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Calculated Shard: 169 (from laksa135)

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📍
LOCATION
Host 169 · Partition 51
laksa169
17435841955170310369
📄
INDEXABLE
CRAWLED
1 month ago
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ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH1.3 months ago
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://catboost.ai/docs/en/concepts/python-reference_catboost_get_object_importance
Last Crawled2026-04-24 04:51:58 (1 month ago)
First Indexed2024-11-18 16:40:41 (1 year ago)
HTTP Status Code200
Content
Meta Titleget_object_importance | CatBoost
Meta DescriptionCalculate the effect of objects from the train dataset on the optimized metric values for the objects from the input dataset:
Meta Canonicalnull
Boilerpipe Text
heavy column, fetched on demand
Markdown
heavy column, fetched on demand
Readable Markdown
heavy column, fetched on demand
ML Classification
ML Categoriesnull
ML Page Typesnull
ML Intent Typesnull
Content Metadata
Languageen
Authornull
Publish Timenot set
Original Publish Time2024-11-18 16:40:41 (1 year ago)
RepublishedNo
Word Count (Total)698
Word Count (Content)524
Links
External Links1
Internal Links52
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedNo
Redirect Targetnull
Performance
Download Time (ms)1,020
TTFB (ms)813
Download Size (bytes)180,392
Location
Host ID169 (laksa169)
Partition ID51
Root Hash17435841955170310369
Unparsed URLai,catboost!/docs/en/concepts/python-reference_catboost_get_object_importance s443