Python: introduction, installation and usage of PMML format file (using Python to transform machine learning model into PMML format file commonly used in Java)

A Virgo procedural ape 2020-11-13 05:52:17
python introduction installation usage pmml


Python:pmml Introduction to format file 、 install 、 Usage method ( utilize python Turn the machine learning model into Java frequently-used pmml Format file ) It's a detailed introduction

 

 

 

 

Catalog

pmml Introduction to format file

1、PMML structure  

pmml install

pmml How to use the format file

1、 Transform the trained model into PMML file


 

 

 

pmml Introduction to format file

       PMML(Predictive Model Markup Language) It is mainly used as the carrier of analyzing model training examples , Up to PMML 4.2 edition , Supported models include : Association rules 、 Baseline model 、 Decision tree 、 clustering 、 Return to 、KNN、 neural network 、 Bayes 、 Scoreboard 、 Sequence 、 Text 、 The time series 、 Rule sets and SVM.  PMML Use a unified specification for validation , Use XSD Do lexical verification , Use XSLT Do grammar validation , In the construction and analysis, we should follow the unified PMML Standard operation .
       PMML It's a de facto standard language , For rendering data mining models . Predictive analysis model And data mining models A term for a mathematical model , These models use statistical techniques to understand patterns hidden in large amounts of historical data . The prediction analysis model uses the knowledge acquired in the process of finalization to predict whether there is a known pattern in the new data .PMML Allows you to easily share predictive analysis models between different applications . therefore , You can shape a model in a system , stay PMML To express it in , And then move it to another system , In the system, the above model is used to predict the possibility of machine failure .
        Simply speaking ,PMML It's training models on a platform , And then it's packaged as PMML file , Then we can use the trained model directly in another platform .PMML It's the product of data mining groups , The group is a committee led by suppliers , It's made up of a variety of commercial and open source analysis companies . therefore , Most of today's leading data mining tools can be exported or imported PMML. As a developed 10 Years of mature standards ,PMML It can present statistical techniques for understanding models from data ( Such as artificial neural network and decision tree ), It can also present the preprocessing of the original input data and the post-processing of the model output .

 

1、PMML structure  

  • a) PMML label  PMML The namespace of is defined as follows :  xmlns="http://www.dmg.org/PMML-4_2"  
  • b) Header label  Header The label says PMML The beginning of the text , Can contain copyright、 describe 、 Name and other information , You can add a timestamp 、 Annotation and other elements .
  • c) MiningBuildTask   This element contains configuration information for the construction model instance , It's usually SQL or Java fragment .  
  • d) DataDictionary   This element contains information about each attribute of the mining model , adopt DataDictionary We can basically determine the scale of the model . stay DataDictionary Medium DataField Of name Must be in DataField and DerivedField Of name Only in .  
  • e) TransformationDictionary  TransformationDictionary It is mainly used for mapping from original data to model usage data , Supported mappings include normalization 、 discretization 、 Numerical mapping 、 Word frequency 、 Define functions and aggregates . 

 

 

pmml install

Python And pypmml:pypmml An introduction to the 、 install 、 A detailed introduction to how to use

 

 

 

 

pmml How to use the format file

1、 Transform the trained model into PMML file

utilize XGBoost Model for Iris Data training and turning into PMML file , Load and implement predictions

 

 

 

 

 

 

 

 

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