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- from warnings import simplefilter
- import wandb
- # ignore all future warnings
- simplefilter(action="ignore", category=FutureWarning)
- def decision_boundaries(
- decision_boundary_x,
- decision_boundary_y,
- decision_boundary_color,
- train_x,
- train_y,
- train_color,
- test_x,
- test_y,
- test_color,
- ):
- x_dict, y_dict, color_dict = [], [], []
- for i in range(min(len(decision_boundary_x), 100)):
- x_dict.append(decision_boundary_x[i])
- y_dict.append(decision_boundary_y[i])
- color_dict.append(decision_boundary_color)
- for i in range(300):
- x_dict.append(test_x[i])
- y_dict.append(test_y[i])
- color_dict.append(test_color[i])
- for i in range(min(len(train_x), 600)):
- x_dict.append(train_x[i])
- y_dict.append(train_y[i])
- color_dict.append(train_color[i])
- return wandb.visualize(
- "wandb/decision_boundaries/v1",
- wandb.Table(
- columns=["x", "y", "color"],
- data=[[x_dict[i], y_dict[i], color_dict[i]] for i in range(len(x_dict))],
- ),
- )
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