diff --git a/notebook/automl_time_series_forecast.ipynb b/notebook/automl_time_series_forecast.ipynb index 0be0d6a07e..d081ee201e 100644 --- a/notebook/automl_time_series_forecast.ipynb +++ b/notebook/automl_time_series_forecast.ipynb @@ -2064,17 +2064,21 @@ "outputs": [], "source": [ "from hcrystalball.utils import get_sales_data\n", + "import numpy as np\n", "time_horizon = 30\n", "df = get_sales_data(n_dates=180, n_assortments=1, n_states=1, n_stores=1)\n", "df = df[[\"Sales\", \"Open\", \"Promo\", \"Promo2\"]]\n", - "# feature engineering - create a discrete value column\n", - "# 1 denotes above mean and 0 denotes below mean\n", - "import numpy as np\n", - "df[\"above_mean_sales\"] = np.where(df[\"Sales\"] > df[\"Sales\"].mean(), 1, 0)\n", "df.reset_index(inplace=True)\n", - "# train-test split\n", - "discrete_train_df = df[:-time_horizon]\n", - "discrete_test_df = df[-time_horizon:]\n", + "# train-test split first, so the label threshold below is computed from\n", + "# the training period only\n", + "discrete_train_df = df[:-time_horizon].copy()\n", + "discrete_test_df = df[-time_horizon:].copy()\n", + "# feature engineering - create a discrete value column\n", + "# 1 denotes above mean and 0 denotes below mean, thresholded on the\n", + "# training period's mean only, so no test-period sales leak into the threshold\n", + "train_mean_sales = discrete_train_df[\"Sales\"].mean()\n", + "discrete_train_df[\"above_mean_sales\"] = np.where(discrete_train_df[\"Sales\"] > train_mean_sales, 1, 0)\n", + "discrete_test_df[\"above_mean_sales\"] = np.where(discrete_test_df[\"Sales\"] > train_mean_sales, 1, 0)\n", "discrete_X_train, discrete_X_test = (\n", " discrete_train_df[[\"Date\", \"Open\", \"Promo\", \"Promo2\"]],\n", " discrete_test_df[[\"Date\", \"Open\", \"Promo\", \"Promo2\"]],\n", @@ -2084,165 +2088,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateSalesOpenPromoPromo2above_mean_sales
02015-02-0224894TrueTrueFalse1
12015-02-0322139TrueTrueFalse1
22015-02-0420452TrueTrueFalse1
32015-02-0520977TrueTrueFalse1
42015-02-0619151TrueTrueFalse1
.....................
1452015-06-2713108TrueFalseFalse0
1462015-06-280FalseFalseFalse0
1472015-06-2928456TrueTrueFalse1
1482015-06-3027140TrueTrueFalse1
1492015-07-0124957TrueTrueFalse1
\n", - "

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" - ], - "text/plain": [ - " Date Sales Open Promo Promo2 above_mean_sales\n", - "0 2015-02-02 24894 True True False 1\n", - "1 2015-02-03 22139 True True False 1\n", - "2 2015-02-04 20452 True True False 1\n", - "3 2015-02-05 20977 True True False 1\n", - "4 2015-02-06 19151 True True False 1\n", - ".. ... ... ... ... ... ...\n", - "145 2015-06-27 13108 True False False 0\n", - "146 2015-06-28 0 False False False 0\n", - "147 2015-06-29 28456 True True False 1\n", - "148 2015-06-30 27140 True True False 1\n", - "149 2015-07-01 24957 True True False 1\n", - "\n", - "[150 rows x 6 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "discrete_train_df" ] @@ -2281,1734 +2129,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[flaml.automl: 11-07 01:56:17] {2600} INFO - task = ts_forecast_classification\n", - "[flaml.automl: 11-07 01:56:17] {2602} INFO - Data split method: time\n", - "[flaml.automl: 11-07 01:56:17] {2605} INFO - Evaluation method: holdout\n", - "[flaml.automl: 11-07 01:56:17] {2727} INFO - Minimizing error metric: 1-accuracy\n", - "[flaml.automl: 11-07 01:56:17] {2869} INFO - List of ML learners in AutoML Run: ['lgbm', 'rf', 'xgboost', 'extra_tree', 'xgb_limitdepth']\n", - "[flaml.automl: 11-07 01:56:17] {3164} INFO - iteration 0, current learner lgbm\n", - "[flaml.automl: 11-07 01:56:17] {3297} INFO - Estimated sufficient time budget=76s. 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" max_bin=256, max_cat_threshold=64, max_cat_to_onehot=4,\n", - " max_delta_step=0, max_depth=0, max_leaves=4,\n", - " min_child_weight=0.24154961266982103, missing=nan,\n", - " monotone_constraints='()', n_estimators=5, n_jobs=-1,\n", - " num_parallel_tree=1, objective='binary:logistic',\n", - " predictor='auto', ...)\n", - "[flaml.automl: 11-07 01:56:32] {2900} INFO - fit succeeded\n", - "[flaml.automl: 11-07 01:56:32] {2901} INFO - Time taken to find the best model: 13.628411293029785\n", - "[flaml.automl: 11-07 01:56:32] {2912} WARNING - Time taken to find the best model is 91% of the provided time budget and not all estimators' hyperparameter search converged. Consider increasing the time budget.