Dataset experiments #220
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Dataset experiments #220
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Change is_precomputed_minmax = False for HRFC (for experiments)
motiwari
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Jul 29, 2022
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@vxbrandon 2 inline questions
…ompare_runtimes.py
…plicated code. Also cleaned up Jeys real_experiments.py and regression_experiment.py
…some SKLEARN to SKLEARN_REGRESSION to avoid naming collision
…fs to logs dir, choosing datasets
…t_experiments # Conflicts: # experiments/datasets/data_loader.py # experiments/runtime_exps/compare_runtimes.py
…unately contains the bug about solver reduction to each feature being an arm, but should be ok to use these for Table 1
…g good except blog dataset
…re fit in budget experiments
…o fixing bincounts to bincount
- Find the best hyperparams setting for table 5 experiment.
…rest into reproducec_experiments
…from 2 to 5 2. Implement a function that converts a target vector in classification problem to a vector of contiguous integers 3. Update requirements.txt 4. Fix bugs that the codes don't log the files in the right place depending on where we run the codes
Reproduce experiments
2. Increase max depth to 5 in runtime experiments on sklearn regression dataset.
…25, conf_multiplier=1, MAB outperforms RANDOM_SOLVER
…eirs still slightly worse
Random baseline merge for skeleton code for random baseline
…ith more generous hyperparameters, Table 1 forest covtype accuracies a bit worse, and Table 2 some rows are identical, Scaling plots look worse than linear on smaller dataset (MNIST). Other than that, ok
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Parsing Jey's changes