normalizer | This project has been re-imagined in https : //github

by superscriptjs JavaScript Version: Current License: No License

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

kandi X-RAY | normalizer Summary

normalizer is a JavaScript library. normalizer has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i node-normalizer' or download it from GitHub, npm.

This project has been re-imagined in

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Support

normalizer has a low active ecosystem.

It has 101 star(s) with 18 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 209 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of normalizer is current.

Quality

normalizer has 0 bugs and 0 code smells.

Security

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

normalizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

normalizer does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

normalizer releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

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

Top functions reviewed by kandi - BETA

kandi has reviewed normalizer and discovered the below as its top functions. This is intended to give you an instant insight into normalizer implemented functionality, and help decide if they suit your requirements.

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normalizer Key Features

No Key Features are available at this moment for normalizer.

normalizer Examples and Code Snippets

Create a new numeric column .

python

Lines of Code : 96

License : Non-SPDX (Apache License 2.0)

Copy

def numeric_column(key,
                   shape=(1,),
                   default_value=None,
                   dtype=dtypes.float32,
                   normalizer_fn=None):
  """Represents real valued or numerical features.

  Example:

  Assume we

Create a new numeric column .

python

Lines of Code : 74

License : Non-SPDX (Apache License 2.0)

Copy

def _numeric_column(key,
                    shape=(1,),
                    default_value=None,
                    dtype=dtypes.float32,
                    normalizer_fn=None):
  """Represents real valued or numerical features.

