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fix links to source code (in docs)
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‎.DS_Store‎

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‎ahead/.DS_Store‎

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‎docs/autogen.py‎

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@@ -38,7 +38,7 @@ def generate(dest_dir):
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doc_generator = keras_autodoc.DocumentationGenerator(
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PAGES,
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'https://github.com/Techtonique/ahead',
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'https://github.com/Techtonique/ahead_python/blob/main',
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template_dir,
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#ahead_dir / 'examples'
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)

‎docs/site/documentation/armagarch/index.html‎

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<h1 id="arma1-1-garch1-1">ARMA(1, 1)-GARCH(1, 1)</h1>
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<p><em>ARMA(1, 1)-GARCH(1, 1) model</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/ARMAGARCH/ArmaGarch.py#L46">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/ARMAGARCH/ArmaGarch.py#L46">[source]</a></span></p>
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<h3 id="armagarch">ArmaGarch</h3>
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<pre><code class="language-python">ahead.ARMAGARCH.ArmaGarch.ArmaGarch(
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h=5, level=95, B=250, cl=1, dist=&quot;student&quot;, seed=123, date_formatting=&quot;original&quot;
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forecasting simulations
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</code></pre>
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<hr />
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/ARMAGARCH/ArmaGarch.py#L135">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/ARMAGARCH/ArmaGarch.py#L135">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">ArmaGarch.forecast(df)
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</code></pre>

‎docs/site/documentation/basicforecaster/index.html‎

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<h1 id="basicforecaster">BasicForecaster</h1>
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<p><em>Basic forecasting functions for multivariate time series (mean, median, random walk)</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/Basic/BasicForecaster.py#L45">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/Basic/BasicForecaster.py#L45">[source]</a></span></p>
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<h3 id="basicforecaster_1">BasicForecaster</h3>
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<pre><code class="language-python">ahead.Basic.BasicForecaster.BasicForecaster(
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h=5, level=95, method=&quot;mean&quot;, type_pi=&quot;gaussian&quot;, B=100, date_formatting=&quot;original&quot;, seed=123
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print(r1.result_dfs_)
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</code></pre>
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<hr />
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/Basic/BasicForecaster.py#L156">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/Basic/BasicForecaster.py#L156">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">BasicForecaster.forecast(df)
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</code></pre>

‎docs/site/documentation/dynamicregressor/index.html‎

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<h1 id="dynamicregressor">DynamicRegressor</h1>
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<p><em>Dynamic Regression model adapted from R's forecast::nnetar</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/DynamicRegressor/DynamicRegressor.py#L44">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/DynamicRegressor/DynamicRegressor.py#L44">[source]</a></span></p>
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<h3 id="dynamicregressor_1">DynamicRegressor</h3>
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<pre><code class="language-python">ahead.DynamicRegressor.DynamicRegressor.DynamicRegressor(
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h=5, level=95, type_pi=&quot;E&quot;, date_formatting=&quot;original&quot;
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print(d1.result_df_)
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</code></pre>
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<hr />
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/DynamicRegressor/DynamicRegressor.py#L129">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/DynamicRegressor/DynamicRegressor.py#L129">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">DynamicRegressor.forecast(df)
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</code></pre>

‎docs/site/documentation/eat/index.html‎

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<h1 id="eat">EAT</h1>
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<p><em>EAT (ETS, auto.arima, Theta) model</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/EAT/EAT.py#L46">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/EAT/EAT.py#L46">[source]</a></span></p>
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<h3 id="eat_1">EAT</h3>
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<pre><code class="language-python">ahead.EAT.EAT.EAT(
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h=5,
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print(e1.result_df_)
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</code></pre>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/EAT/EAT.py#L144">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/EAT/EAT.py#L144">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">EAT.forecast(df)
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</code></pre>

‎docs/site/documentation/ridge2regressor/index.html‎

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<h1 id="ridge2regressor">Ridge2Regressor</h1>
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<p><em>Random Vector functional link network model with 2 regularization parameters</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/Ridge2/Ridge2Regressor.py#L45">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/Ridge2/Ridge2Regressor.py#L45">[source]</a></span></p>
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<h3 id="ridge2regressor_1">Ridge2Regressor</h3>
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<pre><code class="language-python">ahead.Ridge2.Ridge2Regressor.Ridge2Regressor(
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h=5,
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print(r1.result_dfs_)
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</code></pre>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/Ridge2/Ridge2Regressor.py#L198">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/Ridge2/Ridge2Regressor.py#L198">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">Ridge2Regressor.forecast(df)
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</code></pre>

‎docs/site/documentation/var/index.html‎

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<h1 id="var">VAR</h1>
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<p><em>Vector AutoRegressive model</em></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/VAR/VAR.py#L45">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/VAR/VAR.py#L45">[source]</a></span></p>
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<h3 id="var_1">VAR</h3>
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<pre><code class="language-python">ahead.VAR.VAR.VAR(h=5, level=95, lags=1, type_VAR=&quot;none&quot;, date_formatting=&quot;original&quot;)
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</code></pre>
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print(v1.result_dfs_)
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</code></pre>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead/ahead/VAR/VAR.py#L144">[source]</a></span></p>
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<p><span style="float:right;"><a href="https://github.com/Techtonique/ahead_python/blob/main/ahead/VAR/VAR.py#L144">[source]</a></span></p>
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<h3 id="forecast">forecast</h3>
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<pre><code class="language-python">VAR.forecast(df)
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</code></pre>

‎docs/site/index.html‎

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</html>
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MkDocs version : 1.2.3
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Build Date UTC : 2022-08-21 12:32:32.917179+00:00
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