quant | Rails drives | Application Framework library
kandi X-RAY | quant Summary
kandi X-RAY | quant Summary
An open source Rails API to track "quantified self" data. Right now, the hardware companies in this space are storing your data in closed systems. Let's change that. Take the Withings WiFi scale or the FitBit, for example. Both are essential pieces of the quantified self hacker, yet both store your data in their respective, siloed databases. What happens when one of them goes bust? Or decides to pivot towards an ad-based business model?. This project includes a Rails + Postgres RESTful API to store your data.
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Top functions reviewed by kandi - BETA
- Determine if the message should be delivered .
- Defines attribute accessor for attributes
- Provides access to data for the resource
- Update the weights
- Gets the weight of the weights .
- Get the date of the datetime
- The time for a time
quant Key Features
quant Examples and Code Snippets
def _FakeQuantWithMinMaxVarsPerChannelGradient(op, grad):
"""Gradient for FakeQuantWithMinMaxVarsPerChannel op."""
return fake_quant_with_min_max_vars_per_channel_gradient(
grad,
op.inputs[0],
op.inputs[1],
op.inputs[2],
Community Discussions
Trending Discussions on quant
QUESTION
I'm currently using a UNION on 2 select statements and while I'm getting the correct data, it's not exactly what I actually need when it comes time to use it in a front-end view
I'm currently using this query:
...ANSWER
Answered 2022-Mar-28 at 17:57Try adding an outer query:
QUESTION
I am trying to run a loop which takes different columns of a dataset as the dependent variable and remaining variables as the independent variables and run the lm command. Here's my code
...ANSWER
Answered 2022-Mar-24 at 17:53We could change the line of fit
with
QUESTION
I am trying to get this requirement of flagging NaN values based on condition and particular year, below is my code:
...ANSWER
Answered 2022-Mar-18 at 17:13You could build a boolean condition that checks if "Quant" is greater than "upper" and the month is "03" or "04", and mask
"Quant" column:
QUESTION
I am working my quant. I have a set of data which is date-indexed, and the output heatmap is not sorted in any way. What I want is to sort the values of the last day (today if the case) numbers descending, and rearrange the columns respectively.
raw data:
...ANSWER
Answered 2022-Feb-18 at 09:47You can use pandas.DataFrame.sort_values method and set axis=1
in the argument.
and sort the dataframe according to the values of the last row.
QUESTION
ANSWER
Answered 2022-Feb-12 at 13:17The only problem is that there are Heywood cases, so the fa analysis isn't trustworthy.
QUESTION
Goal: run Inference in parallel on multiple CPU cores
I'm experimenting with Inference using simple_onnxruntime_inference.ipynb.
Individually:
...ANSWER
Answered 2022-Jan-21 at 16:56def run_inference(i):
output_name = session.get_outputs()[0].name
return session.run([output_name], {input_name: inputs[i]})[0] # [0] bc array in list
outputs = pool.map(run_inference, [i for i in range(test_data_num)])
QUESTION
A similar question was asked here but it didn't receive any answers.
I have a function that I need to minimize. My function has 3 parameters, x, y, and w
. Given w
, I need to find the optimal pair of x and y
that minimizes my function. However, x and y
are restricted in the interval (-0.5 ,0.5]
I tried to use the optim
function and it works when I don't have restrictions. However, when I apply the restrictions and use the L-BFGS-B method, I get an error. I cant figure out why I am getting this error.
Below is an example of my function and some of the methods I have tried. This is the function that Im trying to minimize:
...ANSWER
Answered 2022-Jan-08 at 02:02Here's a start. I added a line
QUESTION
I'm currently working with the psych package. I have the variables StockPrice, BookValuePS (PS = per share), EPS (= Earnings per share) and ESGscore.
I want to do some descriptive statistic for my final paper.
The code I use at the moment is:
...ANSWER
Answered 2021-Dec-29 at 23:18- First
11
and 12
means: Not item
, the item
column is 1
and 2
meaning that your grouping variable ggroup
has 2 items or two levels.
11
and 12
are row names: if you wrap the whole thing around tibble()
thy will disappear. In detail they mean first 1
= variable1, second 1
of 11
means level or item 1
of the grouping variable. You can get it if you follow the example at the end.
- Second
You can analyze the complete dataset grouped with this formula input: describeBy(data_excel ~ ggroup)
To avoind the error:
QUESTION
I have a shapefile with 7 regions. I have an excel file with data about reptiles in these 7 regions. I merged this shapefile with excel.
Using ggplot I tried to generate facet_wrap() from nome_popular
, however the rest of the polygon parts were omitted in each facet created.
My tentative code
shapefile: https://drive.google.com/file/d/1I1m9lBX69zjsdGBg2zfpii5H4VFYE1_0/view?usp=sharing
...ANSWER
Answered 2021-Oct-31 at 05:58The issue is that with faceting the data is splitted in groups and only the polygons contained in the splitted data will show up.
If you want all regions to be shown in each facet then one option would be to add a base map via second geom_sf
layer. In your case + geom_sf(regiao) + geom_sf()
should do the job.
As an example I make use of the default example from ?geom_sf
:
QUESTION
I want to run a bootstrap (k=10,000) and Kaplan-Meier calculations on the numeric column of three different data frames using lapply or sapply when functions are nested.
I have defined three functions to use as arguments in the command for boostrapping. One function returns a set of predefined quantiles, another the median, and a thrid a 95% confidence interval for the median. Bootstrapping fails altogether. The error I get for bootstrapping reads, "Error in x[, "Result", drop = FALSE] : incorrect number of dimensions"
KM only completes for the first data frame on the list (df).
I am using the boot and NADA2 libraries for the calculations.
Below is a REPREX of the data, functions, and commands:
...ANSWER
Answered 2021-Oct-31 at 06:12First of all you should use list
instead of c
and give the data frames names like so:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install quant
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.
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