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README.md

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@@ -106,10 +106,10 @@ mmm = MMM(
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Initiate fitting and get insightful plots and summaries. For example, we can plot the components contributions:
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```python
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X = data.drop("y",axis=1)
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X = data.drop("y", axis=1)
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y = data["y"]
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mmm.fit(X,y)
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mmm.plot_components_contributions();
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mmm.fit(X, y)
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mmm.plot_components_contributions()
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```
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![](docs/source/_static/mmm_plot_components_contributions.png)
@@ -209,7 +209,7 @@ existing_products = ["competitor", "own"]
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# Create MVITS model
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mvits = MVITS(
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existing_sales=existing_products,
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saturated_market=True # Set False for unsaturated markets
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saturated_market=True, # Set False for unsaturated markets
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)
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# Fit model

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