regress | REGex in Rust with EcmaScript Syntax | Regex library

by ridiculousfish Rust Version: 0.4.5 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | regress Summary

regress is a Rust library typically used in Utilities, Regex applications. regress has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

regress is a backtracking regular expression engine implemented in Rust, which targets JavaScript regular expression syntax. See the crate documentation for more. It's fast, Unicode-aware, has few dependencies, and has a big test suite. It makes fewer guarantees than the regex crate but it enables more syntactic features, such as backreferences and lookaround assertions.

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Quality

Security

License

Reuse

Support

regress has a low active ecosystem.

It has 156 star(s) with 9 fork(s). There are 9 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 7 open issues and 13 have been closed. On average issues are closed in 49 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of regress is 0.4.5

Quality

regress has no bugs reported.

Security

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

License

regress is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

regress releases are available to install and integrate.

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

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regress Key Features

No Key Features are available at this moment for regress.

regress Examples and Code Snippets

Simple SavedModelBuilder .

python

Lines of Code : 57

License : Non-SPDX (Apache License 2.0)

Copy

def simple_save(session, export_dir, inputs, outputs, legacy_init_op=None):
  """Convenience function to build a SavedModel suitable for serving.

  In many common cases, saving models for serving will be as simple as:

      simple_save(session,

Return a signature definition for regression .

python

Lines of Code : 42

License : Non-SPDX (Apache License 2.0)

Copy

def regression_signature_def(examples, predictions):
  """Creates regression signature from given examples and predictions.

  This function produces signatures intended for use with the TensorFlow Serving
  Regress API (tensorflow_serving/apis/predi

Validates a signature definition .

python

Lines of Code : 20

License : Non-SPDX (Apache License 2.0)

Copy

def _is_valid_regression_signature(signature_def):
  """Determine whether the argument is a servable 'regress' SignatureDef."""
  if signature_def.method_name != signature_constants.REGRESS_METHOD_NAME:
    return False

  if (set(signature_def.input

Community Discussions

Trending Discussions on regress

how to calculate model accuracy in rstudio for logistic regression

Logistic regression - create new variable using others (SAS)

Not able to get reasonable results from DenseVariational

How To dynamically generate an HTML Table using ngFor. in Angular

Rolling window calculation is added to the dataframe as a column of NaN

Shiny not reacting to uploaded CSV to allow user to select columns

Allowing user to perform regression analysis based on select variables in Shiny

Why I am retrieving high value loss for neural network regression

Using autoplotly in shiny app with user selected columns

Create different data tables using for loop in R

QUESTION

how to calculate model accuracy in rstudio for logistic regression

Asked 2021-Jun-15 at 22:26

How do you calculate the model accuracy in RStudio for logistic regression. The dataset is from Kaggle.

...

ANSWER

Answered 2021-Jun-15 at 21:39

use the package ML metrics

Source https://stackoverflow.com/questions/67993693

QUESTION

Logistic regression - create new variable using others (SAS)

Asked 2021-Jun-15 at 16:41

I have a small dataset based on a survey(about 80 obsv) & on which i want to perform a logistic regression using SAS.

My survey contains some variables (named X1,X2,X3) that i want to reunite as categories of a new created variable named X4.

The problem is that those variables X1-X3 already have categories (YES/NO/WITHOUT OPINION)

How can i reunite them as categories of X4 but with considering the values that they have ?

to help you understand my question :

Y(=1/0) = X1 X2 X3

X1-X3 each have 3 categories (YES/NO/WITHOUT OPINION)

What i want is :

Proc logistic data = have ; model Y = X4 and others such as age, city... but X4 can take 3 values.

The problem isn't creating X4 based on X1-X3 but how to affect X4 the values that X1-X3 each takes ?

(NB: i say X1-X3 but it's more)

I do this in SAS but even a theorical explanation would be helpful !

Thank you.

...

ANSWER

Answered 2021-Jun-15 at 16:41

I think that the comments are right for the most part - this probably won't help your regression.

But - to answer how to literally do this; usually what you would do is to use powers of 2 (or 3).

So, for typical "yes/no" where you don't care about the 3rd one, you'd assign things like this:

Source https://stackoverflow.com/questions/67987686

QUESTION

Not able to get reasonable results from DenseVariational

Asked 2021-Jun-15 at 16:05

I am trying a regression problem with the following dataset (sinusoidal curve) of size 500

First, I tried with 2 dense layer with 10 units each

...

