eml package

Subpackages

• eml.backend package
  • Submodules
  • eml.backend.base module
  • eml.backend.cplex_backend module
  • Module contents
• eml.net package
  • Subpackages
    • eml.net.reader package
      • Submodules
      • eml.net.reader.keras_reader module
      • Module contents
  • Submodules
  • eml.net.describe module
  • eml.net.embed module
  • eml.net.process module
  • Module contents
• eml.tree package
  • Subpackages
    • eml.tree.reader package
      • Submodules
      • eml.tree.reader.sklearn_reader module
      • Module contents
  • Submodules
  • eml.tree.describe module
  • eml.tree.embed module
  • eml.tree.process module
  • Module contents

Submodules

eml.util module

class eml.util.ModelDesc(ml, mdl, name)

Bases: object

Class used to shape a model descriptor

A model descriptor summarize the main feature a system, in this case will be used for empirical model learning models

_ml

Machine learning model

_mdl

Optimization model

_name

Name of the model

_exps

Expressions in the model

Type:string

Parameters:

• ml – Machine learning model
• mdl – Optimization model
• name (string) – Name of the model

expressions()

Get all the expressions stored

Returns:Expressions – Set of the expressions in the model Return type:dict(expr)

get(xtype, xidx)

Get expression

Parameters:

• xtype (string) – Type of expression
• xidx (int) – Index we want to use to store the expression

Returns:

Expr – Expression located by the coordinates

Return type:

generic type`

has(xtype, xidx)

Check if the model contains an expression given some coordinares

Parameters:

• xtype (string) – Type of expression
• xidx (int) – Index we want to use to store the expression

Returns:

Acknowledge – True if the expression is present, False otherwise

Return type:

bool

ml_model()

Get machine learning model

Returns:Machine learning model – Machine learning model Return type:generic type

model()

Get the optimization model

Returns:Optimization Model – Combinatorial system Return type:docplex.mp.model.Model

name()

Get name of the model

Returns:Name – Name of the model Return type:string

store(xtype, xidx, val)

Store expression

Parameters:

• xtype (string) – Type of expression
• xidx (int) – Index we want to use to store the expression
• val – Value to store

Module contents