Experimental environment. #10
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… stage of experiment. fix: Some fixes on second stage. TODO: Refactoring
…ave more data for pdf report.
…ution will dumped and parsed correctly
…ct everytime will generate different indicators ci/cd: fix
toxakaz
reviewed
Dec 9, 2024
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| def create_mixture( | ||
| self, models: list[type[AModel]], seed: int = 42 |
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Using seed as a parameter for each mixture distribution initialization may be uncomfortable. Better set it once
experimental_env/experiment/experiment_executors/abstract_executor.py
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Add some example for experimental environment |
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An experimental environment for studying the EM algorithm.
The experiment is divided into 4 stages:
Stage 1:
Generation of datasets, random and user-defined is available.
Stage 2:
Conducting an experiment using a user-selected method, as well as saving all information about the parameter estimation process.
Stage 3:
Analysis of the resulting estimates. All kinds of graph conclusions and various methods of evaluating effectiveness will be available.
After all the procedures, the analysis results are saved.
Stage 4:
Preparation of a pdf report based on the results of the analysis at stage 3.