Commit
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4374648
1
Parent(s):
c81bfa5
remove notebook syntax
Browse files
app.py
CHANGED
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@@ -1,4 +1,3 @@
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#%%
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import gradio as gr
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import numpy as np
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import matplotlib.pyplot as plt
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@@ -10,7 +9,6 @@ from sklearn.svm import LinearSVC
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from sklearn.inspection import DecisionBoundaryDisplay
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from sklearn.exceptions import ConvergenceWarning
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#%%
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def train_model(n_samples, C, penalty, loss, max_iter):
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if penalty == "l1" and loss == "hinge":
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@@ -182,6 +180,4 @@ with gr.Blocks(title=title) as demo:
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loss2.change(fn=fn, inputs=[n_samples, param_C2, penalty2, loss2, max_iter2], outputs=plot2)
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max_iter2.change(fn=fn, inputs=[n_samples, param_C2, penalty2, loss2, max_iter2], outputs=plot2)
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demo.launch()
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-
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# %%
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import gradio as gr
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import numpy as np
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import matplotlib.pyplot as plt
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from sklearn.inspection import DecisionBoundaryDisplay
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from sklearn.exceptions import ConvergenceWarning
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def train_model(n_samples, C, penalty, loss, max_iter):
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if penalty == "l1" and loss == "hinge":
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loss2.change(fn=fn, inputs=[n_samples, param_C2, penalty2, loss2, max_iter2], outputs=plot2)
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max_iter2.change(fn=fn, inputs=[n_samples, param_C2, penalty2, loss2, max_iter2], outputs=plot2)
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+
demo.launch()
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