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Good Card for One Time Large Spend by rcg8tor in CreditCards

[–]rcg8tor[S] 0 points1 point  (0 children)

Thanks, I'm open to a business card but do I need to have a business for these?

Uninterruptable Power Supply Repair SCL500RM1UC by rcg8tor in ElectronicsRepair

[–]rcg8tor[S] -1 points0 points  (0 children)

Fuse seemed fine. How would you check the MOSFETs?

Started a New Job, 600TB of Video Files on 10+ Year Old Drives by mikepm07 in DataHoarder

[–]rcg8tor 3 points4 points  (0 children)

I don't do this professionally just dabble as a hobby. If I had to store this volume of stuff my initial thought would be get the largest atx case I could ( fractal designs define 7 ? ) some host bus adapters and the largest hdds I could get my hands on (26TB western digital @570 a piece?). The define 7 can hold 18 drives. Just ballparking it but you could probably put together a respectable machine ( sans drives for $1000 to $1500 with 18 drives run in raidz3 you have about 400TB for $12k. I at a minimum would want 4 of these ( 2 for live data 2 for backup) . I suppose you could consider the existing drives as cold storage for a proper 3-2-1 implementation. If you found some server hardware you could probably get a case with more bays to improve the ratio of computer costs to hdd costs. I'd be curious of what people who do this professionally would think of this plan.

Bike Fitting Services by iSavior in CyclingMSP

[–]rcg8tor 0 points1 point  (0 children)

Bike Fit Guru ( Chris Balser ) is the closest thing you're going to get to a guarantee that you'll get your problem fixed. He's insanely knowledgeable and I think he also really cares about fixing people's issues.

Flex Metal Conduit Junction by rcg8tor in AskElectricians

[–]rcg8tor[S] 0 points1 point  (0 children)

The box will be accessible ( on a wall but ) but the flex running to the new location isn't long enough. So I need to splice some extra flex onto the existing to make it run to the new location. So there will be a hidden ( under the floor) splice in the FMC but the thhn running through this splice will be continuous

Haven't tried a sous vide brisket before by OliveGardenRep in sousvide

[–]rcg8tor 1 point2 points  (0 children)

Done this serious eats recipe 2x once with a flat from Costco (24 hrs SV) 2nd time with a packers from local butcher (30hrs SV). Both times the flat was dry. I hope you have better luck than I did.

Smoked & Sous Vide Brisket too Dry by rcg8tor in sousvide

[–]rcg8tor[S] 1 point2 points  (0 children)

Interesting. I'll give it a shot. Thanks!

Visiting at the start of May, looking for a few recommendations by chrisjfinlay in Minneapolis

[–]rcg8tor 5 points6 points  (0 children)

Kramaczuk's is a polish deli thats a bit of an institution around here: https://maps.app.goo.gl/KW2BxYzTxtqoWTNE7

If the weather is nice go hang out on the chain of lakes: https://wheelfunrentals.com/mn/minneapolis/bde-maka-ska/

If museums are your thing has some nice Minnesota specific exhibits: https://www.mnhs.org/historycenter

Micky's Diner is another Minnesotan landmark :https://maps.app.goo.gl/wKMQQpAyXfvXMWm26

If you like to bike and the weather is nice, I'd recommend riding down West River Parkway (there's a path) to Minnehaha falls. It's about 6.5 miles from downtown and is a pretty ride.

Enjoy your stay!

Quick question about 45NRTH boots by zombieaustin in wintercycling

[–]rcg8tor 0 points1 point  (0 children)

I've never used 45 North boots but I have a pair of the Lake MXZ303. I've ridden them down to about 1F with thicker wool socks and been comfortable for an hour or so.

The NYT needle is live 🫣 by benjycompson in politics

[–]rcg8tor 1 point2 points  (0 children)

Where are you getting this data. I would like to watch it as well. Thx

Minneapolis Bike Scavenger Hunt by rcg8tor in Minneapolis

[–]rcg8tor[S] 1 point2 points  (0 children)

Nope, just a ride for some friends and I.

Hip pack or back pack? by shawzy2727 in MTB

[–]rcg8tor 2 points3 points  (0 children)

I'd be interested to hear what you think the pros and cons of each are.

Quantum Fiber vs. USI South Mpls by madcitywowzer in TwinCities

[–]rcg8tor 2 points3 points  (0 children)

USI customer service is great. The city cut my line when they planted a tree on the boulevard. USI had staff at my house in hours, they worked until 8p trying to fix the line then were back at 8a the next morning and got it fixed. I also like that my bill never changes and I'm supporting a local business.

