idmtools_calibra.algorithms.next_point_algorithm module¶
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class
idmtools_calibra.algorithms.next_point_algorithm.NextPointAlgorithm¶ Bases:
object-
abstract
set_state(state, iteration)¶
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restore(iteration_state)¶
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abstract
cleanup()¶
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abstract
get_param_names()¶
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abstract
get_samples_for_iteration(iteration)¶
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abstract
get_state()¶
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abstract
set_results_for_iteration(iteration, results)¶
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abstract
end_condition()¶
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abstract
get_final_samples()¶
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update_iteration(iteration)¶ Update the current iteration state of the algorithm.
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prep_for_dict(df)¶ Utility function allowing to transform a DataFrame into a dict removing null values
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static
sample_from_function(function, N)¶
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update_summary_table(iteration_state, previous_results)¶ - Returns a summary table of the form:
[result1 result2 results_total param1 param2 iteration simIds] index = sample Used by OptimTool and IMIS algorithm
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get_results_to_cache(results)¶
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generate_samples_from_df(dfsamples)¶
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abstract