diff --git a/Tutorial/1_Estimators_Overview.ipynb b/Tutorial/1_Estimators_Overview.ipynb index 7da6be38..cae78a96 100644 --- a/Tutorial/1_Estimators_Overview.ipynb +++ b/Tutorial/1_Estimators_Overview.ipynb @@ -134,7 +134,7 @@ "X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, train_size=0.75, test_size=0.25)\n", "\n", "\n", - "est = tpot2.TPOTClassifier(n_jobs=40, max_time_seconds=30, verbose=5, generations=1, population_size=5)\n", + "est = tpot2.TPOTClassifier(n_jobs=40, max_time_mins=30, verbose=5, generations=1, population_size=5)\n", "est.fit(X_train, y_train)\n", "\n", "\n", @@ -815,7 +815,7 @@ "X, y = sklearn.datasets.load_diabetes(return_X_y=True)\n", "X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, train_size=0.75, test_size=0.25)\n", "\n", - "est = tpot2.tpot_estimator.templates.TPOTRegressor(n_jobs=4, max_time_seconds=30, verbose=2, cv=5)\n", + "est = tpot2.tpot_estimator.templates.TPOTRegressor(n_jobs=4, max_time_mins=30, verbose=2, cv=5)\n", "est.fit(X_train, y_train)\n", "\n", "print(scorer(est, X_test, y_test))" @@ -865,7 +865,7 @@ " X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, train_size=0.75, test_size=0.25)\n", "\n", "\n", - " est = tpot2.TPOTClassifier(n_jobs=4, max_time_seconds=60, verbose=2)\n", + " est = tpot2.TPOTClassifier(n_jobs=4, max_time_mins=60, verbose=2)\n", " est.fit(X_train, y_train)\n", "\n", "\n", @@ -909,10 +909,10 @@ " generations : int, default=50\n", " Number of generations to run\n", " \n", - " max_time_seconds : float, default=float(\"inf\")\n", + " max_time_mins : float, default=float(\"inf\")\n", " Maximum time to run the optimization. If none or inf, will run until the end of the generations.\n", " \n", - " max_eval_time_seconds : float, default=60*5\n", + " max_eval_time_mins : float, default=60*5\n", " Maximum time to evaluate a single individual. If none or inf, there will be no time limit per evaluation.\n", "\n", " n_jobs : int, default=1\n", @@ -930,7 +930,7 @@ " 3. best individual\n", " 4. warnings\n", " >=5. full warnings trace\n", - " 6. evaluations progress bar. (Temporary: This used to be 2. Currently, using evaluation progress bar may prevent some instances were we terminate a generation early due to it reaching max_time_seconds in the middle of a generation OR a pipeline failed to be terminated normally and we need to manually terminate it.)\n", + " 6. evaluations progress bar. (Temporary: This used to be 2. Currently, using evaluation progress bar may prevent some instances were we terminate a generation early due to it reaching max_time_mins in the middle of a generation OR a pipeline failed to be terminated normally and we need to manually terminate it.)\n", " \n" ] }, @@ -995,8 +995,8 @@ "\n", " classification=True,\n", "\n", - " max_eval_time_seconds=15,\n", - " max_time_seconds=30,\n", + " max_eval_time_mins=15,\n", + " max_time_mins=30,\n", " verbose=2)\n", "\n", "\n", @@ -1303,8 +1303,8 @@ "\n", " classification=True,\n", "\n", - " max_eval_time_seconds=15,\n", - " max_time_seconds=30,\n", + " max_eval_time_mins=15,\n", + " max_time_mins=30,\n", " verbose=2)\n", "\n", "\n", diff --git a/Tutorial/2_Search_Spaces.ipynb b/Tutorial/2_Search_Spaces.ipynb index 84a869af..3e975731 100644 --- a/Tutorial/2_Search_Spaces.ipynb +++ b/Tutorial/2_Search_Spaces.ipynb @@ -5228,16 +5228,16 @@ " /* fitted */\n", " background-color: var(--sklearn-color-fitted-level-3);\n", "}\n", - "
TPOTEstimator(classification=True, generations=5, max_eval_time_seconds=300,\n",
+       "
TPOTEstimator(classification=True, generations=5, max_eval_time_mins=300,\n",
        "              population_size=10, scorers=['roc_auc'], scorers_weights=[1],\n",
        "              search_space=<tpot2.search_spaces.pipelines.graph.GraphPipeline object at 0x716246e21cf0>,\n",
-       "              verbose=2)
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