|
50 | 50 | ) |
51 | 51 | pcovr.fit(X_scaled, y_scaled) |
52 | 52 | T = pcovr.transform(X_scaled) |
53 | | -yp = y_scaler.inverse_transform(pcovr.predict(X_scaled)) |
| 53 | +yp = y_scaler.inverse_transform(pcovr.predict(X_scaled).reshape(-1, 1)) |
54 | 54 |
|
55 | 55 | fig, ((axT, axy), (caxT, caxy)) = plt.subplots( |
56 | 56 | 2, 2, figsize=(8, 5), gridspec_kw=dict(height_ratios=(1, 0.1)) |
|
90 | 90 | ) |
91 | 91 | pcovr.fit(X_scaled, y_scaled) |
92 | 92 | T = pcovr.transform(X_scaled) |
93 | | - yp = y_scaler.inverse_transform(pcovr.predict(X_scaled)) |
| 93 | + yp = y_scaler.inverse_transform(pcovr.predict(X_scaled).reshape(-1, 1)) |
94 | 94 |
|
95 | 95 | axes[0, i].scatter( |
96 | 96 | T[:, 0], T[:, 1], s=50, alpha=0.8, c=y, cmap=cmapX, edgecolor="k" |
|
136 | 136 | ) |
137 | 137 | kpcovr.fit(X_scaled, y_scaled) |
138 | 138 | T = kpcovr.transform(X_scaled) |
139 | | -yp = y_scaler.inverse_transform(kpcovr.predict(X_scaled)) |
| 139 | +yp = y_scaler.inverse_transform(kpcovr.predict(X_scaled).reshape(-1, 1)) |
140 | 140 |
|
141 | 141 | fig, ((axT, axy), (caxT, caxy)) = plt.subplots( |
142 | 142 | 2, 2, figsize=(8, 5), gridspec_kw=dict(height_ratios=(1, 0.1)) |
|
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