1 line
2.3 KiB
JSON
1 line
2.3 KiB
JSON
{"repo": "angrysigma/laafe", "files": {"cfg/cfg_example.yaml": {"58c6f975310583407090f0dcbdc56cd3e7a5b3f9": {"t": 1785674400.820947, "n": 2012, "h": "dfdb4087d28e7da8", "c": "defaults:\n - _self_\n - llm_template: llm_template\n - initial_advice: initial_advice\n\nproblem_type: \"classification\"\nmodel_type: \"random_forest_classifier\"\n# choice from catboost_classifier, linear_classifier, svm_classifier, random_forest_classifier\nclassification:\n metrics:\n - \"accuracy\"\n - \"f1\"\n - \"precision\"\n - \"recall\"\n - \"roc_auc\"\n datasets:\n - 40945\n - 31\n - 1464\n - 1504\n - 334\n - 50\n\nregression:\n metrics:\n - \"mean_absolute_error\"\n - \"mean_squared_error\"\n - \"root_mean_squared_error\"\n - \"mean_squared_logarithmic_error\"\n - \"median_absolute_error\"\n datasets:\n - 8\n - 204\n - 210\n - 560\n\nllm:\n llm_backend: \"vsegpt\"\n experiment_description: ${llm_template.experiment_description}\n output_format: ${llm_template.output_format}\n available_nodes_description: ${llm_template.available_nodes_description}\n instruction: ${llm_template.instruction}\n message_order: ${llm_template.message_order}\n operation_split: \"->\"\n operators:\n - \"add\"\n - \"sub\"\n - \"mul\"\n - \"div\"\n - \"pca\"\n - \"fillnamean\"\n - \"fillnamedian\"\n - \"std\"\n - \"minmax\"\n - \"drop\"\n# - \"frequencyencoding\"\n - \"binning\"\n - \"labelencoding\"\n - \"onehotencoding\"\n sleep_timeout: 20\n vsegpt:\n _target_: langchain_openai.ChatOpenAI\n temperature: 0\n model_name: \"gpt-3.5-turbo\"\n\n api_key: \"sk-or-vv-...\"\n openai_api_base: \"https://api.vsegpt.ru/v1/\"\n openai:\n _target_: langchain_openai.ChatOpenAI\n temperature: 0\n model_name: \"gpt-3.5-turbo\"\n organization: \"org-...\" # original\n api_key: \"sk-...\"\n groq:\n _target_: langchain_groq.ChatGroq\n model_name: \"llama3-70b-8192\"\n temperature: 0\n groq_api_key: \"gsk_...\"\n\ndataset_advice: ${initial_advice}\n\nexperiment:\n give_initial_advice: True # or False if no multistep optimization is needed\n test_mode: False\n# choice from random_search, random_predefined, interactive or None\n num_iterations: 10\n root_path: \"/home/root/path\"\n save_results: True\n"}}}} |