  Example:

  ```p

Compute the mean relative error .

python

Lines of Code : 66

License : Non-SPDX (Apache License 2.0)

Copy

def mean_relative_error(labels,
                        predictions,
                        normalizer,
                        weights=None,
                        metrics_collections=None,
                        updates_collections=None,

Community Discussions

Trending Discussions on normalizer

ValueError: Shapes (None,) and (None, 1) are incompatible

PIP failed to build package cytoolz

Poetry | AttributeError 'Link' object has no attribute 'name'

What is a fast way to force Python to find a module, without regard to virtualenv?

Symfony serializer: removing fields after normalization

Expected min_ndim=2, found ndim=1. Full shape received: (None,)

keras.Normalization column wise

ImportError: cannot import name 'tasks_v2' from 'google.cloud' (unknown location) in Python fastapi

Colab: (0) UNIMPLEMENTED: DNN library is not found

How to apply Keras Normalization to a ParallelMapDataset without making it eager?

QUESTION

ValueError: Shapes (None,) and (None, 1) are incompatible

Asked 2022-Mar-29 at 16:20

I have the following model :

...

ANSWER

Answered 2022-Mar-29 at 16:20

This seems to be a bug to me, or at least this behavior is not well documented. The problem occurs because y_pred is squeezed internally (for some reason). As a workaround you can use a custom metric with the same logic as used for MeanRelativeError:

Source https://stackoverflow.com/questions/71662231

QUESTION

PIP failed to build package cytoolz

Asked 2022-Mar-26 at 18:26

I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying

...

ANSWER

Answered 2022-Jan-02 at 09:59

I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.

Source https://stackoverflow.com/questions/69875694

QUESTION

Poetry | AttributeError 'Link' object has no attribute 'name'

Asked 2022-Mar-23 at 10:22

I want to install packages from poetry.lock file; using poetry install.

However, the majority of packages throw the exact same error, indicating a shared fundamental problem.

What is causing this? What is the standard fix?

Specification:

Windows 10,
Visual Studio Code,
Python 3.8.10 & Poetry 1.1.11,
Ubuntu Bash.

Terminal:

rm poetry.lock
poetry update
poetry install

...

ANSWER

Answered 2022-Mar-23 at 10:22

This looks to be an active issue relating to poetry. See here - Issue #4085. Some suggest a workaround by downgrading poetry-core down to 1.0.4.

There is an active PR to fix the issue.

Source https://stackoverflow.com/questions/69836936

QUESTION

What is a fast way to force Python to find a module, without regard to virtualenv?

Asked 2022-Feb-23 at 12:02

I'm taking over a project. 5 engineers worked on this for several years, but they are all gone. I've been tasked with trying to revive this project and keep it going. It's a big Python project with several complicated install scripts which, nowadays, have many version errors, because the stuff that worked 3 or 4 years ago is all long since deprecated and possibly discontinued.

Buried deep in one of the many install scripts (they all call each other multiple times, in a spaghetti that I cannot figure out) there is probably an instruction that sets up a virtual environment, but I can't find the line and I don't care. This software is going onto a clean install of an EC2 (with Centos 7) that I control completely. And this piece of software is the only software that will ever run on this EC2 instance, so I'm happy to install everything globally.

The install script was unable to find Python 3.6 so I manually did this:

...

ANSWER

Answered 2022-Feb-23 at 11:32

You can add any path like this:

Source https://stackoverflow.com/questions/71235965

QUESTION

Symfony serializer: removing fields after normalization

Asked 2022-Feb-20 at 09:54

After upgrading to Api platform 2.6, the non ApiResource entities started being serialized (ld-json) along with a fake identifier and their type. For example:

...

ANSWER

Answered 2022-Feb-20 at 09:54

No idea how to decorate the serializer, but I will handle your issue with an event subscriber.

The "POST_SERIALIZE" priority contains the serialized response body, and you can fetch it and modify it.

Like this:

Source https://stackoverflow.com/questions/71136317

QUESTION

Expected min_ndim=2, found ndim=1. Full shape received: (None,)

Asked 2022-Feb-19 at 16:44

In my model, I have a normalizing layer for a 1 column feature array. I assume this gives a 1 ndim output:

...

ANSWER

Answered 2021-Nov-12 at 11:25

I think you need to explicitly define an input layer with your input shape, since your output layer cannot infer the shape of the tensor coming from the normalization layer:

Source https://stackoverflow.com/questions/69933345

QUESTION

keras.Normalization column wise

Asked 2022-Feb-12 at 12:27

I want to add a Normalization layer to my keras model. And I am testing it in a simpler example, but I don't understand the results.

I did a simple test:

...

ANSWER

Answered 2022-Feb-12 at 12:07

You might be confusing this layer with a min-max scaling. The docs clearly state that:

This layer will shift and scale inputs into a distribution centered around 0 with standard deviation 1. It accomplishes this by precomputing the mean and variance of the data, and calling (input - mean) / sqrt(var) at runtime

Source https://stackoverflow.com/questions/71091238

QUESTION

ImportError: cannot import name 'tasks_v2' from 'google.cloud' (unknown location) in Python fastapi

Asked 2022-Feb-09 at 17:35

I'm trying to incorporate google-cloud-tasks Python client within my fastapi app. But it's giving me an import error like this:

...

ANSWER

Answered 2022-Feb-09 at 17:35

After doing some more research online I realized that installation of some packages is missed due to some existing packages. This issue helped me realize I need to reorder the position of google-cloud-tasks in my requirements.txt. So what I did was pretty simple, created a new virtualenv installed google-cloud-tasks as my first package and then installed everything else and finally the problem is solved.

Long story short the issue is the order in which packages are installed and that's why some packages are getting missed.

Source https://stackoverflow.com/questions/71050817

QUESTION

Colab: (0) UNIMPLEMENTED: DNN library is not found

Asked 2022-Feb-08 at 19:27

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

...

ANSWER

Answered 2022-Feb-07 at 09:19

It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

Source https://stackoverflow.com/questions/71000120

QUESTION

How to apply Keras Normalization to a ParallelMapDataset without making it eager?

Asked 2022-Feb-07 at 21:36

I am training a Tensorflow Keras CNN over images, too much training data to fit into memory. I've got a tf.Dataset preprocessing pipeline that reads the images from HDF5 files using a dataset.map() pipeline step. Now I'm trying to normalize the numeric image data to 0 mean and unit variance.

I'm following this example from this guide, except that I have that .map() in there:

...

ANSWER

Answered 2022-Feb-07 at 21:35

You could try something like this:

Source https://stackoverflow.com/questions/71024571

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

Vulnerabilities

No vulnerabilities reported

Install normalizer

You can install using 'npm i node-normalizer' or download it from GitHub, npm.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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