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Update gh-pages to output generated at acbd488
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@dennisbader
dennisbader committed Dec 10, 2023
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16 changes: 8 additions & 8 deletions README.html
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Expand Up @@ -245,7 +245,7 @@ <h1>Time Series Made Easy in Python<a class="headerlink" href="#time-series-made
<a class="reference external image-reference" href="https://badge.fury.io/py/darts"><img alt="PyPI version" src="https://badge.fury.io/py/u8darts.svg" /></a>
<a class="reference external image-reference" href="https://anaconda.org/conda-forge/u8darts-all"><img alt="Conda Version" src="https://img.shields.io/conda/vn/conda-forge/u8darts-all.svg" /></a>
<a class="reference external image-reference" href="https://img.shields.io/badge/python-3.8+-blue.svg"><img alt="Supported versions" src="https://img.shields.io/badge/python-3.8+-blue.svg" /></a>
<a class="reference external image-reference" href="https://img.shields.io/docker/v/unit8/darts?label=docker&amp;sort=date"><img alt="Docker Image Version (latest by date)" src="https://img.shields.io/docker/v/unit8/darts?label=docker&amp;sort=date" /></a>
<a class="reference external image-reference" href="https://hub.docker.com/r/unit8/darts"><img alt="Docker Image Version (latest by date)" src="https://img.shields.io/docker/v/unit8/darts?label=docker&amp;sort=date" /></a>
<a class="reference external image-reference" href="https://img.shields.io/github/release-date/unit8co/darts"><img alt="GitHub Release Date" src="https://img.shields.io/github/release-date/unit8co/darts" /></a>
<a class="reference external image-reference" href="https://img.shields.io/github/actions/workflow/status/unit8co/darts/release.yml?branch=master"><img alt="GitHub Workflow Status" src="https://img.shields.io/github/actions/workflow/status/unit8co/darts/release.yml?branch=master" /></a>
<a class="reference external image-reference" href="https://pepy.tech/project/darts"><img alt="Downloads" src="https://pepy.tech/badge/darts" /></a>
Expand Down Expand Up @@ -450,28 +450,28 @@ <h2>Forecasting Models<a class="headerlink" href="#forecasting-models" title="Pe
</tr>
<tr class="row-odd"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.baselines.html#darts.models.forecasting.baselines.NaiveMean">NaiveMean</a></p></td>
<td></td>
<td><p>🟩 🟥</p></td>
<td><p>🟩 🟩</p></td>
<td><p>🟥 🟥 🟥</p></td>
<td><p>🟥 🟥</p></td>
<td><p>🟥</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.baselines.html#darts.models.forecasting.baselines.NaiveSeasonal">NaiveSeasonal</a></p></td>
<td></td>
<td><p>🟩 🟥</p></td>
<td><p>🟩 🟩</p></td>
<td><p>🟥 🟥 🟥</p></td>
<td><p>🟥 🟥</p></td>
<td><p>🟥</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.baselines.html#darts.models.forecasting.baselines.NaiveDrift">NaiveDrift</a></p></td>
<td></td>
<td><p>🟩 🟥</p></td>
<td><p>🟩 🟩</p></td>
<td><p>🟥 🟥 🟥</p></td>
<td><p>🟥 🟥</p></td>
<td><p>🟥</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.baselines.html#darts.models.forecasting.baselines.NaiveMovingAverage">NaiveMovingAverage</a></p></td>
<td></td>
<td><p>🟩 🟥</p></td>
<td><p>🟩 🟩</p></td>
<td><p>🟥 🟥 🟥</p></td>
<td><p>🟥 🟥</p></td>
<td><p>🟥</p></td>
Expand All @@ -494,7 +494,7 @@ <h2>Forecasting Models<a class="headerlink" href="#forecasting-models" title="Pe
<td></td>
<td><p>🟥 🟩</p></td>
<td><p>🟥 🟩 🟥</p></td>
<td><p>🟥 🟥</p></td>
<td><p>🟩 🟥</p></td>
<td><p>🟥</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.auto_arima.html#darts.models.forecasting.auto_arima.AutoARIMA">AutoARIMA</a></p></td>
Expand Down Expand Up @@ -553,7 +553,7 @@ <h2>Forecasting Models<a class="headerlink" href="#forecasting-models" title="Pe
<td><p>🟩 🟥</p></td>
<td><p>🟥</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.prophet_model.html#darts.models.forecasting.prophet_model.Prophet">Prophet</a> (see <a class="reference external" href="https://github.com/unit8co/darts/blob/master/INSTALL.md#enabling-support-for-facebook-prophet">install notes</a>)</p></td>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.prophet_model.html#darts.models.forecasting.prophet_model.Prophet">Prophet</a></p></td>
<td><p><a class="reference external" href="https://github.com/facebook/prophet">Prophet repo</a></p></td>
<td><p>🟩 🟥</p></td>
<td><p>🟥 🟩 🟥</p></td>
Expand Down Expand Up @@ -609,7 +609,7 @@ <h2>Forecasting Models<a class="headerlink" href="#forecasting-models" title="Pe
<td><p>🟥 🟥</p></td>
<td><p>🟩</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.lgbm.html#darts.models.forecasting.lgbm.LightGBMModel">LightGBMModel</a>,</p></td>
<tr class="row-even"><td><p><a class="reference external" href="https://unit8co.github.io/darts/generated_api/darts.models.forecasting.lgbm.html#darts.models.forecasting.lgbm.LightGBMModel">LightGBMModel</a></p></td>
<td></td>
<td><p>🟩 🟩</p></td>
<td><p>🟩 🟩 🟩</p></td>
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2 changes: 1 addition & 1 deletion _modules/darts/dataprocessing/transformers/base_data_transformer.html
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Expand Up @@ -244,7 +244,7 @@ <h1>Source code for darts.dataprocessing.transformers.base_data_transformer</h1>
<span class="sd"> each parallel job. If `parallel_params` is a `Sequence` of fixed attribute names, only those</span>
<span class="sd"> attribute names specified will take on different values between different parallel jobs.</span>
<span class="sd"> mask_components</span>
<span class="sd"> Optionally, whether or not to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> Optionally, whether to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> `TimeSeries` inputs passed to `transform`, `fit`, `inverse_transform`, or `fit_transform`.</span>
