees.HybridGradientBoostingClassifier
  • hana_ml.algorithms.pal.trees.HybridGradientBoostingRegressor
  • hana_ml.algorithms.pal.tsne
  • hana_ml.algorithms.pal.tsa.accuracy_measure
  • hana_ml.algorithms.pal.tsa.additive_model_forecast
  • hana_ml.algorithms.pal.tsa.arima
  • hana_ml.algorithms.pal.tsa.auto_arima
  • hana_ml.algorithms.pal.tsa.bsts
  • hana_ml.algorithms.pal.tsa.changepoint
  • hana_ml.algorithms.pal.tsa.correlation_function
  • hana_ml.algorithms.pal.tsa.dtw
  • hana_ml.algorithms.pal.tsa.fast_dtw
  • hana_ml.algorithms.pal.tsa.fft
  • hana_ml.algorithms.pal.tsa.garch
  • hana_ml.algorithms.pal.tsa.hierarchical_forecast
  • hana_ml.algorithms.pal.tsa.intermittent_forecast
  • hana_ml.algorithms.pal.tsa.lr_seasonal_adjust
  • hana_ml.algorithms.pal.tsa.lstm
  • hana_ml.algorithms.pal.tsa.online_algorithms
  • hana_ml.algorithms.pal.tsa.rnn
  • hana_ml.algorithms.pal.tsa.seasonal_decompose
  • hana_ml.algorithms.pal.tsa.trend_test
  • hana_ml.algorithms.pal.tsa.vector_arima
  • hana_ml.algorithms.pal.tsa.wavelet
  • hana_ml.algorithms.pal.tsa.white_noise_test
  • hana_ml.algorithms.pal.unified_classification
  • hana_ml.algorithms.pal.wst
  • hana_ml.algorithms.pal.unified_regression
  • hana_ml.algorithms.pal.unified_clustering
  • hana_ml.algorithms.pal.unified_exponentialsmoothing
  • hana_ml.algorithms.pal.auto_ml
  • hana_ml.algorithms.pal.tsa.stationarity_test
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.SingleExponentialSmoothing
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.DoubleExponentialSmoothing
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.TripleExponentialSmoothing
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.AutoExponentialSmoothing
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.BrownExponentialSmoothing
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.Croston
  • hana_ml.algorithms.pal.tsa.exponential_smoothing.CrostonTSB
• hana_ml.visualizers package
  • hana_ml.visualizers.eda
  • hana_ml.visualizers.metrics
  • hana_ml.visualizers.m4_sampling
  • hana_ml.visualizers.model_debriefing
  • hana_ml.visualizers.dataset_report
  • hana_ml.visualizers.shap
  • hana_ml.visualizers.unified_report
  • hana_ml.visualizers.visualizer_base
  • hana_ml.visualizers.digraph
  • hana_ml.visualizers.word_cloud
  • hana_ml.visualizers.automl_progress
  • hana_ml.visualizers.automl_report
• hana_ml.ml_exceptions
• hana_ml.model_storage
• hana_ml.artifacts package
  • AMDP Examples
  • hana_ml.artifacts.deployers.amdp
  • hana_ml.artifacts.generators.abap
  • hana_ml.artifacts.generators.hana
• hana_ml.docstore package
• hana_ml.spatial package
• hana_ml.graph package
• hana_ml.graph.algorithms package
• hana_ml.text.tm package
  • hana_ml.text.tm
• FAQs
  • Q1 : Which version of hana-ml should I install?
  • Q2 : Why do I meet a 'matplotlib' error when I invoke box_plot()?
  • Q3 : Why do I meet a error "[WinError 126] The specified module could not be found" when I import hana-ml?
  • Q4 : What dependencies are required for hana-ml?
  • Q5 : How to solve the garbled Chinese font problem like □□, when I use library 'Matplotlib'?
  • Q6 : Why the output of FeatureNormalizer and KBinsDiscretizer is not what I expect? For example, the transformed value is a integer when a float is expected in FeatureNormalizer.
  • Q7 : How could I solve the "RuntimeError: Failed to transform image object to string!", when I use UnifiedReport?
  • Q8 : How could I solve the issue "KeyError: 'STORAGE_TYPE'" when I use model storage functionalites after I upgrade hana-ml to version 2.9.21XXXX?
  • Q9 : Why do I meet a error message like "SAP DBTech JDBC: [328]: invalid name of function or procedure: no procedure with name XXX found:"?
  • Q10 : Why do I meet a error "'NoneType' object has no attribute 'connection'" when I use model storage functionality for ARIMA/AutoARIMA in predict function?
  • Q11 : Why there is no figure appear when I invoke ShapleyExplainer and its function summary_plot()?
  • Q12 : Why an additional figure ( e.g. a confusion matrix) is displayed under each page of a report when I invoke UnifiedReport() to display a model report?
  • Q13 : How can I install hana-ml on Mac with new M1 processor because I get "ERROR: Could not find a version that satisfies the requirement hdbcli (from versions: none) and ERROR: No matching distribution found for hdbcli"?
  • Q14 : How to manage SAP HANA workload with Workload Classes?

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