diff --git a/docs/examples/electricity.ipynb b/docs/examples/electricity.ipynb index 076f4a6..f2b54aa 100644 --- a/docs/examples/electricity.ipynb +++ b/docs/examples/electricity.ipynb @@ -76,7 +76,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -1183,7 +1183,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "id": "cc9c3c39", "metadata": {}, "outputs": [], @@ -1251,7 +1251,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "id": "33119450", "metadata": {}, "outputs": [ @@ -1268,10 +1268,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1319,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "id": "8fa1e51b", "metadata": {}, "outputs": [ @@ -1373,7 +1373,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "id": "3b49fb78", "metadata": {}, "outputs": [ @@ -1416,22 +1416,16 @@ }, { "cell_type": "markdown", - "id": "95187033", + "id": "d1ab34ad-2c71-4083-9566-410413f51230", "metadata": {}, "source": [ - "How should we incorporate our `season_embedder` neural-network into a state-space model? There are at least two options:\n", - "\n", - "#### Option 1\n", - "\n", - "The first option is to create our fourier-features on the dataframe, and pass these as features into a dataloader.\n", - "\n", - "1. First, we create our time-series model:" + "How should we incorporate our `season_embedder` neural-network into a state-space model? First, we create our time-series model:" ] }, { "cell_type": "code", - "execution_count": 28, - "id": "fd7ca2f5", + "execution_count": 29, + "id": "b68d8b86-04fe-4613-8d11-a80ae1d43f3c", "metadata": {}, "outputs": [], "source": [ @@ -1449,15 +1443,17 @@ }, { "cell_type": "markdown", - "id": "caf84e63", + "id": "141cd31c-fb28-4a35-9761-e40b5a7dd262", "metadata": {}, "source": [ - "2. Next, we add our season features to the dataframe, and create a dataloader, passing these feature-names to the `X_colnames` argument:" + "Then, we have two options:\n", + "\n", + "1. The first option is to create our fourier-features on the dataframe, and pass these as features into a dataloader." ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "id": "f3244f64", "metadata": {}, "outputs": [], @@ -1483,23 +1479,12 @@ "id": "fda8243f", "metadata": {}, "source": [ - "Finally, we train the model, either rolling our own training loop...\n", - "\n", - "```python\n", - "for i in range(num_epochs):\n", - " for batch in dataloader_kf_nn:\n", - " batch = batch.to(DEVICE)\n", - " y, X = batch.tensors\n", - " predictions = kf_nn(y, X=X, start_offsets=batch.start_offsets)\n", - " # use predictions.log_prob on optimizer, etc.\n", - "```\n", - "\n", - "...or, even better, using a tool like Pytorch Lightning. Torchcast also includes a simple tool for this, the `StateSpaceTrainer`:" + "...then we'd train our model with a tool like Pytorch Lightning. Torchcast also includes a simple tool for this, the `StateSpaceTrainer`:" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "id": "39eff5f3", "metadata": {}, "outputs": [], @@ -1522,21 +1507,19 @@ "id": "4ab296fc", "metadata": {}, "source": [ - "#### Option 2\n", - "\n", - "An even simpler (though less general) option is just to leverage the util methods in the `SeasonalEmbeddingsTrainer`, which handles converting a `TimeSeriesDataset` into a tensor of fourier terms:" + "2. An even simpler (though less general) option is just to leverage the util methods in the `SeasonalEmbeddingsTrainer`, which handles converting a `TimeSeriesDataset` into a tensor of fourier terms:" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "id": "a7d0abfa", "metadata": {}, "outputs": [], "source": [ "def dataset_to_kwargs(batch: TimeSeriesDataset) -> dict:\n", " seasonX = season_trainer.times_to_model_mat(batch.times()).to(dtype=torch.float, device=DEVICE)\n", - " return {'X' : season_trainer.module.season_nn(seasonX)}\n", + " return {'X' : season_trainer.module(seasonX)}\n", "\n", "ss_trainer = StateSpaceTrainer(\n", " module=kf_nn,\n", @@ -1550,12 +1533,12 @@ "id": "535db134", "metadata": {}, "source": [ - "Then we don't need to use `add_season_features` when creating our data-loader, since `times_to_model_mat` will create them per-batch as needed (which will be much easier on our GPU's memory):" + "Then we don't need to use `add_season_features` when creating our data-loader, since `season_trainer.times_to_model_mat` will create them per-batch as needed (which will be much easier on our GPU's memory):" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "id": "160ecea4", "metadata": {}, "outputs": [], @@ -1587,14 +1570,14 @@ "state-space models are much slower to train _per_ epoch). So it's much more efficient to pre-train the network first. Then it's up to\n", "us whether we want to continue training the network, or just freeze its weights (i.e. exclude it from the optimizer) and just train the\n", "state-space models' parameters. Here we're freezing them by not assigning the network as an attribute (so that the parameters don't get\n", - "passed to when we run ``torch.optim.Adam(kf_nn.parameters(), lr=.05)``.\n", + "passed to when we run ``torch.optim.Adam(kf_nn.parameters(), lr=.05)``).\n", "\n", "" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "id": "51fdb529", "metadata": {}, "outputs": [ @@ -1631,30 +1614,22 @@ }, { "cell_type": "markdown", - "id": "0cec0bcd", + "id": "0cc5d6fe-fe0c-4c54-9a40-7c02faacf24a", "metadata": {}, "source": [ - "### Evaluation" - ] - }, - { - "cell_type": "markdown", - "id": "a36e1ec8", - "metadata": {}, - "source": [ - "#### Generating Torchcast Forecasts for all groups" + "Now we'll create forecasts for all the groups, and back-transform them, for plotting and evaluation." ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "id": "7e38a631", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "63f339d3e3794508a185cce848abdc26", + "model_id": "19c334095df54e6d8157b2c31a4b998e", "version_major": 2, "version_minor": 0 }, @@ -1853,7 +1828,7 @@ "[9548098 rows x 8 columns]" ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1873,8 +1848,6 @@ "\n", " df_all_preds = []\n", " for batch in tqdm(dataloader_all):\n", - " # if example_group not in batch.group_names:\n", - " # continue\n", " batch = batch.to(DEVICE)\n", " seasonX = season_trainer.times_to_model_mat(batch.times()).to(dtype=torch.float, device=DEVICE)\n", " pred = kf_nn(batch.tensors[0], X=season_trainer.module(seasonX), start_offsets=batch.start_offsets)\n", @@ -1889,7 +1862,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "id": "6907f9bb", "metadata": {}, "outputs": [ @@ -1910,6 +1883,22 @@ "plot_2x2(df_all_preds.query(\"group==@example_group\"), actual_colname='kW', split_dt=SPLIT_DT)" ] }, + { + "cell_type": "markdown", + "id": "2c3bc7dd-f0c8-453a-8310-2c7c182087b5", + "metadata": {}, + "source": [ + "Success! If our example group is representative, our forecasting model was able to use the embeddings to capture complex seasonal structure." + ] + }, + { + "cell_type": "markdown", + "id": "0cec0bcd", + "metadata": {}, + "source": [ + "### Evaluation" + ] + }, { "cell_type": "markdown", "id": "2ab8a44f", @@ -1917,7 +1906,7 @@ "source": [ "#### A Simple Baseline\n", "\n", - "We've see that, for this dataset, generating forecasts that are *sane* is an already an achievement.\n", + "We've see that, for this dataset, generating forecasts that are *sane* is already an achievement.\n", "\n", "But of course, ideally we'd actually have some kind of a quantitative measure of how good our forecasts are.\n", "\n", @@ -1926,7 +1915,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 38, "id": "67852453", "metadata": {}, "outputs": [ @@ -1981,7 +1970,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 39, "id": "34f7097c-b5ef-4384-bfc5-b0b7b61c1396", "metadata": {}, "outputs": [ @@ -2161,7 +2150,7 @@ "[19096196 rows x 7 columns]" ] }, - "execution_count": 101, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2170,8 +2159,6 @@ "df_compare = (df_all_preds[['group', 'mean', 'time', 'kW', 'dataset']]\n", " .rename(columns={'mean' : 'torchcast'})\n", " .merge(df_baseline365, how='left'))\n", - "assert (df_compare['baseline'].notnull() | (df_compare['dataset'] == 'train')).all()\n", - "assert df_compare['torchcast'].notnull().all()\n", "\n", "df_compare_long = df_compare.melt(\n", " id_vars=['group', 'time', 'kW', 'dataset'], \n", @@ -2195,23 +2182,23 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 40, "id": "724fcadb-b243-4ea1-9666-3ac99f6e7b9a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 102, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -2227,7 +2214,9 @@ " .groupby(['date', 'model'])\n", " ['error'].mean()\n", " .reset_index())\n", - "df_compare_per_date.pivot(index='date', columns='model', values='error').plot(ylim=(0, 300))" + "(df_compare_per_date\n", + " .pivot(index='date', columns='model', values='error')\n", + " .plot(ylim=(0, 300), ylabel=\"Abs(Error)\", title=\"Torchcast vs. Baseline: Error over Time\"))" ] }, { @@ -2245,28 +2234,18 @@ "source": [ "**By Group**\n", "\n", - "Now let's compare over the whole validation period, focusing on _percent_ error (relative to that group's average) so that we can weight small and large groups equally." + "Now let's compare over the whole test period, focusing on _percent_ error (relative to that group's average) so that we can weight small and large groups equally." ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 41, "id": "8cdac807", "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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" ] @@ -2276,6 +2255,8 @@ } ], "source": [ + "from matplotlib.ticker import PercentFormatter\n", + "\n", "df_compare_per_group = (df_compare_long\n", " .groupby(['group', 'dataset', 'model'])\n", " [['error', 'kW']].mean()\n", @@ -2285,7 +2266,13 @@ "compare_per_group_agg = (df_compare_per_group\n", " .groupby(['dataset', 'model'])\n", " .agg(prop_error=('prop_error', 'mean'), sem=('prop_error', 'sem')))\n", - "compare_per_group_agg.loc['test']['prop_error'].plot(kind='bar', yerr=compare_per_group_agg.loc['test']['sem'])" + "\n", + "(compare_per_group_agg.loc['test']['prop_error']\n", + " .plot(kind='bar', \n", + " yerr=compare_per_group_agg.loc['test']['sem'], \n", + " ylabel='Percent Error', \n", + " title=\"Torchcast vs. Baseline: % Error in Test Set\")\n", + " .yaxis.set_major_formatter(PercentFormatter(xmax=1)))" ] }, { diff --git a/docs/examples/electricity/.gitkeep b/docs/examples/electricity/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/docs/examples/electricity/es_MT_358.pt b/docs/examples/electricity/es_MT_358.pt deleted file mode 100644 index 2b6d27a..0000000 Binary files a/docs/examples/electricity/es_MT_358.pt and /dev/null differ diff --git a/docs/examples/electricity/es_MT_358_2.pt b/docs/examples/electricity/es_MT_358_2.pt deleted file mode 100644 index c85386e..0000000 Binary files a/docs/examples/electricity/es_MT_358_2.pt and /dev/null differ diff --git a/torchcast/__init__.py b/torchcast/__init__.py index a987347..908c0bb 100644 --- a/torchcast/__init__.py +++ b/torchcast/__init__.py @@ -1 +1 @@ -__version__ = '0.4.2' +__version__ = '0.4.3'