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Da4kek / Dijkstra-Implementation

Dijkistra algorithm implementation
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Complete Implementation by adding Genetic algorithm #1

Open Da4kek opened 1 year ago

Da4kek commented 1 year ago

Have to rework the algorithm and add a heuristic algorithm for complete implementation.

vargab100 commented 1 year ago

I am trying GA with TPOT

""" tpot= TPOTRegressor(generations= 5, population_size= 24,offspring_size = 12,mutation_rate=0.9,subsample=1.0, n_jobs=1, verbosity= 2, early_stop= 12,random_state=20,crossover_rate=0.1, config_dict={'sklearn.ensemble.RandomForestRegressor': param} ) tpot.fit(X_train,y_train) """

is where is a way or any in-build function to print the hyperparameter values for which my model is best fitted???

Da4kek commented 1 year ago

You can use sci-kit learn Pipeline and gridsearchcv. Pipeline, to combine more than 1 model Gridsearchcv, to brute force hyperparameters and print the best hyperparameter from the given. https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html here's the documentation in case you want to refer.