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Honjo/revision 2 #1

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f3b0c93
最大値と最小値を入れる
Jun 25, 2026
569bf28
微修正
Jun 26, 2026
23d3d6e
フォーマットを修正
Jun 28, 2026
085eacd
効率の予測を載せないように修正
Jul 2, 2026
e9aa9ec
make format
Jul 2, 2026
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12 changes: 7 additions & 5 deletions EMFieldML/Visualize/Prediction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -264,14 +264,16 @@ def mu_star_efficiency(
):
"""Calculate mu_star for efficiency prediction."""
k_star = rbf_kernel(X_train, X_test, lengthscale, scale)
k_star_star = rbf_kernel(X_test, X_test, lengthscale, scale) + noise * np.eye(
len(X_test)
)
mu_star = calculate_mu_star(X_test, k_star, K_inv_Y_train, mean_constant) ** (
config.prepocessing_value_efficiency
)
var_star = (k_star_star - k_star.T @ K_inv @ k_star) ** (1 / 2)
return mu_star, var_star

if mu_star[0][0] < 0.0:
mu_star[0][0] = 0.0
elif mu_star[0][0] > 1.0:
mu_star[0][0] = 1.0

return mu_star


def vector(
Expand Down
10 changes: 4 additions & 6 deletions EMFieldML/Visualize/Visualize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -106,8 +106,7 @@ def render_controls(self) -> dict[str, bool]:

# Display efficiency
psim.TextUnformatted(
f"Efficiency : {self.visualizer.efficiency[0][0]*config.convert_efficiency:.3f} ± "
f"{abs(self.visualizer.var_efficiency[0][0])*config.convert_efficiency:.3f} %",
f"Efficiency : {self.visualizer.efficiency[0][0]*config.convert_efficiency:.3f} % "
)
psim.Separator()

Expand Down Expand Up @@ -295,7 +294,6 @@ def _init_ml_params(self):
self.values = None
self.db_values = None
self.efficiency = None
self.var_efficiency = None
self.magnetic_vector = None

# Training data and models
Expand Down Expand Up @@ -1161,7 +1159,7 @@ def _run_initial_predictions(self):
)[0]

# Predict efficiency
self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
(self.efficiency) = Prediction.mu_star_efficiency(
self.X_train_efficiency,
self.X_test,
self.K_inv_Y_train_efficiency,
Expand Down Expand Up @@ -1430,7 +1428,7 @@ def update_values_for_move(self):
).reshape(-1)
self.dBvalues = Visualize.convert_to_db(self.values)

self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
self.efficiency = Prediction.mu_star_efficiency(
self.X_train_efficiency,
self.X_test,
self.K_inv_Y_train_efficiency,
Expand Down Expand Up @@ -1559,7 +1557,7 @@ def update_values_for_shape(
self.mean_constant_mag,
).reshape(-1)
self.dBvalues = Visualize.convert_to_db(self.values)
self.efficiency, self.var_efficiency = Prediction.mu_star_efficiency(
self.efficiency = Prediction.mu_star_efficiency(
self.X_train_efficiency,
self.X_test,
self.K_inv_Y_train_efficiency,
Expand Down
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