\n" - ] - } - ], + "outputs": [], "source": [ "\"\"\"The main flaml automl API\"\"\"\n", "automl.fit(X_train=discrete_X_train,\n", @@ -4026,32 +2149,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best ML leaner: xgboost\n", - "Best hyperparmeter config: {'n_estimators': 5, 'max_leaves': 4, 'min_child_weight': 0.24154961266982103, 'learning_rate': 0.47977588153251416, 'subsample': 0.9582292262719722, 'colsample_bylevel': 0.8487386958719925, 'colsample_bytree': 1.0, 'reg_alpha': 0.02723388128976539, 'reg_lambda': 0.0779137867635275, 'optimize_for_horizon': False, 'lags': 7}\n", - "Best mape on validation data: 0.0\n", - "Training duration of best run: 0.005982637405395508s\n", - "XGBClassifier(base_score=0.5, booster='gbtree', callbacks=None,\n", - " colsample_bylevel=0.8487386958719925, colsample_bynode=1,\n", - " colsample_bytree=1.0, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=0, gpu_id=-1, grow_policy='lossguide', importance_type=None,\n", - " interaction_constraints='', learning_rate=0.47977588153251416,\n", - " max_bin=256, max_cat_threshold=64, max_cat_to_onehot=4,\n", - " max_delta_step=0, max_depth=0, max_leaves=4,\n", - " min_child_weight=0.24154961266982103, missing=nan,\n", - " monotone_constraints='()', n_estimators=5, n_jobs=-1,\n", - " num_parallel_tree=1, objective='binary:logistic',\n", - " predictor='auto', ...)\n" - ] - } - ], + "outputs": [], "source": [ "\"\"\" retrieve best config and best learner\"\"\"\n", "print(\"Best ML leaner:\", automl.best_estimator)\n", @@ -4063,48 +2163,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Predicted label [1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1]\n", - "True label 150 1\n", - "151 1\n", - "152 0\n", - "153 0\n", - "154 1\n", - "155 1\n", - "156 1\n", - "157 1\n", - "158 1\n", - "159 0\n", - "160 0\n", - "161 1\n", - "162 1\n", - "163 1\n", - "164 1\n", - "165 1\n", - "166 0\n", - "167 0\n", - "168 1\n", - "169 1\n", - "170 1\n", - "171 1\n", - "172 1\n", - "173 0\n", - "174 0\n", - "175 1\n", - "176 1\n", - "177 1\n", - "178 1\n", - "179 1\n", - "Name: above_mean_sales, dtype: int64\n" - ] - } - ], + "outputs": [], "source": [ "\"\"\" compute predictions of testing dataset \"\"\"\n", "discrete_y_pred = automl.predict(discrete_X_test)\n", @@ -4114,17 +2175,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "accuracy = 1.0\n" - ] - } - ], + "outputs": [], "source": [ "from flaml.ml import sklearn_metric_loss_score\n", "print(\"accuracy\", \"=\", 1 - sklearn_metric_loss_score(\"accuracy\", discrete_y_test, discrete_y_pred))" diff --git a/website/docs/Examples/AutoML-Time series forecast.md b/website/docs/Examples/AutoML-Time series forecast.md index 8b551f4d11..e5235fe1c2 100644 --- a/website/docs/Examples/AutoML-Time series forecast.md +++ b/website/docs/Examples/AutoML-Time series forecast.md @@ -582,15 +582,23 @@ from flaml import AutoML time_horizon = 30 df = get_sales_data(n_dates=180, n_assortments=1, n_states=1, n_stores=1) df = df[["Sales", "Open", "Promo", "Promo2"]] - -# feature engineering - create a discrete value column -# 1 denotes above mean and 0 denotes below mean -df["above_mean_sales"] = np.where(df["Sales"] > df["Sales"].mean(), 1, 0) df.reset_index(inplace=True) -# train-test split -discrete_train_df = df[:-time_horizon] -discrete_test_df = df[-time_horizon:] +# train-test split first, so the label threshold below is computed from +# the training period only +discrete_train_df = df[:-time_horizon].copy() +discrete_test_df = df[-time_horizon:].copy() + +# feature engineering - create a discrete value column +# 1 denotes above mean and 0 denotes below mean, thresholded on the +# training period's mean only, so no test-period sales leak into the threshold +train_mean_sales = discrete_train_df["Sales"].mean() +discrete_train_df["above_mean_sales"] = np.where( + discrete_train_df["Sales"] > train_mean_sales, 1, 0 +) +discrete_test_df["above_mean_sales"] = np.where( + discrete_test_df["Sales"] > train_mean_sales, 1, 0 +) discrete_X_train, discrete_X_test = ( discrete_train_df[["Date", "Open", "Promo", "Promo2"]], discrete_test_df[["Date", "Open", "Promo", "Promo2"]],