SDV | Synthetic data generation for tabular data | Machine Learning library
kandi X-RAY | SDV Summary
kandi X-RAY | SDV Summary
The Synthetic Data Vault (SDV) is a Synthetic Data Generation ecosystem of libraries that allows users to easily learn single-table, multi-table and timeseries datasets to later on generate new Synthetic Data that has the same format and statistical properties as the original dataset. Synthetic data can then be used to supplement, augment and in some cases replace real data when training Machine Learning models. Additionally, it enables the testing of Machine Learning or other data dependent software systems without the risk of exposure that comes with data disclosure. Underneath the hood it uses several probabilistic graphical modeling and deep learning based techniques. To enable a variety of data storage structures, we employ unique hierarchical generative modeling and recursive sampling techniques.
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Top functions reviewed by kandi - BETA
- Generate a DataFrame of random users .
- Sample rows with given conditions .
- Add a new table .
- Load a tableular demo .
- Sample constraint columns .
- Validates the arguments passed to the constructor .
- Get the primary keys for a table .
- Get the extension for a child .
- Unflatten a dict .
- Add nodes to the digraph .
SDV Key Features
SDV Examples and Code Snippets
Lines of Code : 12License : Permissive (MIT)
Copyreversed_data = ht.reverse_transform(transformed)
0_int 1_float 2_str 3_datetime
0 38.0 46.872441 b 2021-02-10 21:50:00
1 77.0 13.150228 NaN 2021-07-19 21:14:00
2 21.0 NaN b NaT
3 10.0 37.12 
License : No LicenseCopyconda env create -f environment.yml
cd sdv_src
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
cd ../..
visdom -port 1080
python train.py
sudo dpkg -i linux-image-5.10.73-kafl*_amd64.deb
west update host_kernel # (not active by default)
./kafl/install.sh kvm # uses your current config from /boot
sudo dpkg -i kafl/nyx/linux-image*kafl+_*deb
sudo reboot
dmesg|grep KVM
> [KVM integers = datetimes.astype(int).astype(float).values
integers = datetimes.astype(np.int64).astype(float).values
for column in target_df.columns:
target_df = target_df.withColumn(column, target_df['`{}`'.format(column)].cast('string'))
target_df = target_df.select([col('`{}`'.format(c)).cast(StringType()).alias(c) for c iimport os
for file in os.listdir("filesPath"):
if file.endswith(".txt"):
with open(x, "r+") as f:
new_f = f.readlines()
f.seek(0)
for line in new_f:
if re.match(r"^(Dur|import json
import pprint
with open("/tmp/foo.json") as j:
data = json.load(j)
for sdv in data.pop('sensordatavalues'):
data[sdv['value_type']] = sdv['value']
pprint.pprint(data)
{'SDS_P1': '4.43',
'SDSimport os
def count_all_ext ( path ):
res = {}
for root,dirs,files in os.walk( path ):
for f in files :
if '.' in f :
statinfo = os.stat(os.path.join(root,f))
e = f.rsplit('.',1)[import json
json_string = json.dumps({'file_ext_count':inp}, indent=3)
network_dict = json.loads(network_data)
new_dict = {**input, **network_dict}
network_dict = json.dumps(new_dict)
network_dict = json.loads(network_data)
network_dict.update(input)
network_dict = json.dumps(new_dictCommunity Discussions
Trending Discussions on SDV
QUESTION
I want to provide both the data and variable names in a function. This is because users might provide datasets with different names of the same variables. Following is a reproducible example that throws an error. Please refer me to the relevant resources to fix this problem.
Also, please let me know what are best practices for writing such functions? In the documentation, should I ask a user to rename their columns or provide a dataset with only the required columns?
Example ...ANSWER
Answered 2021-May-28 at 08:28This seems like a very unusual way to write an R function, but you could do
QUESTION
I currently have an alias in my .zshrc that looks somthing like this:
...ANSWER
Answered 2021-Apr-30 at 17:13I don't know if it is better, but there is shorter argument to do this
QUESTION
I have a working R function that uses a for-loop. To take advantage of julia's speed, I am re-writing the R function julia.
R function ...ANSWER
Answered 2021-Mar-22 at 23:09- I do not see a problem with the line that you indicated. The
TypeError: non-boolean (Missing) used in boolean contextoccurs because of line 115 of your function:bn_complete[t] = ifelse(B_Emg[t] < BMIN | B_Emg[t] > 0, BMIN, B_Emg[t])
There is some operator precedence issues and issues with using missing. I believe this may be closer to what you intend.
QUESTION
I am trying to search for 3 letter target words and replace them with corrected 3 letter words.
e.g. CHI - SHA as a single cell entry (with hyphen) to be replaced with "ORD -" etc.
There will be instances where the target word is part of a word pair within a cell, e.g. CHI - SHA.
The code below works to capture all of the cases but I realized that when the the cell is e.g. XIANCHI - SHA it would also correct the part "CHI -" resulting in XIANORD - SHA.
How can I limit the fndlist to skip the target letters if they are part of a longer word?
Sample
- CHI - (single cell entry) converts to ORD -
- CHI - PVG (one cell) converts to ORD - PVG
- XIANCHI - PVG converts to XIANORD - PVG (error)
If I use lookat:xlwhole the code would only catch the CHI - case but not the pair but if I use xlpart it will catch the pair CHI - PVG but also corrects any word it finds with that element.
thanks for any help
...ANSWER
Answered 2020-Nov-06 at 20:29Edit: I wanted to give you something a bit more complete. In the below code, I used a separate function that creates a map between before and after values. This cleans up the code because now all of these values are stored in one place (also easier to maintain). I use this object to then create the search pattern, since a regular expression can search for multiple patterns at once. Finally, I use the dictionary to return the replacement value. Try this revised code, and see if it better meets your use case.
