yule | TypeScript FrameworkDependency Injection Dom | Dependency Injection library

by Frank-Mayer TypeScript Version: 20210420 License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | yule Summary

yule is a TypeScript library typically used in Programming Style, Dependency Injection applications. yule has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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Support

yule has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

yule has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yule is 20210420

Quality

yule has no bugs reported.

Security

yule has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

yule is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

yule releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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yule Key Features

No Key Features are available at this moment for yule.

yule Examples and Code Snippets

No Code Snippets are available at this moment for yule.

Community Discussions

Trending Discussions on yule

Java name generator variable is already defined in method main(String[])

Unvalid numeric literal on line 150

K-Means GridSearchCV hyperparameter tuning

Hyperparameter Tuning k-means clustering

as.h2o is creating 3 levels in my target variable instead of 2 levels so it makes the model multinational instead of binomial, how do I prevent this?

QUESTION

Java name generator variable is already defined in method main(String[])

Asked 2022-Jan-11 at 12:59

I am new, having a problem with my code.
I wonder how will I be able to print a variable after the if statements.
When I don't put the variable before the if statement it says that it's not initialized. here is the code:

...

ANSWER

Answered 2022-Jan-11 at 11:16

First of all, you assign variable only 1 time " String xmas2 = null;"

Source https://stackoverflow.com/questions/70665641

QUESTION

Unvalid numeric literal on line 150

Asked 2020-Jul-20 at 12:11

I'm having this boring issue. I have looked around here on Stackoverflow but I can't get what is wrong. On another hosting platform I don't have this error. This is line 150:

...

ANSWER

Answered 2020-Jul-20 at 12:11

In this case, 02 and 08 are strings, not numbers. Quote them '02' and '08'. Edit all of your strings beginning with 0

Source https://stackoverflow.com/questions/62971903

QUESTION

K-Means GridSearchCV hyperparameter tuning

Asked 2020-May-25 at 14:32

I am trying to perform hyperparameter tuning for Spatio-Temporal K-Means clustering by using it in a pipeline with a Decision Tree classifier. The idea is to use K-Means clustering algorithm to generate cluster-distance space matrix and clustered labels which will be then passed to Decision Tree classifier. For hyperparameter tuning, just use parameters for K-Means algorithm.

I am using Python 3.8 and sklearn 0.22.

The data I am interested is having 3 columns/attributes: 'time', 'x' and 'y' (x and y are spatial coordinates).

The code is:

...

ANSWER

Answered 2020-May-25 at 13:36

250 and 251 are respectively the shapes of your train and validation in GridSearchCV

look at your custom estimator...

Source https://stackoverflow.com/questions/62002331

QUESTION

Hyperparameter Tuning k-means clustering

Asked 2020-May-25 at 12:14

I am using Python 3.8 and sklearn 0.22.

The data I am interested is having 3 columns/attributes: 'time', 'x' and 'y' (x and y are spatial coordinates).

The code is:

...

ANSWER

Answered 2020-May-25 at 11:59

Your error message says it all: All intermediate steps should be transformers and implement fit and transform. In your case, your class ST_KMeans() has to implement a transform function as well to be used in a pipeline. Besides, best-practice is usually to inherit from the classes BaseEstimator and TransformerMixin from the module sklearn.base:

Source https://stackoverflow.com/questions/61972858

QUESTION

as.h2o is creating 3 levels in my target variable instead of 2 levels so it makes the model multinational instead of binomial, how do I prevent this?

Asked 2020-Apr-20 at 16:43

So I am using h2o.ai to create a binomial classification model however when I use as.h2o to convert my data sets. It takes my target variable's column header which is "BUY" and adds that to the levels so instead of just 2 levels 1 and 2 it becomes three levels which are BUY, 1, and 2. This makes it multinomial and not wanted how do i fix this?

...

ANSWER

Answered 2020-Apr-18 at 17:28

The first choice (better, but more lines of code have to change) is not to load the data into R, and have H2O load it, and also have H2O split it instead. The H2O loader will recognize the first row is a header row and treat it as column names, and not as data.

The second approach is to strip out the header row in the R code.

However, that is already the default behaviour of read.csv() (the header argument defaults to TRUE). So your data must have "BUY" somewhere other than the first row. In which case either fix the data manually, or seek and destroy that bad row after loading it into R.

(If you disagree, can you post a sample data file that demonstrates the problem, using the code you have given.)

Source https://stackoverflow.com/questions/61277101

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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You can download it from GitHub.

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