Discover and read the best of Twitter Threads about #lfs

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πŸ¦‰ DVC is designed to improve upon past solutions to make the life of ML teams easier. Here’s how it differentiates from other related technologies:

🐱 Git
πŸ“¦ Git-LFS (Large File Storage)
πŸ—„ Git-annex

@Iterativeai @DVCorg
#mlOps #data #git #lfs

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🐱 Git vs DVC

DVC builds upon Git by the concept of data files – large files that should not be stored in a Git repository, but need to be tracked and versioned.

It leverages Git's features to enable managing different versions of data, data pipelines, and experiments.

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πŸ“¦ Git-LFS vs DVC

DVC does not require special servers like Git-LFS demands. Any cloud storage like S3, Google Cloud Storage, or even an SSH server can be used as a remote storage.

No additional databases, servers, or infrastructure are required.

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Read 5 tweets
πŸ”Ί3k workers (20-69 yrs) perished in #CdnPoli pandemic @CPHO_Canada. Hard to get good official #OSH info . Using #ONpoli @WSIB injury reports & PHU data from
@TOPublicHealth &
covid-19.ontario.ca
to estimate where fatalities might b . #TOpoli #PaidLeave #SickPlan #COVIDZero Image
#Pandemic #ONpoli work hotspots inc warehouse, transport, health, #OntEd, manu, construction, stores & offices. Adj fatalities for #excessdeath as per @MoriartyLab . #DayOfMourning @FredHahnCUPE @HarveyBischof @ETFOpresident @aefopresidence @OECTAProv @SharleenStewart @FolkDawson Image
Read 40 tweets
THREAD "Heartbreaking" is the only word I can find to describe today's awful πŸ‡¨πŸ‡¦ #LFS jobs numbers: both the scale of job loss, and their painfully unfair distribution. 213K jobs lost in January, back to August levels of employment, unemployment, and participation. #cdnecon ...2
Just like the first wave, job loss is concentrated among those who can least afford it. Part-timers lost all the jobs; full-timers gained work. Women lost work twice as fast as men. Temporary jobs disappeared 7 times faster than permanent. Youth (under 25) lost work 4x faster...3
The racial concentration of economic hardship mirrors the racial inequity of COVID infection. Unemployment among racialized communities is twice or more as high as for whites. 20% for SE Asian, 16% for black & Latinx. ...4
Read 8 tweets
Does anyone actually believe the unemployment rate was just 6.2% last month?? Don't. All that number proves is how irrelevant the official unemployment rate has become. Let's walk through the math: ...2 @unionsaustralia #ausecon #ABS #LFS
Official unemployment increased by just 105,000 people. Not too bad, right? Wrong. 500,000 people lost work but 'left' the labour force. Why? To be included in the labour force, you must be available for work and actively seeking it. What was the point of that in April? ...3
Let's count them in actual unemployed. Then there's another 750,000 Australians who were 'employed' but didn't work a single hour. JobKeeper helps on that score. Include them & unemployment is now 2.1 million--not the official 823,000. That's 15% of the adjusted labour force ...4
Read 5 tweets
THREAD on today's grim #LFS report: The official unemployment rate has never been a worse indicator of true unemployment. 2.4m Cdns were officially unemployed in April. That's 13.0%: bad by any definition. But that's just the start ...2 #cdnecon
There were 2.4m *more* Cdns who reported being 'employed', but who didn't work at all. Over 80% of those (1.9m) did not get paid. Include those employed but not working and not paid, takes the unemployment rate to 23.4%. But there's more ...3
There's 1.1m *more* Cdns who didn't work, and wanted to work, but did not 'actively' seek it. What's the point of looking for something that doesn't exist? Adjust both unemployment and the labour force for that group, unemployment becomes 27.7% ...4
Read 6 tweets
THREAD: Today's shocking #LFS data confirm once again why the official unemployment rate is a virtually useless indicator during a downturn. It excludes people not working but not actively searching & available for work. And people 'employed' but not working any hours...2
Just over 1 million people lost their jobs in March (as of the reference week: March 15-21). 1.3 million more kept their jobs but didn't work. 800K lost more than half their hours. Let's say roughly 2.7 million job-equivalents were lost (using half the 800K who lost >1/2 hrs)...3
But official unemployment rose by only 413K due to strict definition of who counts as 'unemployed.' The loss in jobs (2.7 million) was 6.5 times higher than the rise in unemployment. A truer measure of the unemployment rate, therefore, would be about 20%, not 'official' 7.8%...4
Read 8 tweets

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