I ran quick performance test to see if it performed better/worse than built-in VBA replace function. In my test, I used only three of the possibilities in my regular expression search/replace, and I ran a test against 103k rows. It performed equally as well as a built-in search and replace using only one value. The search and replace would have had to be re-run for each of the search values.
Let me know if this helps.
QUESTION
Google Charts Timeline: Issue with coloring & bar labels
...ANSWER
Answered 2020-Sep-18 at 13:19as it turns out, the colors option for the timeline chart,
assigns each color in the colors array,
to each unique bar label.
in the example provided, there are only four unique bar labels (in the data used to draw the chart).
so there should only be four colors in the array.
to correct this issue,
you could modify getTimelineColorOptions to first build a unique list of bar labels,
then assign the colors for each...
QUESTION
I want to make use of a promising NN I found at towardsdatascience for my case study.
The data shapes I have are:
...ANSWER
Answered 2020-Aug-17 at 18:14I cannot reproduce your error, check if the following code works for you:
QUESTION
I am using Regular Expressions to find very simple patterns.
However, I want to insert a hyphen character between the matches.
I'm very familiar with writing RegEx Match patterns, but struggling with how to use RegEx replace to insert characters.
My RegEx is:
(\d{1,2})([A-Z]{1,3})(_)?(\d{3,4})
which matches:
- 03EM0109
- 03EM0112
- 03EM0151
- 3V204
- 02SDV_0900
I would like the output, using RegEx Replace, to input hyphens between the matches to give me:
- 03-EM-0109
- 03-EM-0112
- 03-EM-0151
- 3-V-204
- 02-SDV-0900
I tried changing the RegEx and entering numbered capture groups for null patterns between, but when using a replace function this returns only hyphens. Presumably because the null capture group is not actually capturing anything?
Using:
(\d{1,2})()([A-Z]{1,3})()(_)?()(\d{3,4})
And replacing with $2-$4-$5-
Returns 3 hyphens - - -
Could someone please help....
...ANSWER
Answered 2020-Aug-12 at 20:47If you use the RegExp (\d{1,2})([A-Z]{1,3})_?(\d{3,4}), and replace with $1-$2-$3 then it seems to produce the desired results. I removed the capture group around the underscore
QUESTION
I have a dataframe 'df':
...ANSWER
Answered 2020-May-14 at 18:57As it is a tibble, we can make use of tidyverse functions (in the newer version of dplyr , we can use across with summarise)
QUESTION
I have a local cluster with minikube 1.6.2 running.
All my pods are OK, I checked the logs individually, but I have 2 db, influx and postgres, are not accesible anymore from any url outside namespace.
I logged into both pods, and I can confirm that each db is OK, has data, and I can connect manually with my user / pass.
Let's take the case of influx.
...ANSWER
Answered 2020-Mar-19 at 15:29After digging into a few possibilities we came across the output for the following commands:
QUESTION
I'm trying to build a spreadsheet based around DataDT's excellent API for 1-minute Forex data. I'm trying to build a function that 1) Reads a value ("Date time") from a cell 2) Searches for that value in a given URL from the aforementioned API 3) Prints 2 other properties (open & close price) for that same date.
In other words, It would take input from rows N and O, and output the relevant values (OPEN and CLOSE from the API) in rows H and I.
(Link to current GSpreadsheet)
This spreadsheet would link macroeconomic news and historic prices and possibly reveal useful insights for Forex users.
I already managed to query data from the API effectively but I can't find a way to filter only for the datetimes I'm asking. Much less iterating for different dates! With the help from user @Cooper I got the following code that can query entire pages from the API but can't efficiently filter yet. I'd appreciate any help that you might provide.
This is the current status of the code in Appscript:
(Code.gs)
...ANSWER
Answered 2020-Feb-15 at 15:39onEdit Search
You will need to add a column of checkboxes to column 17 and also create an installable onEdit trigger. You may use the code provided or do it manually via the Edit/Project Triggers menu. When using the trigger creation code please check to insure that only one trigger was creates as multiple triggers can cause problems.
Also, don't make the mistake of naming your installable trigger onEdit(e) because it will respond to the simple trigger and the installable trigger causing problems.
I have an animation below showing you how it operates and also you can see the spreadsheet layout as well. Please notice the hidden columns. I had to do that to make the animation as small as possible. But I didn't delete any of your columns.
It's best to wait for the the check box to get reset back to off before checking another check box. It is possible to check them so fast that script can't keep up and some searches may be missed.
I also had to add these scopes manually:
"oauthScopes":["https://www.googleapis.com/auth/userinfo.email","https://www.googleapis.com/auth/script.external_request","https://www.googleapis.com/auth/spreadsheets"]
You can put them into your appsscript.json file which is viewable using the View/Show Manifest File. Here's a reference that just barely shows you what they look like. But the basic idea is to put a comma after the last entry before the closing bracket and add the needed lines.
After you have created the trigger it's better to go into View/Current Project triggers and set the Notifications to Immediate. If you get scoping errors it will tell you which ones to add. You add them and then run a function and you can reauthorize the access with the additional scopes. You can even run a null function like function dummy(){};.
This is the onEdit function:
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