covid-health-systems | Simulate various COVID-19 health system capacity scenarios | Dataset library
kandi X-RAY | covid-health-systems Summary
kandi X-RAY | covid-health-systems Summary
Simulate various COVID-19 health system capacity scenarios
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QUESTION
I have two dataframes one with the dates (converted in months) of multiple survey replicates for a given grid cell and the other one with snow data for each month for the same grid cell, they have a matching ID column to identify the cells. What I would like to do is to replace in the first dataframe, the one with months of survey replicates, the month value with the snow value for that month considering the grid cell ID. Thank you
...ANSWER
Answered 2022-Apr-14 at 14:50df3 <- df1
df3[!is.na(df1)] <- df2[!is.na(df1)]
# CellID sampl1 sampl2 sampl3
# 1 1 0.1 0.4 0.6
# 2 2 0.1 0.5 0.7
# 3 3 0.1 0.4 0.8
# 4 4 0.1
# 5 5
# 6 6
QUESTION
I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.
I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.
I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free).
...ANSWER
Answered 2022-Mar-19 at 16:28Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.
You can find more information about storage authentication in the Hub docs.
Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.
QUESTION
I have a map-stype dataset, which is used for instance segmentation tasks. The dataset is very imbalanced, in the sense that some images have only 10 objects while others have up to 1200.
How can I limit the number of objects per batch?
A minimal reproducible example is:
...ANSWER
Answered 2022-Mar-17 at 19:22If what you are trying to solve really is:
QUESTION
I'm tackling a exercise which is supposed to exactly benchmark the time complexity of such code.
The data I'm handling is made up of pairs of strings like this hbFvMF,PZLmRb, each string is present two times in the dataset, once on position 1 and once on position 2 . so the first string would point to zvEcqe,hbFvMF for example and the list goes on....
I've been able to produce code which doesn't have much problem sorting these datasets up to 50k pairs, where it takes about 4-5 minutes. 10k gets sorted in a matter of seconds.
The problem is that my code is supposed to handle datasets of up to 5 million pairs. So I'm trying to see what more I can do. I will post my two best attempts, initial one with vectors, which I thought I could upgrade by replacing vector with unsorted_map because of the better time complexity when searching, but to my surprise, there was almost no difference between the two containers when I tested it. I'm not sure if my approach to the problem or the containers I'm choosing are causing the steep sorting times...
Attempt with vectors:
...ANSWER
Answered 2022-Feb-22 at 07:13You can use a trie data structure, here's a paper that explains an algorithm to do that: https://people.eng.unimelb.edu.au/jzobel/fulltext/acsc03sz.pdf
But you have to implement the trie from scratch because as far as I know there is no default trie implementation in c++.
QUESTION
I'm trying to load the DomainNet dataset into a tensorflow dataset.
Each of the domains contain two .txt files for the training and test data respectively, which is structured as follows:
ANSWER
Answered 2022-Feb-09 at 08:09You can use tf.data.TextLineDataset to load and process multiple txt files at a time:
QUESTION
I have a csv dataset with the values 0-1 for the features of the elements. I want to iterate each cell and replace the values 1 with the name of its column. There are more than 500 thousand rows and 200 columns and, because the table is exported from another annotation tool which I update often, I want to find a way in Python to do it automatically. This is not the table, but a sample test which I was using while trying to write a code I tried some, but without success. I would really appreciate it if you can share your knowledge with me. It will be a huge help. The final result I want to have is of the type: (abonojnë, token_pos_verb). If you know any method that I can do this in Excel without the help of Python, it would be even better. Thank you, Brikena
...ANSWER
Answered 2022-Jan-31 at 10:08Using pandas, this is quite easy:
QUESTION
I want to download only person class and binary segmentation from COCO dataset. How can I do it?
...ANSWER
Answered 2022-Jan-06 at 05:04use pycocotools .
- import library
QUESTION
I have a vector of words, like the below. This is an oversimplification, my real vector is over 600 words:
...ANSWER
Answered 2021-Dec-16 at 23:33Update: If a list is preferred: Using str_extract_all:
QUESTION
I have an image dataset that looks like this: Dataset
The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).
Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs). The result would ideally look like this: Sequences
I have tried using os.walk and loop inside the folder where the image dataset is saved, then I created a dataframe using pandas because I thought I could handle the files more easily but I think I am totally off target here.
ANSWER
Answered 2021-Dec-08 at 15:10The timestep of each image is 15 minutes (as you can see, the timestamp is in the filename).
Now I would like to group those images in 3hrs long sequences and save those sequences inside subfolders that would contain respectively 12 images(=3hrs)
I suggest exploiting datetime built-in libary to get desired result, for each file you have
- get substring which is holding timestamp
- parse it into
datetime.datetimeinstance usingdatetime.datetime.strptime - convert said instance into seconds since epoch using
.timestampmethod - compute number of seconds integer division (
//)10800(number of seconds inside 3hr) - convert value you got into
strand use it as target subfolder name
QUESTION
I've got a huge CSV file, which looks like this:
...ANSWER
Answered 2021-Nov-15 at 21:33You can use a regular expression for this:
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Install covid-health-systems
You need the following software to run the COVID-19 Health Systems model:.
