mirror of https://github.com/microsoft/autogen.git
update regression metrics in notebooks (#454)
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@ -122,7 +122,7 @@
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"source": [
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"settings = {\n",
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" \"time_budget\": 240, # total running time in seconds\n",
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2']\n",
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2','rmse','mape']\n",
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" \"estimator_list\": ['lgbm'], # list of ML learners; we tune lightgbm in this example\n",
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" \"task\": 'regression', # task type \n",
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" \"log_file_name\": 'houses_experiment.log', # flaml log file\n",
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@ -977,7 +977,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.0"
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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@ -121,7 +121,7 @@
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"source": [
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"settings = {\n",
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" \"time_budget\": 120, # total running time in seconds\n",
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2']\n",
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" \"metric\": 'r2', # primary metrics for regression can be chosen from: ['mae','mse','r2','rmse','mape']\n",
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" \"estimator_list\": ['xgboost'], # list of ML learners; we tune xgboost in this example\n",
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" \"task\": 'regression', # task type \n",
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" \"log_file_name\": 'houses_experiment.log', # flaml log file\n",
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