Update app.py
Browse files
app.py
CHANGED
@@ -45,25 +45,25 @@ graph.edge("โ๏ธ Model Updating", "๐ Model Training")
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# Add the swim lanes
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with graph.subgraph(name="cluster_0") as c:
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c.attr(rank="
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c.attr(label=SWIM_LANES["Data Pipelines"])
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c.edge("๐ Data Collection", "๐งน Data Cleaning", style="invis")
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c.edge("๐งน Data Cleaning", "๐ง Data Transformation", style="invis")
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with graph.subgraph(name="cluster_1") as c:
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c.attr(rank="
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c.attr(label=SWIM_LANES["Build and Train Models"])
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c.edge("๐ Feature Engineering", "โ๏ธ Model Selection", style="invis")
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c.edge("โ๏ธ Model Selection", "๐ Model Training", style="invis")
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with graph.subgraph(name="cluster_2") as c:
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c.attr(rank="
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c.attr(label=SWIM_LANES["Deploy and Predict"])
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c.edge("๐ข Model Deployment", "๐ก Model Serving", style="invis")
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c.edge("๐ก Model Serving", "๐ฎ Predictions", style="invis")
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with graph.subgraph(name="cluster_3") as c:
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c.attr(rank="
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c.attr(label="Reinforcement Learning Human Feedback")
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c.edge("๐ฎ Predictions", "๐ Feedback Collection", style="invis")
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c.edge("๐ Feedback Collection", "๐ค Feedback Processing", style="invis")
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# Add the swim lanes
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with graph.subgraph(name="cluster_0") as c:
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c.attr(rank="1")
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c.attr(label=SWIM_LANES["Data Pipelines"])
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c.edge("๐ Data Collection", "๐งน Data Cleaning", style="invis")
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c.edge("๐งน Data Cleaning", "๐ง Data Transformation", style="invis")
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with graph.subgraph(name="cluster_1") as c:
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c.attr(rank="2")
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c.attr(label=SWIM_LANES["Build and Train Models"])
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c.edge("๐ Feature Engineering", "โ๏ธ Model Selection", style="invis")
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c.edge("โ๏ธ Model Selection", "๐ Model Training", style="invis")
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with graph.subgraph(name="cluster_2") as c:
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c.attr(rank="3")
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c.attr(label=SWIM_LANES["Deploy and Predict"])
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c.edge("๐ข Model Deployment", "๐ก Model Serving", style="invis")
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c.edge("๐ก Model Serving", "๐ฎ Predictions", style="invis")
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with graph.subgraph(name="cluster_3") as c:
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c.attr(rank="4")
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c.attr(label="Reinforcement Learning Human Feedback")
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c.edge("๐ฎ Predictions", "๐ Feedback Collection", style="invis")
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c.edge("๐ Feedback Collection", "๐ค Feedback Processing", style="invis")
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