SIMUL8 Professional, discrete event simulation software.
R, a free statistical program to run and analyze the model results using the provided scripts.
(Optional) RStudio, a useful user interface for the R program.
Contact sales@SIMUL8.com to get a license for SIMUL8 Professional.
In your message, indicate that you will be working on COVID-19. SIMUL8 is providing free 90-day licenses for analysts doing COVID-19 work.
Follow their instructions for installation.
If you run into difficulties, see their help pages or contact support@SIMUL8.com.
Open and close the program once before opening the model file; this will override the automatically-generated new installation orientation.
Go to the R website.
Under Download > CRAN, select the mirror closest to your location.
Download R version 3.6 or higher for your operating system and run the installer.
If you run into difficulties, see their help pages.
Additionally, download and install Rtools 3.5 so that any packages not available for Windows can be compiled on your local system.
Go to the RStudio website.
Download the free open source version of RStudio Desktop and run the installer.
Open the R Console to install required packages. This can be the Windows R GUI, the command-line version, or the RStudio console.
Install ProjectTemplate for loading the project: install.packages("ProjectTemplate")
Set your working directory to repository directory and load the project. This will install any additional packages needed to run the analysis scripts. setwd("C:/path/to/covid-health-systems")
If you run into difficulties, see their support pages.
Clone or download the code from this repository into a convenient location on your computer.
Launch SIMUL8 and under File > Open > Browse Computer navigate to the model/model.S8 file to open the COVID-19 Health Systems model. The first time you open this model, it will be preset with default values. You can use the +/- in the bottom right of the program if you need to adjust to fit your monitor. Note: If you make changes and then save the file, it will overwrite the defaults permanently so be cautious until you get comfortable with the model structure. You are able to save file versions or to manage changes through GitHub, just like any other document or script file. If you want to return to the original and did not keep a copy, you can simple download the files from GitHub again. Use the three blue buttons (Settings, Run, and Export) on the left side of the screen to manage the simulation. Warning: Do not use the buttons on the upper ribbon, as they are not necessary and you run the risk of unintentional modifications to the model, which may change the results in unknown ways and result in incorrect projections. If you are curious about how to build a new model in SIMUL8, please see their online tutorials, but that is not necessary for using this model. a. Settings – Enter assumptions and input your desired modeling scenarios. b. Run – Once the settings are configured, use the Run button to launch the model. c. Export – Once the model has finished running, export the results to CSV files.
Launch SIMUL8 and under File > Open > Browse Computer navigate to the model/model.S8 file to open the COVID-19 Health Systems model.
The first time you open this model, it will be preset with default values. You can use the +/- in the bottom right of the program if you need to adjust to fit your monitor. Note: If you make changes and then save the file, it will overwrite the defaults permanently so be cautious until you get comfortable with the model structure. You are able to save file versions or to manage changes through GitHub, just like any other document or script file. If you want to return to the original and did not keep a copy, you can simple download the files from GitHub again.
Use the three blue buttons (Settings, Run, and Export) on the left side of the screen to manage the simulation. Warning: Do not use the buttons on the upper ribbon, as they are not necessary and you run the risk of unintentional modifications to the model, which may change the results in unknown ways and result in incorrect projections. If you are curious about how to build a new model in SIMUL8, please see their online tutorials, but that is not necessary for using this model. a. Settings – Enter assumptions and input your desired modeling scenarios. The settings dialog boxes walk you through all of the parameters that need to be reviewed and set prior to starting the simulation run. For details on each of the parameters built into the model, see this model walkthrough video. Source data for the default parameters are listed in the appendix of this document. There are two ways to run the model: Unlimited: Estimates how many inpatient beds you will need in order to serve your patient population. Limited bed capacity: Projects the realistic experience for your hospital(s), given the realistically available bed capacity and the selected outbreak scenario(s). After you click OK in the final dialog box, SIMUL8 will verify that all of the parameter values that you set are valid. For example, it checks that you didn't accidentally enter a negative number for beds available and that the total acuity mix sums to 100%. If there is a problem, the model will alert you with a pop-up box and you must resolve the issue before running the model. b. Run – Once the settings are configured, use the Run button to launch the model. The model will begin running and you will see a simulation "Run number" and "Out of" number. This tells you how many iterations have been completed so far out of how many total runs will be completed. As the model runs, you will see the clock (in the upper left) tick forward. Once the model is finished running, it will alert you that the results are ready for export. Click OK. c. Export – Once the model has finished running, export the results to CSV files. Click Export. A dialog box will appear that asks you to name the results and to input a save destination. We recommend using a unique name that includes the date and a understandable description, particularly if you think that you may rerun the model over time. This name will be used in the R script to determine which files to analyze and is also useful for you in the future to remember which model results were related to what scenario you were analyzing at the time. To set the save location, you must type in the file folder directly. You may optionally leave the program and open an explorer window, navigate to the folder where all of your model files reside, and then copy the location address from the navigation bar at the top of the explorer window. Click OK and the results files will be exported to CSV for use in the R analysis script.
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