23ws-LLMcoder/LLMcoder-GitHub-Python-Mix-Direct
Dataset Card for LLMcoder-GitHub-Python-Mix-Direct Python target autocomplete suggestions in the format of conversations for OpenAI's fine-tuning. Dataset Details Dataset Description Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Dataset Sources [optional] The data… See the full description on the dataset page: https://huggingface.co/datasets/23ws-LLMcoder/LLMcoder-GitHub-Python-Mix-Direct.
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1 i = np.arange(len(y))2 rng = np.random.RandomState(random_state)3 rng.shuffle(i)4 visualize_tree(clf, X[i[:N]], y[i[:N]], boundaries=False,5 xlim=xlim, ylim=ylim)6 7 interact(fit_randomized_tree, random_state=[0, 100]);