Update my_pages/ica.py
Browse files- my_pages/ica.py +9 -3
my_pages/ica.py
CHANGED
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@@ -91,11 +91,17 @@ def render():
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# (x, y, text)
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locations = [
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(0.9, 0.1, "Random Seeds", "Random Seeds are highly arbitrary, without any convention or intentionality.", "left", "bottom"),
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(0.
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they are not needed is highly conventional, a bit arbitrary, and has very low intentionality.", "right", "bottom"),
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(0.
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conventionality to it, as a specialized model could have worked, depending on context.\
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No arbitrariness.", "right", "bottom"),
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]
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torch_radius = 0.177 # how far the "torch" illuminates
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@@ -118,5 +124,5 @@ def render():
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if len(explanations) > 0:
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text_to_show = ""
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for label, labeltext in explanations:
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text_to_show += "
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add_red_text(text_to_show)
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# (x, y, text)
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locations = [
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(0.9, 0.1, "Random Seeds", "Random Seeds are highly arbitrary, without any convention or intentionality.", "left", "bottom"),
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(0.35, 0.06, "Neural networks for Tabular Data", "Using neural networks of some arbitrary size (hidden layers) for a setting where \
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they are not needed is highly conventional, a bit arbitrary, and has very low intentionality.", "right", "bottom"),
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(0.4, 0.5, "Pre-trained LLM for a Complex Task", "Using a high performing LLM for a complex task is intentional, however, it also has \
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conventionality to it, as a specialized model could have worked, depending on context.\
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No arbitrariness.", "right", "bottom"),
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(0.5, 0.7, "Best Bias Mitigation for a Particular Setup", "Choosing the most appropriate bias mitigation technique,\
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specialized for the particular context, is highly intentional", "center", "bottom"),
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(0.7, 0.5, "Randomly chosen Regularization Technique", "Adding regularization to improve robustness, but choosing the regularization technique randomly,\
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creates a decision that is intentional and arbitrary, while avoiding conventionality.", "left", "bottom"),
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(0.1, 0.1, "ReLU Activation as Default", "Choosing ReLU activation without testing what other activations might also work,\
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is a highly conventional decision.", "right", "bottom"),
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]
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torch_radius = 0.177 # how far the "torch" illuminates
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if len(explanations) > 0:
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text_to_show = ""
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for label, labeltext in explanations:
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text_to_show += "<b>" + label + ":</b> " + labeltext + "<br>"
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add_red_text(text_to_show)
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