ANSWER

Answered 2021-Mar-18 at 15:40

You need to define a different surrogate posterior. In Tensorflow's Bayesian linear regression example https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_Regression.ipynb#scrollTo=VwzbWw3_CQ2z

you have the posterior mean field as such

Source https://stackoverflow.com/questions/66418959

QUESTION

How To dynamically generate an HTML Table using ngFor. in Angular

Asked 2021-Jun-15 at 09:50

I am trying to dynamically generate the following html table, as seen on the screenshot

I was able to manually create the table using dummy data, but my problem is that I am trying to combine multiple data sources in order to achieve this HTML table structure.

SEE STACKBLITZ for the full example.

The Data looks like this (focus on the activities field):

...

ANSWER

Answered 2021-Jun-13 at 13:28

Oh, if you can change your data structure please do.

Source https://stackoverflow.com/questions/67956130

QUESTION

Rolling window calculation is added to the dataframe as a column of NaN

Asked 2021-Jun-14 at 15:20

I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?

I did the following, but it is not working. The 'slope' column is created, but all of the values as NaN.

...

ANSWER

Answered 2021-Jun-14 at 15:14

It's not necessary to use .groupby because there is only 1 record per day.
Don't use .reset_index(0, drop=True) because this is dropping the date index. When you drop the index from the calculation, it no longer matches the index of df, so the data is added as NaN.
- df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True) creates a pandas.Series. When assigning a pandas.Series to a pandas.DataFrame as a new column, the indices must match.

Source https://stackoverflow.com/questions/67971902

QUESTION

Shiny not reacting to uploaded CSV to allow user to select columns

Asked 2021-Jun-14 at 15:09

I am creating a shiny app and part of its purpose is to allow the user to upload a CSV and be able to select column/variables of interest. So far, I have successfully managed to upload a file, but the reactive part to select columns does not work, that is when I click on 'incorporate external information' nothing happens. I used this answer for guidance. How can I allow the user to select the columns and then display them accordingly? The purpose of column selection is to then allow the user to perform regression analysis on selected columns.

...

ANSWER

Answered 2021-Apr-25 at 11:07

It may be better to process your data once, and then use it for additional purpose. Try this

Source https://stackoverflow.com/questions/67248364

QUESTION

Allowing user to perform regression analysis based on select variables in Shiny

Asked 2021-Jun-14 at 15:08

I am creating a shiny app to allow the user to upload a CSV, select a dependent and independent variable(s) and then perform a regression analysis. So far I have been able to upload the file, and select the columns of interest based on this answer. But the app is not being able to construct the lm model. The purpose is to first generate and display lm results by using the summary and then produce some plots. How can I allow the user to perform a simple regression analysis? The sample file can be downloaded from here.

...

ANSWER

Answered 2021-Apr-26 at 14:58

Try this

Source https://stackoverflow.com/questions/67259158

QUESTION

Why I am retrieving high value loss for neural network regression

Asked 2021-Jun-14 at 13:45

I have data in the following format consisting of 80 instances. I need to predict two-parameter latency and accuracy

...

ANSWER

Answered 2021-Jun-14 at 13:45

You have very less data, just 2 columns, 80 rows and 2 target variables. All you can do is:

Add more data.
Normalize your data and then feed it to the neural network.
If neural network not giving good accuracy, try Random Forest or XGBoost.

I also want to add one thing that is your neural network architecture is wrong. Dense layer with 2 outputs and a softmax activation isn't going to give you good result here. You have to use TensorFlow's Funtional API and make 1 input 2 output neural network architecture.

Source https://stackoverflow.com/questions/67970580

QUESTION

Using autoplotly in shiny app with user selected columns

Asked 2021-Jun-14 at 07:56

I am making a shiny app that allows the user to upload a CSV, then select the independent and dependent variables. Right now I am able to upload a file, select variables and run regression analysis. But, I am stuck at the step where I would pass the lm object to autoplot then making it interactive via autoplotly in a new tab. How can I create interactive regression plots via using user selected variables in a shiny app?

...

ANSWER

Answered 2021-Apr-27 at 00:39

Try this

Source https://stackoverflow.com/questions/67274572

QUESTION

Create different data tables using for loop in R

Asked 2021-Jun-14 at 05:01

I have a task to create different subsets of the same data table as following:

...

ANSWER

Answered 2021-Jun-14 at 02:37

You can store the output in a list -

Source https://stackoverflow.com/questions/67964105

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

Vulnerabilities

No vulnerabilities reported

Install regress

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.