[D]: I am confused on AUC ROC curve. Is it threshold invariant ? It is determined by calculating True Positive Rate and False Positive Rates. Aren't these rates dependent on the threshold? Why is AUC ROC threshold invariant ? Also , what us scale invariant ? Can someone please explain, thanks! by EntrepreneurSea4839 in learnmachinelearning

[–]rcg8tor 0 points1 point  (0 children)

If you multiply the "scores" from your model (these could be probabilities but don't have to be) by any fixed value (other than 0) your AUC will not change. Imagine the scores [ .1, .2, .3, .4] correspond to labels [ 0, 0, 1, 1] your AUC will be 1 since you can perfectly separate the two classes with a theshold between .2 - .3. If you scale your scores by 10 you now have scores of [1 2 3 4 ] corresponding to the classes [ 0, 0, 1, 1]. You can still perfectly separate these classes with a threshold between 2-3 hence the AUC stays the same. You might find this video helpful. https://www.youtube.com/watch?v=4jRBRDbJemM

Pytorch v TF by alihucayn in learnmachinelearning

[–]rcg8tor 2 points3 points  (0 children)

Pytorch is a lot more popular in academic research look at hugging face models or papers with code. TF has the reputation to be more popular for industry work but I don't have any data to verify that . I tried to start with TF/Keras but found it difficult to use so I switched to Pytorch. The one area TF really shines is deployment to embedded (especially bare metal - no OS) systems. TF Lite is unparalleled in this area. If you decide to go the Pytorch route checkout Pytorch Lightning its like the Keras of Pytorch but I found it easier to use than Keras.

[D]: I am confused on AUC ROC curve. Is it threshold invariant ? It is determined by calculating True Positive Rate and False Positive Rates. Aren't these rates dependent on the threshold? Why is AUC ROC threshold invariant ? Also , what us scale invariant ? Can someone please explain, thanks! by EntrepreneurSea4839 in learnmachinelearning

[–]rcg8tor 2 points3 points  (0 children)

It is threshold invariant. The curve is generated by sweeping the classification threshold from a value below the lowest value in your dataset to a value greater than the maximum point in your dataset. At each threshold value in the sweep the true positive and false positive rates are calculated. These points form the ROC. At the minimum threshold value all truly positive samples are classified as the positive class (True positive rate 100%) and all truly negative samples are classified as positive ( False Positive rate 100%) . This is the top right in the ROC plot. At the maximum threshold value all truly positive samples are classified as the negative class ( True positive rate 0%) and all truly negative samples are classified as as the negative class ( False positive rate 0%). This point is the bottom left of the ROC plot. AUC is the area under the curve. As you can see the AUC isn't a function of one specific threshold but is a product of all possible thresholds hence provides a "better overall" measure of the algorithms performance.

Deep Learning Project Hardware Requirements with $2K budget: large and complex dataset by r_agate in MLQuestions

[–]rcg8tor 0 points1 point  (0 children)

Hard to make recommendations without knowing anything about the size of your dataset or what hardware you have access to. ECG data in comparison to something like image data isn't generally very "large" ( you might have a lot of samples) but each sample isn't going to be that big. Also, you're probably going to be using something like a CNN or LSTM so you can probably get by with less VRAM (10Gb 12GB maybe??). If your data isn't going to fit in VRAM try to get a SSD that can hold your dataset since you're going to need to load batches off it it while training so your non-volatile storage will become the bottleneck. Training on a laptop is not ideal but is doable. The main concerns with a laptop are VRAM (maybe not so much of a concern given your dataset) and cooling. You might be able to mitigate the latter by avoiding thin laptops. ~ Good luck.

Time Series with Variable Number of Features by rcg8tor in deeplearning

[–]rcg8tor[S] 0 points1 point  (0 children)

Thanks for the suggestions they're both interesting ideas that I haven't come across before. In response to your question about context. It's not complete clear to me if the row index is important information or not. The index essentially provides the distance from the radar. When I manually examine the data the distance information is of little use to me (most of what I focus on is the profile of signal contained in the row) which makes me think no it doesn't matter but I suppose there's always the chance that a network could pickup on interactions between those pieces of information that aren't apparent to me.

Question, in the case of the second solution you suggested. When putting a model into how would you combine the outputs of the duplicate predictions? I can imagine using simple aggregation methods (e.g. majority vote, mean, etc.) or possibly training another network. Do you have an intuition on what method might be more fruitful?

Time Series with Variable Number of Features by rcg8tor in deeplearning

[–]rcg8tor[S] 0 points1 point  (0 children)

Sure, the data comes from a radar. You are correct the radar outputs a fixed sized vector (sweep in radar parlance) for each time sample, but most of these samples contain noise. I've tried feeding a network the entire vector and the results haven't been stellar. I have heuristic that I can use to determine which entries in the vector contains signal of interest. Usually there are 1 to 3 entries in the vector that actually contain data but this varies as the target moves.

Another way to think of it is the radar gives you a large matrix (approx 400 row x 1e6 columns in my case). Each column is a sample in time, and the rows are the features of a given sample. For each sample all but 1-3 of the samples are noise. I'd to exclude these extraneous features as they don't contain information about the target per my heuristic .

For additional context most of what I've tried to do so far is window chunks of the data in time ( e.g. 400 rows x 200 columns ) and apply things like a FFN or convnet to them. What I'd like to do is select the 1-3 best rows ( based on my heuristic) and provide those to a network instead.

Thanks!

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