From 66b820356951458c5467a61dbaf5c7bb0c686999 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Morales?= Date: Tue, 23 Jul 2024 16:00:17 -0600 Subject: [PATCH] update usage of plot_series and evaluate in docs (#389) --- .../end_to_end_walkthrough.ipynb | 4 +- nbs/docs/how-to-guides/cross_validation.ipynb | 25 ++-- nbs/figs/cross_validation__predictions.png | Bin 120689 -> 122021 bytes nbs/figs/cross_validation__series.png | Bin 216914 -> 181507 bytes nbs/figs/end_to_end_walkthrough__cv.png | Bin 255299 -> 232203 bytes .../end_to_end_walkthrough__differences.png | Bin 202766 -> 155919 bytes nbs/figs/end_to_end_walkthrough__eda.png | Bin 226084 -> 188673 bytes ...end_to_end_walkthrough__final_forecast.png | Bin 239955 -> 209158 bytes nbs/figs/end_to_end_walkthrough__lgbcv.png | Bin 263816 -> 233052 bytes .../end_to_end_walkthrough__predictions.png | Bin 225737 -> 192763 bytes nbs/figs/forecast__cross_validation.png | Bin 256572 -> 185703 bytes .../forecast__cross_validation_intervals.png | Bin 289079 -> 220074 bytes nbs/figs/forecast__ercot.png | Bin 74478 -> 66873 bytes nbs/figs/forecast__predict.png | Bin 162936 -> 142298 bytes nbs/figs/forecast__predict_intervals.png | Bin 242661 -> 219608 bytes ...ecast__predict_intervals_window_size_1.png | Bin 192650 -> 172678 bytes nbs/forecast.ipynb | 111 ++++++++++-------- 17 files changed, 73 insertions(+), 67 deletions(-) diff --git a/nbs/docs/getting-started/end_to_end_walkthrough.ipynb b/nbs/docs/getting-started/end_to_end_walkthrough.ipynb index 71761160..b284f0aa 100644 --- a/nbs/docs/getting-started/end_to_end_walkthrough.ipynb +++ b/nbs/docs/getting-started/end_to_end_walkthrough.ipynb @@ -2133,7 +2133,7 @@ "metadata": {}, "outputs": [], "source": [ - "fig = plot_series(cv_result, cv_result.drop(columns='cutoff'), max_insample_length=0)" + "fig = plot_series(forecasts_df=cv_result.drop(columns='cutoff'))" ] }, { @@ -2577,7 +2577,7 @@ "metadata": {}, "outputs": [], "source": [ - "fig = plot_series(cv.cv_preds_, cv.cv_preds_.drop(columns='window'), max_insample_length=0)" + "fig = plot_series(forecasts_df=cv.cv_preds_.drop(columns='window'))" ] }, { diff --git a/nbs/docs/how-to-guides/cross_validation.ipynb b/nbs/docs/how-to-guides/cross_validation.ipynb index 43710bc5..eaf34970 100644 --- a/nbs/docs/how-to-guides/cross_validation.ipynb +++ b/nbs/docs/how-to-guides/cross_validation.ipynb @@ -312,7 +312,7 @@ "metadata": {}, "outputs": [], "source": [ - "crossvalidation_df = mlf.cross_validation(\n", + "cv_df = mlf.cross_validation(\n", " df=Y_df,\n", " h=24,\n", " n_windows=3,\n", @@ -425,7 +425,7 @@ } ], "source": [ - "crossvalidation_df.head()" + "cv_df.head()" ] }, { @@ -466,7 +466,7 @@ "metadata": {}, "outputs": [], "source": [ - "plot_cv(Y_df, crossvalidation_df, 'H1', '../../figs/cross_validation__predictions.png')" + "plot_cv(Y_df, cv_df, 'H1', '../../figs/cross_validation__predictions.png')" ] }, { @@ -503,16 +503,10 @@ "metadata": {}, "outputs": [], "source": [ + "from utilsforecast.evaluation import evaluate\n", "from utilsforecast.losses import rmse " ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll compute the `rmse` per time series and cutoff. To do this we'll concatenate the id and the cutoff columns, then we will take the mean of the results." - ] - }, { "cell_type": "code", "execution_count": null, @@ -522,14 +516,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "RMSE using cross-validation: 249.90517171185527\n" + "RMSE using cross-validation: 269.0\n" ] } ], "source": [ - "crossvalidation_df['id_cutoff'] = crossvalidation_df['unique_id'] + '_' + crossvalidation_df['cutoff'].astype(str)\n", - "cv_rmse = rmse(crossvalidation_df, models=['LGBMRegressor'], id_col='id_cutoff')['LGBMRegressor'].mean()\n", - "print(\"RMSE using cross-validation: \", cv_rmse)" + "cv_rmse = evaluate(\n", + " cv_df.drop(columns='cutoff'),\n", + " metrics=[rmse],\n", + " agg_fn='mean',\n", + ")\n", + "print(f\"RMSE using cross-validation: {cv_rmse['LGBMRegressor'].item():.1f}\")" ] }, { diff --git a/nbs/figs/cross_validation__predictions.png b/nbs/figs/cross_validation__predictions.png index 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