titan | Prometheus monitoring for shiny applications | Monitoring library
kandi X-RAY | titan Summary
kandi X-RAY | titan Summary
Docs | Monitoring | Install | Metrics. Prometheus monitoring for shiny applications, plumber APIs, and other R web services.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of titan
titan Key Features
titan Examples and Code Snippets
Community Discussions
Trending Discussions on titan
QUESTION
I just noticed that read_csv()
somehow uses random numbers which is unexpected (at least to me). The corresponding base R function read.csv()
does not do that. So, what does read_csv()
use the random numbers for? I looked into the documentation but could not find a clear answer to that. Are the random numbers related to the guess_max
argument?
ANSWER
Answered 2021-Jun-10 at 19:21tl;dr somewhere deep in the guts of the cli
package (called to generate the pretty-printed output about column types), the code is generating a random string to use as a label.
A major clue is that
QUESTION
I am new to python . i am trying to run the below code but the results are not as expected:
...ANSWER
Answered 2021-Jun-06 at 21:17There is no need for the nested loop.
QUESTION
I'm trying to use pandas profiling
on titanic dateset.
Under the overview section there are some features with caption "HIGH CORRELATION
"
- I know what is the meaning of correlation, but the caption doesn't tell which feature is correlated to this feature ?
- So what is the meaning of "
HIGH CORRELATION
" in the pandas profiling doc ?
ANSWER
Answered 2021-Jun-06 at 04:25QUESTION
I'm working with PyTorch tutorial, slightly modified to use Titanic dataset. I'm using very simple network of Linear(Dense) with ReLU... I'd like to predict survival status based on age, fare and sex for example.
I experienced a strange behavior with a simple neural network (I'm experimenting on Google Colab). Sometimes when I execute training, the accuracy doesn't change at all. It's strange because I'm recreating the model...
...ANSWER
Answered 2021-Jun-04 at 17:03As this is a classification problem, your neural network's last layer should not have a relu
activation function.
Code Snippet:
QUESTION
Python beginner here...
Trying to understand how to use OneHotEncoder from the sklearn.preprocessing library. I feel pretty confident in using it in combination with fit_transform so that the results can also be fit to the test dataframe. Where I get confused is what to do with the resulting encoded array. Do you then convert the ohe results back to a dataframe and append it to the existing train/test dataframe?
The ohe method seems a lot more cumbersome than the pd.get_dummies method, but from my understanding using ohe with fit_transform makes it easier to apply the same transformation to the test data.
Searched for hours and having a lot of trouble trying to find a good answer for this.
Example with the widely used Titanic dataset:
...ANSWER
Answered 2021-Jun-02 at 02:56Your intuition is correct: pandas.get_dummies()
is a lot easier to use, but the advantage of using OHE is that it will always apply the same transformation to unseen data. You can also export the instance using pickle
or joblib
and load it in other scripts.
There may be a way to directly reattach the encoded columns back to the original pandas.DataFrame
. Personally, I go about it the long way. That is, I fit the encoder, transform the data, attach the output back to the DataFrame and drop the original column.
QUESTION
I'm trying to figure out if this is typescript compiler bug or a feature
...ANSWER
Answered 2021-May-25 at 01:56It's not a compiler bug; it's a set of features that you are not intending to use.
First, in interface
and other purely type-level object type definitions, the compiler interprets a comma (,
) as a separator between members, just like a semicolon (;
):
QUESTION
movies = [
("Titanic", 20000000),
("Dracula", 9000000),
("James Bond", 4500000),
("Pirates of the Caribbean: On Stranger Tides", 379000000),
("Avengers: Age of Ultron", 365000000),
("Avengers: Endgame", 356000000),
("Incredibles 2", 200000000)
]
...ANSWER
Answered 2021-May-24 at 15:09The normal approach for calculating averages would work here. Something along the lines of
QUESTION
I'm working on a popular Titanic dataset on Kaggle, and I would like to create a bar chart showing the numbers of survivors vs. deceased by gender. On the x-axis, I want gender (male/female). I want to have the survivors and deceased stacked and color coded.
Here is my current code, which produces four bars for each combination of male/survived, male/deceased, female/survived, female/deceased:
...ANSWER
Answered 2021-May-16 at 16:29With some example data I believe this is what you are looking for, using matplotlib
:
QUESTION
I am trying to get visualizations from titanic dataset:
...ANSWER
Answered 2021-May-16 at 18:55You forgot to specify the axis for each plot, so it is plotting them all on the same axis.
QUESTION
I get the error below when I try to send an email from the contact form in React.js and Nodemailer. I have a problem because I cannot diagnose where the problem lies. After clicking the send button in forms, no window with an error appears on the screen. Where is the reason why e-mails are not being sent?
...ANSWER
Answered 2021-May-14 at 17:36I'd same error in my first try with node-Mailer... something about tls
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install titan
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page