<span class="sd"> If `True`, any specified `component_mask` will be applied to each input timeseries</span>
<span class="sd"> before passing them to the called method; the masked components will also be automatically</span>
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2 changes: 1 addition & 1 deletion _modules/darts/dataprocessing/transformers/fittable_data_transformer.html
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Expand Up @@ -223,7 +223,7 @@ <h1>Source code for darts.dataprocessing.transformers.fittable_data_transformer<
<span class="sd"> each parallel job. If `parallel_params` is a `Sequence` of fixed attribute names, only those</span>
<span class="sd"> attribute names specified will take on different values between different parallel jobs.</span>
<span class="sd"> mask_components</span>
<span class="sd"> Optionally, whether or not to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> Optionally, whether to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> `TimeSeries` inputs passed to `transform`, `fit`, `inverse_transform`, or `fit_transform`.</span>
<span class="sd"> If `True`, any specified `component_mask` will be applied to each input timeseries</span>
<span class="sd"> before passing them to the called method; the masked components will also be automatically</span>
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2 changes: 1 addition & 1 deletion _modules/darts/dataprocessing/transformers/invertible_data_transformer.html
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Expand Up @@ -232,7 +232,7 @@ <h1>Source code for darts.dataprocessing.transformers.invertible_data_transforme
<span class="sd"> each parallel job. If `parallel_params` is a `Sequence` of fixed attribute names, only those</span>
<span class="sd"> attribute names specified will take on different values between different parallel jobs.</span>
<span class="sd"> mask_components</span>
<span class="sd"> Optionally, whether or not to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> Optionally, whether to automatically apply any provided `component_mask`s to the</span>
<span class="sd"> `TimeSeries` inputs passed to `transform`, `fit`, `inverse_transform`, or `fit_transform`.</span>
<span class="sd"> If `True`, any specified `component_mask` will be applied to each input timeseries</span>
<span class="sd"> before passing them to the called method; the masked components will also be automatically</span>
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2 changes: 1 addition & 1 deletion _modules/darts/metrics/metrics.html
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Expand Up @@ -351,7 +351,7 @@ <h1>Source code for darts.metrics.metrics</h1><div class="highlight"><pre>
<span class="sd"> series_b</span>
<span class="sd"> A univariate (deterministic or stochastic) ``TimeSeries`` instance (the predicted series).</span>
<span class="sd"> intersect</span>
<span class="sd"> A boolean for whether or not to only consider the time intersection between `series_a` and `series_b`</span>
<span class="sd"> A boolean for whether to only consider the time intersection between `series_a` and `series_b`</span>
<span class="sd"> stochastic_quantile</span>
<span class="sd"> Optionally, for stochastic predicted series, return either all sample values with (`stochastic_quantile=None`)</span>
<span class="sd"> or any deterministic quantile sample values by setting `stochastic_quantile=quantile` {&gt;=0,&lt;=1}.</span>
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4 changes: 4 additions & 0 deletions _modules/darts/models/forecasting/baselines.html
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Expand Up @@ -228,6 +228,7 @@ <h1>Source code for darts.models.forecasting.baselines</h1><div class="highlight
<span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">num_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="n">show_warnings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">num_samples</span><span class="p">)</span>
<span class="n">forecast</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean_val</span><span class="p">,</span> <span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
Expand Down Expand Up @@ -292,6 +293,7 @@ <h1>Source code for darts.models.forecasting.baselines</h1><div class="highlight
<span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">num_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="n">show_warnings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">num_samples</span><span class="p">)</span>
<span class="n">forecast</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">last_k_vals</span><span class="p">[</span><span class="n">i</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">K</span><span class="p">,</span> <span class="p">:]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n</span><span class="p">)])</span>
Expand Down Expand Up @@ -341,6 +343,7 @@ <h1>Source code for darts.models.forecasting.baselines</h1><div class="highlight
<span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">num_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="n">show_warnings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">num_samples</span><span class="p">)</span>
<span class="n">first</span><span class="p">,</span> <span class="n">last</span> <span class="o">=</span> <span class="p">(</span>
Expand Down Expand Up @@ -411,6 +414,7 @@ <h1>Source code for darts.models.forecasting.baselines</h1><div class="highlight
<span class="n">n</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">num_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="n">show_warnings</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">num_samples</span><span class="p">)</span>

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