@saintv3ssel: lala @Cosmo #ilovemybf #ValentinesDay #bouquet #ig #boyfriend

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Region: PH

Friday 13 February 2026 14:50:13 GMT

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Comments

smy :

The comments are frying mee 😭😆

2026-02-13 21:06:39

6500

shinx :

report ko na teh ah, nababanas na ako

2026-02-14 02:49:15

1877

xie :

kakagising lang nong tao

2026-02-14 00:43:45

1109

￴￴ ￴￴ ￴￴ ￴￴ ￴￴ ￴￴ :

one of these days nak.. one of these days..

2026-02-14 00:43:44

801

kaysi :

anong point?

2026-02-14 00:56:31

227

ris :

if that's the case..

2026-02-14 02:30:35

83

𝚖𝚒𝚔𝚊𝚢𝚢 :

ano to almusal?

2026-02-14 01:23:48

98

🦖 :

laro yung comments 😭😭😭

2026-02-13 22:29:28

244

F :

anong title nong first song?

2026-02-14 01:53:08

12

Drei :

me kahapon, pagkauwi breakup

2026-02-14 05:53:34

48

yanyan :

di nyo naman sinabing undas na pala

2026-02-14 03:00:12

14

Ishaaa🤪😎 :

ⓘ 𝘠𝘰𝘶 𝘤𝘢𝘯'𝘵 𝘴𝘦𝘦 𝘵𝘩𝘪𝘴 𝘤𝘰𝘮𝘮𝘦𝘯𝘵 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘺𝘰𝘶 𝘢𝘳𝘦 𝘴𝘪𝘯𝘨𝘭𝘦

2026-02-14 03:11:35

8

yel :

OVERRRR

2026-02-14 01:59:57

8

Norman fucking Rockwell :

Ang sarap talaga ng dubai chewy cookie

2026-02-14 06:14:13

8

Paris :

may balik yan te 🥰

2026-02-14 01:43:01

11

user051719567211 :

2026-02-14 00:40:08

9

shine :

tas ako backburner?

2026-02-14 02:04:50

6

shy :

may balik 'to sayo 'te

2026-02-14 02:32:57

5

zzionszn :

Eh pano natong ginawa ko, na sayang lng.

2026-02-14 02:30:19

11

chim :

finally natapos din

2026-02-14 00:03:31

7

rynnnnnn :

pwede po favor?

2026-02-14 21:02:43

1

shane ᥫ᭡ :

HAHAHAHHAZ oo na may flower kana

2026-02-14 05:22:12

3

pj :

oo na tama na

2026-02-14 05:36:18

4

li :

wow, good morning din sayo teh

2026-02-14 02:50:28

4

wala. :

kakagising kolang ha

2026-02-14 08:12:18

2

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Conformal Predictions Implementation Using Python for Machine Learning Learn how to implement and understand conformal predictions in machine learning applications with practical code examples. This comprehensive guide covers both theory and implementation aspects of conformal predictions, including time series applications, anomaly detection, and multi-label classification. You can find, for free, this and all others slideshow on the xbe.at website. #python #machinelearning #datascience #stem #computerscience #programming #statistics #mathematics Key points to reinforce your learning path in Conformal Predictions: 1. Start with simple models first. Understand how conformal predictions work with basic algorithms like linear regression before moving to more complex models. This builds a solid foundation for understanding the underlying principles. 2. Document your nonconformity measures. Keep track of different nonconformity measures you try and their performance. Different problems may require different measures, and having this documentation will be invaluable. 3. Always validate your coverage. The theoretical guarantees of conformal prediction only hold if implemented correctly. Regularly check that your prediction intervals achieve the desired coverage on holdout data. 4. Break down complex implementations. When implementing conformal predictions for complex models, start with the basic components (calibration, scoring, prediction) and test each part separately before combining them. 5. Experiment with different significance levels. Try various significance levels to understand the trade-off between coverage and prediction set size. This helps in choosing the right level for your specific application. 6. Build a solid testing framework. Create comprehensive tests to ensure your conformal predictors maintain valid coverage across different data distributions and model changes.

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