Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ from sklearn import linear_model
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from sklearn.svm import l1_min_c
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def train_it(solver, intersect_scaling, tol, max_iter
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iris = datasets.load_iris()
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X = iris.data
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y = iris.target
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@@ -26,7 +26,7 @@ def train_it(solver, intersect_scaling, tol, max_iter,warm_start):
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solver=solver,
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tol=tol,
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max_iter=int(max_iter),
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warm_start=
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intercept_scaling=intersect_scaling,
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)
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@@ -62,9 +62,6 @@ with gr.Blocks() as demo:
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solver = gr.Dropdown(
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["liblinear", "saga"], label="Solver", value="liblinear"
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)
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warm_start = gr.Dropdown(
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["True", "False"], label="Warm Start", value="True"
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)
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with gr.Column(align="center"):
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intersect_scaling = gr.Slider(
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value=10000.0,
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@@ -86,7 +83,7 @@ with gr.Blocks() as demo:
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train_buttion = gr.Button(label="Train")
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train_buttion.click(
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train_it, inputs=[solver, intersect_scaling, tol, max_iter
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)
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from sklearn.svm import l1_min_c
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def train_it(solver, intersect_scaling, tol, max_iter):
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iris = datasets.load_iris()
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X = iris.data
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y = iris.target
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solver=solver,
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tol=tol,
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max_iter=int(max_iter),
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warm_start=True,
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intercept_scaling=intersect_scaling,
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)
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solver = gr.Dropdown(
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["liblinear", "saga"], label="Solver", value="liblinear"
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)
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with gr.Column(align="center"):
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intersect_scaling = gr.Slider(
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value=10000.0,
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train_buttion = gr.Button(label="Train")
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train_buttion.click(
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train_it, inputs=[solver, intersect_scaling, tol, max_iter], outputs=gr.Plot()
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)
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