sasctl.utils package

Subpackages

• sasctl.utils.pymas package
  • Submodules
  • sasctl.utils.pymas.core module
    • PyMAS
      • PyMAS.score_code()
    • build_wrapper_function()
    • from_inline()
    • from_pickle()
    • from_python_file()
    • wrap_predict_method()
    • wrap_predict_proba_method()
  • sasctl.utils.pymas.ds2 module
    • DS2BaseMethod
      • DS2BaseMethod.code()
      • DS2BaseMethod.name
    • DS2BasePackage
      • DS2BasePackage.code()
      • DS2BasePackage.id
      • DS2BasePackage.name
    • DS2Method()
    • DS2Package()
    • DS2PyMASMethod
    • DS2PyMASPackage
      • DS2PyMASPackage.add_method()
    • DS2ScoreMethod()
    • DS2Thread
      • DS2Thread.id
      • DS2Thread.name
    • DS2Variable
      • DS2Variable.DS2_TYPE_TO_VIYA
      • DS2Variable.PY_TYPE_TO_DS2
      • DS2Variable.as_declaration()
      • DS2Variable.as_model_metadata()
      • DS2Variable.as_parameter()
      • DS2Variable.is_array
      • DS2Variable.pymas_statement()
      • DS2Variable.size
  • sasctl.utils.pymas.python module
    • ds2_variables()
    • parse_type_hints()
    • parse_type_hints_from_annotations()
    • parse_type_hints_from_source()
  • Module contents
• sasctl.utils.pyml2ds package
  • Submodules
  • sasctl.utils.pyml2ds.pyml2ds module

Submodules

sasctl.utils.astore module

sasctl.utils.astore.create_files_from_astore(table)

Generate files for importing a model from an ASTORE.

Parameters:

table (swat.cas.table.CASTable) – The CAS table containing the ASTORE.

Returns:

dict – Dictionary of filename: content pairs.

sasctl.utils.astore.create_package(table, input=None)

Create an importable model package from a CAS table.

Parameters:

• table (swat.cas.table.CASTable) – The CAS table containing an ASTORE or score code.

• input (pandas.DataFrame, type, list of type, or dict of str, optional) – The expected type for each input value of the target function. Can be omitted if target function includes type hints. If a DataFrame is provided, the columns will be inspected to determine type information. If a single type is provided, all columns will be assumed to be that type, otherwise a list of column types or a dictionary of column_name: type may be provided.

Returns:

BytesIO – A byte stream representing a ZIP archive which can be imported.

See also

import_model_from_zip

sasctl.utils.astore.create_package_from_astore(table)

Create an importable model package from an ASTORE.

Parameters:

table (swat.cas.table.CASTable) – The CAS table containing the ASTORE.

Returns:

BytesIO – A byte stream representing a ZIP archive which can be imported.

See also

import_model_from_zip

sasctl.utils.astore.create_package_from_datastep(table, input=None)

Create an importable model package from a score code table.

Parameters:

• table (swat.cas.table.CASTable) – The CAS table containing the score code.

• input (pandas.DataFrame, type, list of type, or dict of str, optional) – The expected type for each input value of the target function. Can be omitted if target function includes type hints. If a DataFrame is provided, the columns will be inspected to determine type information. If a single type is provided, all columns will be assumed to be that type, otherwise a list of column types or a dictionary of column_name: type may be provided.

Returns:

BytesIO – A byte stream representing a ZIP archive which can be imported.

See also

import_model_from_zip

sasctl.utils.astore.get_variable_properties(var)

Module contents