|
330 | 330 |
|
331 | 331 | # %% |
332 | 332 | plt.figure(figsize=(9, 7)) |
333 | | -sns.stripplot(data=coefs, orient="h", color="k", alpha=0.5) |
| 333 | +sns.stripplot(data=coefs, orient="h", palette="dark:k", alpha=0.5) |
334 | 334 | sns.boxplot(data=coefs, orient="h", color="cyan", saturation=0.5, whis=10) |
335 | 335 | plt.axvline(x=0, color=".5") |
336 | 336 | plt.xlabel("Coefficient importance") |
|
389 | 389 |
|
390 | 390 | # %% |
391 | 391 | plt.figure(figsize=(9, 7)) |
392 | | -sns.stripplot(data=coefs, orient="h", color="k", alpha=0.5) |
| 392 | +sns.stripplot(data=coefs, orient="h", palette="dark:k", alpha=0.5) |
393 | 393 | sns.boxplot(data=coefs, orient="h", color="cyan", saturation=0.5) |
394 | 394 | plt.axvline(x=0, color=".5") |
395 | 395 | plt.title("Coefficient importance and its variability") |
|
492 | 492 |
|
493 | 493 | # %% |
494 | 494 | plt.figure(figsize=(9, 7)) |
495 | | -sns.stripplot(data=coefs, orient="h", color="k", alpha=0.5) |
| 495 | +sns.stripplot(data=coefs, orient="h", palette="dark:k", alpha=0.5) |
496 | 496 | sns.boxplot(data=coefs, orient="h", color="cyan", saturation=0.5, whis=10) |
497 | 497 | plt.axvline(x=0, color=".5") |
498 | 498 | plt.title("Coefficient variability") |
|
699 | 699 |
|
700 | 700 | # %% |
701 | 701 | plt.figure(figsize=(9, 7)) |
702 | | -sns.stripplot(data=coefs, orient="h", color="k", alpha=0.5) |
| 702 | +sns.stripplot(data=coefs, orient="h", palette="dark:k", alpha=0.5) |
703 | 703 | sns.boxplot(data=coefs, orient="h", color="cyan", saturation=0.5, whis=100) |
704 | 704 | plt.axvline(x=0, color=".5") |
705 | 705 | plt.title("Coefficient variability") |
|
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